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تاثیر ارائه اطلاعات در زمینه هنجارهای اجتماعی بر سوء‌ مصرف الکل در دانشجویان کالج و دانشگاه

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Referencias

Amaro 2009 {published data only}

Amaro H, Ahl M, Matsumoto A, Prado G, Mulé C, Kemmemer A, et al. Trial of the university assistance program for alcohol use among mandated students. Journal of Studies on Alcohol and Drugs. Supplement 2009;16:45‐56.

Baer 2001 {published data only}

Baer JS, Kivlahan DR, Blume AW, McKnight P, Marlatt GA. Brief intervention for heavy‐drinking college students: 4‐year follow‐up and natural history. American Journal of Public Health 2001;91(8):1310‐6.

Bendtsen 2012 {published data only}

Bendtsen P, McCambridge J, Bendtsen M, Karlsson N, Nilsen P. Effectiveness of a proactive mail‐based alcohol Internet intervention for university students: dismantling the assessment and feedback components in a randomized controlled trial. Journal of Medical Internet Research 2012;14(5):e142.

Bewick 2008a {published data only}

Bewick BM, Trusler K, Mulhern B, Barkham M, Hill AJ. The feasibility and effectiveness of a web‐based personalised feedback and social norms alcohol intervention in UK university students: a randomised control trial. Addictive Behaviors 2008;33(9):1192‐8.

Bewick 2010 {published data only}

Bewick BM, West R, Gill J, O'May F, Mulhern B, Barkham M, et al. Providing web‐based feedback and social norms information to reduce student alcohol intake: a multisite investigation. Journal of Medical Internet Research 2010;12(5):e59.

Bewick 2013 {published data only}

Bewick BM, West RM, Barkham M, Mulhern B, Marlow R, Traviss G, et al. The effectiveness of a web‐based personalized feedback and social norms alcohol intervention on United Kingdom university students: randomized controlled trial. Journal of Medical Internet Research 2013;15(7):e137.

Borsari 2000 {published data only}

Borsari B, Carey KB. Effects of a brief motivational intervention with college student drinkers. Journal of Consulting and Clinical Psychology 2000;68:728‐33.

Borsari 2005 {published data only}

Borsari B, Carey KB. Two brief alcohol interventions for mandated college students. Psychology of Addictive Behaviors 2005;19:296‐302.

Bryant 2009 {published data only}

Bryant ZE. Testing the effectiveness of e‐mailed BASICS feedback with college students. Unpublished dissertation, Auburn U, USA,. Bryant, Zachary Earl: Auburn U , US,, 2009.

Bryant 2013 {published data only}

Bryant ZE, Henslee AM, Correia CJ. Testing the effects of e‐mailed personalized feedback on risky alcohol use among college students. Addictive Behaviors 2013;38(10):2563‐7.

Butler 2009 {published data only}

Butler LH, Correia CJ. Brief alcohol intervention with college student drinkers: face‐to‐face versus computerized feedback. Psychology of Addictive Behaviors 2009;23(1):163‐7.

Carey 2006 {published data only}

Carey KB, Carey MP, Maisto SA, Henson JM. Brief motivational interventions for heavy college drinkers: a randomized controlled trial. Journal of Consulting and Clinical Psychology 2006;74(5):943‐54.

Carey 2011 {published data only}

Carey KB, Carey MP, Henson JM, Maisto SA, Demartini KS. Brief alcohol interventions for mandated college students: comparison of face‐to‐face counseling and computer‐delivered interventions. Addiction 2011;106(3):528‐37.

Collins 2002 {published data only}

Collins SE, Carey KB, Sliwinski MJ. Mailed personalized normative feedback as a brief intervention for at‐risk college drinkers. Journal of Studies on Alcohol 2002;63(5):559‐67.

Collins 2014 {published data only}

Collins SE, Kirouac M, Lewis MA, Witkiewitz K, Carey KB. Randomized controlled trial of web‐based decisional balance feedback and personalized normative feedback for college drinkers. Journal of Studies on Alcohol and Drugs 2014;75:982‐92.

DeJong 2006 {published data only}

DeJong W, Schneider SK, Towvim LG, Murphy MJ, Doerr EE, Simonsen NR, et al. A multisite randomized trial of social norms marketing campaigns to reduce college student drinking. Journal of Studies on Alcohol 2006;67(6):868‐79.

DeJong 2009 {published data only}

DeJong W, Scheider SK, Towvim LG, Murphy MJ, Doerr EE, Simonsen NR, et al. A multi‐site randomized trial of social norms marketing campaigns to reduce college student drinking: a replication failure. Substance Abuse 2009;30(2):127‐40.

Doumas 2008a {published data only}

Doumas DM, Haustveit T. Reducing heavy drinking in intercollegiate athletes: evaluation of a web‐based personalized feedback program. The Sport Psychologist 2008;22(2):212‐28.

Doumas 2009a {published data only}

Doumas DM, McKinley LL, Book P. Evaluation of two Web‐based alcohol interventions for mandated college students. Journal of Substance Abuse Treatment 2009;36:65‐74.

Doumas 2009b {published data only}

Doumas DM, Andersen LL. Reducing alcohol use in first‐year university students: evaluation of a Web‐based personalized feedback program. Journal of College Counseling 2009;12(1):18–32.

Eggleston 2008 {published data only}

Eggleston AM. Components analysis of a brief intervention for college drinkers. Ohio State University PhD dissertation, USA. Eggleston, Angela Meade: The Ohio State U , US,, 2008.

Ekman 2011 {published data only}

Ekman DS, Andersson A, Nilsen P, Stahlbrandt H, Johansson AL, Bendtsen P. Electronic screening and brief intervention for risky drinking in Swedish university students—a randomized controlled trial. Addictive Behaviors 2011;36(6):654‐9.

Geisner 2007 {published data only}

Geisner IM, Neighbors C, Larimer ME. A randomized clinical trial of a brief, mailed intervention for symptoms of depression. Journal of Consulting and Clinical Psychology 2006;74(2):393‐9.
Geisner IM, Neighbors C, Lee CM, Larimer ME. Evaluating personal alcohol feedback as a selective prevention for college students with depressed mood. Addictive Behaviors 2007;32:2776‐87.

Henslee 2009 {published data only}

Henslee AM, Correia CJ. The use of freshmen seminar programs to deliver personalized feedback. Journal of Alcohol and Drug Education 2009;53(3):39‐52.

Juárez 2006 {published data only}

Juarez P, Walters ST, Daugherty M, Radi C. A randomized trial of motivational interviewing and feedback with heavy drinking college students. Journal of Drug Education 2006;36(3):233‐46.

Kypri 2004 {published data only}

Kypri K, Saunders J, Williams S, McGee RO, Langley JD, Cashell‐Smith ML, et al. Web‐based screening and brief intervention for hazardous drinking: a double‐blind randomised controlled trial. Addiction 2004;99:1410‐7.

Kypri 2005 {published data only}

Kypri K, McAnally HM. Randomized controlled trial of a web‐based primary care intervention for multiple health risk behaviors. Preventive Medicine 2005;41(3‐4):761‐6.

Kypri 2008 {published and unpublished data}

Kypri K, Langley JD, Saunders JB, Cashell‐Smith ML, Herbison P. Randomized controlled trial of web‐based alcohol screening and brief intervention in primary care. Archives of Internal Medicine 2008;168(5):530‐6.

Kypri 2009 {published data only}

Kypri K, Hallett J, Howat P, McManus A, Maycock B, Bowe S, et al. Randomized controlled trial of proactive web‐based alcohol screening and brief intervention for university students. Archives of Internal Medicine 2009;169(16):1508‐14.

Kypri 2013 {published and unpublished data}

Kypri K, McCambridge J, Vater T, Bowe SJ, Saunders JB, Cunningham JA, et al. Web‐based alcohol intervention for Māori university students: double‐blind, multi‐site randomized controlled trial. Addiction 2013;108(2):331‐8.

Kypri 2014 {published and unpublished data}

Kypri K, Vator T, Bowe SJ, Saunders JB, Cunningham JA, Horton NJ, et al. Web‐based alcohol screening and brief intervention for university students: a randomized trial. JAMA 2014;311(12):1218‐24.

LaBrie 2013 {published data only}

Labrie JW, Lewis MA, Atkins DC, Neighbors C, Zheng C, Kenney SR, et al. RCT of web‐based personalized normative feedback for college drinking prevention: are typical student norms good enough?. Journal of Consulting and Clinical Psychology 2013;81(6):1074–86.

LaChance 2009 {published data only}

LaChance H, Feldstein Ewing SW, Bryan AD, Hutchison KE. What makes group MET work? A randomized controlled trial of college student drinkers in mandated alcohol diversion. Psychology of Addictive Behaviors 2009;23(4):598‐612.

Larimer 2001 {published data only}

Larimer ME, Turner AP, Anderson BK, Foder JS, Kilmer JR, Palmer RS, et al. Evaluating a brief alcohol intervention with fraternities. Journal of Studies on Alcohol 2001;62:370‐80.

Lau‐Barraco 2008 {published data only}

Lau‐Barraco C, Dunn ME. Evaluation of a single‐session expectancy challenge intervention to reduce alcohol use among college students. Psychology of Addictive Behaviors 2008;22(2):168‐75.

Lewis 2007a {published data only}

Lewis MA, Neighbors C. Optimizing personalized normative feedback: the use of gender‐specific referents. Journal of Studies on Alcohol and Drugs 2007;68:228‐37.

Lewis 2007b {published data only}

Lewis MA, Neighbors C, Oster‐Aaland L, Kirkeby B, Larimer ME. Indicated prevention for incoming college freshmen: personalized feedback and high risk drinking. Addictive Behaviors 2007;32(11):2495‐508.

Lewis 2008 {published data only}

Lewis MA, Neighbors C, Lee CM, Oster‐Aaland L. 21st birthday celebratory drinking: evaluation of a personalized normative feedback card intervention. Psychology of Addictive Behaviors 2008;22(2):176‐85.

Lewis 2014 {published data only}

Lewis MA, Patrick ME, Litt DM, Atkins DC, Kim T, Blayney JA, et al. Randomized controlled trial of a web‐delivered personalized normative feedback intervention to reduce alcohol‐related risky sexual behavior among college students. Journal of Consulting and Clinical Psychology 2014;82(3):429‐40.

Lovecchio 2010 {published data only}

Lovecchio CP, Wyatt TM, DeJong W. Reductions in drinking and alcohol‐related harms reported by first‐year college students taking an online alcohol education course: a randomized trial. Journal of Health Communication 2010;15(7):805‐19.

Marlatt 1998 {published data only}

Marlatt GA, Baer JS, Kivlahan DR, Dimeff LA, Larimer ME, Quigley LA, et al. Screening and brief intervention for high‐risk college student drinkers: results from a 2‐year follow‐up assessment. Journal of Consulting and Clinical Psychology 1998;66(4):604‐7.

Martens 2013 {published data only}

Martens MP, Smith AE, Murphy JG. The efficacy of single‐component brief motivational interventions among at‐risk college drinkers. Journal of Consultant Clinical Psychology 2013 A;81(4):691‐701.

McNally 2003 {published data only}

McNally AM, Palfai TP. Brief group alcohol interventions with college students: examining motivational components. Journal of Drug Education 2003;33(2):159‐76.

Michael 2006 {published data only}

Michael KD, Curtin L, Kirkley DE, Jones DL, Harris R. Group‐based motivational interviewing for alcohol use among college students: an exploratory study. Professional Psychology: Research and Practice 2006;37(6):629‐34.

Moore 2013 {published data only}

Moore FG, Williams A, Moore L, Murphy S. An exploratory cluster randomised trial of a university halls of residence based social norms marketing campaign to reduce alcohol consumption among 1st year students. Substance Abuse Treatment, Prevention, and Policy 2013;8:15.

Moreira 2012 {unpublished data only}

Moreira MT, Oskrochi R, Foxcroft DR. Personalised normative feedback for preventing alcohol misuse in university students: Solomon three‐group randomised controlled trial. PLoS One 2012;7(9):e44120.

Murphy 2001 {published data only}

Murphy JG, Duchnick JJ, Vuchinich RE, Davison JW, Karg R, Olson AM, et al. Relative efficacy of a brief motivational intervention for college student drinkers. Psychology of Addictive Behaviors 2001;15:373‐9.

Neal 2004 {published data only}

Neal DJ, Carey KB. Developing discrepancy within self‐regulation theory: use of personalized normative feedback and personal strivings with heavy‐drinking college students. Addictive Behaviors 2004;29(2):281‐97.

Neighbors 2004 {published data only}

Neighbors C, Larimer ME, Lewis MA. Targeting misperceptions of descriptive drinking norms: efficacy of a computer‐delivered personalized normative feedback intervention. Journal of Consulting and Clinical Psychology 2004;72(3):434‐47.

Neighbors 2006 {published data only}

Neighbors C, Lewis MA, Bergstrom RL, Larimer ME. Being controlled by normative influences: self‐determination as a moderator of a normative feedback alcohol intervention. Health Psychology 2006;25:571‐9.

Neighbors 2009 {published data only}

Neighbors C, Lee CM, Lewis MA, Fossos N, Walter T. Internet‐based personalized feedback to reduce 21st‐birthday drinking: a randomized controlled trial of an event‐specific prevention intervention. Journal of Consulting & Clinical Psychology 2009;77(1):51‐63.

Neighbors 2010 {published and unpublished data}

Neighbors C, Lewis MA, Atkins DC, Jensen MM, Walter T, Fossos N, et al. Efficacy of web‐based personalized normative feedback: a two‐year randomized controlled trial. Journal of Consulting & Clinical Psychology 2010;78(6):898‐911.

Neighbors 2011 {published data only}

Neighbors C, Jensen M, Tidwell J, Walter T, Fossos N, Lewis MA. Social‐norms interventions for light and nondrinking students. Group Processes & Intergroup Relations 2011;14(5):651‐69.

Palfai 2011 {published data only}

Palfai TP, Zisserson R, Saitz R. Using personalized feedback to reduce alcohol use among hazardous drinking college students: the moderating effect of alcohol‐related negative consequences. Addictive Behaviors 2011;36(5):539‐42.

Paschall 2011 {published and unpublished data}

Paschall MJ, Antin T, Ringwalt CL, Saltz RF. Evaluation of an Internet‐based alcohol misuse prevention course for college freshmen: findings of a randomized multi‐campus trial. American Journal of Preventive Medicine 2011;41(3):300‐8.

Patrick 2014 {published data only}

Patrick ME, Lee CM, Neighbors C. Web‐Based Intervention to Change Perceived Norms of CollegeStudent Alcohol Use and Sexual Behavior on Spring Break. Addict Behav. 2014;39(3):600‐606.

Pederson 2012 {published data only}

Pederson ER. Brief online interventions targeting risk and protective factors for increased and problematic alcohol use among American college students studying abroad. University of Washington dissertation.

Ridout 2014 {published data only}

Ridout B, Campbell A. Using Facebook to deliver a social norm intervention to reduce problem drinking at university. Drug and Alcohol Review 2014;33:667‐673.

Schaus 2009 {published data only}

Schaus JF, Sole ML, McCoy TP, Mullett N, O'Brien MC. Alcohol screening and brief intervention in a college student health center: a randomized controlled trial. Journal of Studies on Alcohol and Drugs. Supplement 2009;16:131‐41.

Simão 2008 {published data only}

Simão MO, Kerr‐Corrêa F, Smaira SI, Trinca LA, Floripes TM, Dalben I, et al. Prevention of "risky" drinking among students at a Brazilian university. Alcohol and Alcoholism (Oxford, Oxfordshire) 2008;43(4):470‐6.

Terlecki 2010 Mandated {published data only}

Terlecki MA, Larimer ME, Copeland AL. Clinical outcomes of a brief motivational intervention for heavy drinking mandated college students: a pilot study. Journal of Studies on Alcohol and Drugs 2010;71(1):54‐60.

Terlecki 2010 Voluntary {published data only}

Terlecki MA, Larimer ME, Copeland AL. Clinical outcomes of a brief motivational intervention for heavy drinking mandated college students: a pilot study. Journal of Studies on Alcohol and Drugs 2010;71(1):54‐60.

Turrisi 2009 {published data only}

Turrisi R, Larimer ME, Mallett KA, Kilmer JR, Ray AE, Mastroleo NR, et al. A randomized clinical trial evaluating a combined alcohol intervention for high‐risk college students. Journal of Studies on Alcohol and Drugs 2009;70(4):555‐67.

Walters 2000 {published data only}

Walters ST, Bennett ME, Miller JE. Reducing alcohol use in college students: a controlled trial of two brief interventions. Journal of Drug Education 2000;30(3):361‐72.

Walters 2007 {published data only}

Walters ST, Vader AM, Harris TR. A controlled trial of web‐based feedback for heavy drinking college students. Prevention Science 2007;8(1):83‐8.

Walters 2009a {published data only}

Walters ST, Vader AM, Harris TR, Field CA, Jouriles EN. Dismantling motivational interviewing and feedback for college drinkers: a randomized clinical trial. Journal of Consulting & Clinical Psychology 2009;77(1):64‐73.

Werch 2000 {published data only}

Werch CE, Pappas DM, Carlson JM, DiClemente CC, Chally PS, Sinder JA. Results of a social norm intervention to prevent binge drinking among first‐year residential college students. Journal of American College Health 2000;49(2):85‐92.

Wilke 2014 {published and unpublished data}

Wilke DJ, Mennicke A, Howell RL, Magnuson AB. A peer‐facilitated intervention to reduce risky drinking among fraternity and sorority members. Journal of Social Work Practice in the Addictions 2014;14(1):42‐63.

Wood 2007 {published data only}

Wood MD, Capone C, Laforge R, Erickson DJ, Brand NH. Brief motivational intervention and alcohol expectancy challenge with heavy drinking college students: a randomized factorial study. Addictive Behaviors 2007;32(11):2509‐28.

Wood 2010 {published data only}

Wood MD, Fairlie AM, Fernandez AC, Borsari B, Capone C, Laforge R, et al. Brief motivational and parent interventions for college students: a randomized factorial study. Journal of Consulting and Clinical Psychology 2010;78(3):349‐61.

Abbey 2009 {published data only}

Abbey A, Parkhill MR, Jacques‐Tiura AJ, Saenz C. Alcohol's role in men's use of coercion to obtain unprotected sex. Substance Use & Misuse 2009;44(9‐10):1329‐48.

Agostinelli 1995 {published data only}

Agostinelli G, Brown J, Miller WR. Effects of normative feedback on consumption among heavy drinking college students. Journal of Drug Education 1995;25(1):31‐40.

Andersson 2009 {published data only}

Andersson A, Wiréhn AB, Olvander C, Ekman DS, Bendtsen P. Alcohol use among university students in Sweden measured by an electronic screening instrument. BMC Public Health 2009;9:229.

Baer 1992 {published data only}

Baer JS, Marlatt GA, Kivlahan DR, Fromme K, Larimer ME, Williams E. An experimental test of three methods of alcohol risk reduction with young adults. Journal of Consulting and Clinical Psychology 1992;60(6):974‐9.

Barnett 1996 {published data only}

Barnett LA, Far JM, Mauss AL, Miller JA. Changing perceptions of peer norms as a drinking reduction program for college students. Journal of Alcohol and Drug Education 1996;41(2):39‐62.

Barnett 2007 {published data only}

Barnett NP, Murphy JG, Colby SM, Monti PM. Efficacy of counsellor vs. computer‐delivered intervention with mandated college students. Addictive Behaviors 2007;32(11):2529‐48.

Bendtsen 2006 {published data only}

Bendtsen P, Johansson K, Akerlind I. Feasibility of an email‐based electronic screening and brief intervention (e‐SBI) to college students in Sweden. Addictive Behaviors 2006;31(5):777‐87.

Bertholet 2011 {published data only}

Bertholet N, Gaume J, Faouzi M, Daeppen JB, Gmel G. Perception of the amount of drinking by others in a sample of 20‐year‐old men: the more I think you drink, the more I drink. Alcohol and Alcoholism 2011;46(1):83‐7.

Borsari 2009 {published data only}

Borsari B, Murphy JG, Carey KB. Readiness to change in brief motivational interventions: a requisite condition for drinking reductions?. Addictive Behaviors 2009;34(2):232‐5.

Bush 2013 {published data only}

Bush JA. The effectiveness of computer delivered personalised normative feedback on alcohol consumption and related problems among college students: a comparison of descriptive and injunctive norms. Dissertation Abstracts International Vol 73(10‐B9E)):2013.

Bustamante 2009 {published data only}

Bustamante IV, Carvalho AMP, de Oliveira EB, de Oliveira HP, Figueroa SDS, Montoya Vasquez EM, et al. University students' perceived norms of peers and drug use: a multicentric study in five Latin American countries.. Revista Latino‐Americana de Enfermagem [online] (URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104‐11692009000700013 ; accessed December 2015) 2009;17:838‐43.

Capone 2009 {published data only}

Capone C, Wood MD. Thinking about drinking: need for cognition and readiness to change moderate the effects of brief alcohol interventions. Psychology of Addictive Behaviors 2009;23(4):684‐8.

Carey 2009 {published data only}

Carey KB, Henson JM, Carey MP, Maisto SA. Computer versus in‐person intervention for students violating campus alcohol policy. Journal of Consulting and Clinical Psychology 2009;77(1):74‐87.

Cimini 2009 {published data only}

Cimini MD, Martens MP, Larimer ME, Kilmer JR, Neighbors C, Monserrat JM. Assessing the effectiveness of peer‐facilitated interventions addressing high‐risk drinking among judicially mandated college students. Journal of Studies on Alcohol & Drugs 2009;Supplement.(16):57‐66.

Collins 2005 {published data only}

Collins SE, Carey KB, Smyth J. Relationships of linguistic and motivation variables with drinking outcomes following two mailed brief interventions. Journal of Studies on Alcohol 2005;66(4):526‐35.

Collins 2009 {published data only}

Collins SE, Carey KB, Otto JM. A new decisional balance measure of motivation to change among at‐risk college drinkers. Psychology of Addictive Behaviors 2009;23(3):464‐71.

Collins 2010 {published data only}

Collins SE, Logan DE, Neighbors C. Which came first: the readiness or the change? Longitudinal relationships between readiness to change and drinking among college drinkers. Addiction 2010;105(11):1899‐909.

Coronges 2009 {published data only}

Coronges K. Social selection and influence of alcohol & marijuana implicit cognitions and behaviors: a longitudinal investigation of peer social network dynamics. Doctoral dissertation, U Southern California, USA,. U Southern California, US,, 2009.

Cronce 2010 {published data only}

Cronce JM, Larimer ME. Individual focused approached to the prevention of college student drinking. Alcohol Research & Health 2011;34(2):210‐21.

Cunningham 2008 {published data only}

Cunningham JA, Neighbors C, Wild C, Humphreys K. Ultra‐brief intervention for problem drinkers: research protocol. BMC Public Health 2008;8:298.

Cunningham 2013 {published data only}

Cunningham JA, Wong HTA. Assessing the immediate impact of normative drinking information using an immediate post‐test randomized controlled design: implications for normative feedback interventions?. Addictive Behaviors 2013;38:2252‐6.

Curtin 2001 {published data only}

Curtin L, Stephens RS, Bonenberger JL. Goal setting and feedback in the reduction of heavy drinking in female college students. Journal of College Student Psychotherapy 2001;15(3):17‐37.

Dimeff 2000 {published data only}

Dimeff LA, McNeely M. Computer‐enhanced primary care practitioner advice for high‐risk college drinkers in a student primary health‐care setting. Cognitive and Behavioral Practice 2000;7(1):82‐100.

Doumas 2008b {published data only}

Doumas DM, Hannah E. Preventing high‐risk drinking in youth in the workplace: a web‐based normative feedback program. Journal of Substance Abuse Treatment 2008;34(3):263‐71.

Doumas 2011 {published data only}

Doumas DM, Workman C, Smith D, Navarro A. Reducing high‐risk drinking in mandated college students: evaluation of two personalized normative feedback interventions. Journal of Substance Abuse Treatment 2011;40(4):376‐85.

Ehlert 2010 {published data only}

Ehlert JJ. SNAAKS: student nutrition attitudes, action, knowledge, and skills: a nutrition program tailored to the needs of predominantly Black and Hispanic college freshmen. Doctoral dissertation, Teachers College, Columbia U, USA,. Teachers Coll, Columbia U , US, 2010.

Epstein 2008 {published data only}

Epstein JA, Griffin KW, Botvin GJ. A social influence model of alcohol use for inner‐city adolescents: family drinking, perceived drinking norms, and perceived social benefits of drinking. Journal of Studies on Alcohol & Drugs 2008;69(3):397‐405.

Fleming 2010 {published data only}

Fleming MF, Balousek SL, Grossberg PM, Mundt MP, Brown D, Wiegel JR, et al. Brief physician advice for heavy drinking college students: a randomized controlled trial in college health clinics. Journal of Studies on Alcohol and Drugs 2010;71(1):23‐31.

Frone 2010 {published data only}

Frone MR, Brown AL. Workplace substance‐use norms as predictors of employee substance use and impairment: a survey of U.S. workers. Journal of Studies on Alcohol & Drugs 2010;71(4):526‐34.

Genannt 2008 {published data only}

Genannt Bonsmann SS, Walczyk T, Renggli S, Hurrell RF. Oxalic acid does not influence nonhaem iron absorption in humans: a comparison of kale and spinach meals. European Journal of Clinical Nutrition 2008;62(3):336‐41.

Ghandour 2009 {published data only}

Ghandour LA, Karam EG, Maalouf WE. Lifetime alcohol use, abuse and dependence among university students in Lebanon: exploring the role of religiosity in different religious faiths. Addiction 2009;104(6):940‐8.

Graham 2004 {published data only}

Graham JW, Tatterson JW, Roberts MM, Johnston SE. Preventing alcohol‐related harm in college students: alcohol‐related harm prevention program effects on hypothesized mediating variables. Health Education Research 2004;19(1):71‐84.

Granfield 2002 {published data only}

Granfield R. Believe it or not: examining the emergence of new drinking norms in college. Journal of Alcohol & Drug Education 2002;47(2):18‐33.

Granfield 2005 {published data only}

Granfield R. Alcohol use in college: limitations on the transformation of social norms. Addiction Research and Theory 2005;13(3):281‐92.

Gregory 2001 {published data only}

Gregory BM. College alcohol & life skills study with students athletes. Dissertation, Florida Atlantic University, USA,2001.

Grossbard 2010 {published data only}

Grossbard JR, Mastroleo NR, Kilmer JR, Lee CM, Turrisi R, Larimer ME, et al. Substance use patterns among first‐year college students: secondary effects of a combined alcohol intervention. Journal of Substance Abuse Treatment 2010;39(4):384‐90.

Hallett 2009 {published data only}

Hallett J, Maycock B, Kypri K, Howat P, McManus A. Development of a Web‐based alcohol intervention for university students: processes and challenges. Drug & Alcohol Review 2009;28(1):31‐9.

Hanewinkel 2005 {published data only}

Hanewinkel R, Wiborg G. Brief alcohol screening and intervention for college students (BASICS): a German pilot study. SUCHT 2005;51(5):285–90.

Huchting 2008 {published data only}

Huchting K, Lac A, LaBrie JW. An application of the Theory of Planned Behavior to sorority alcohol consumption. Addictive Behaviors 2008;33(4):538‐51.

Hustad 2009 {published data only}

Hustad JT, Barnett NP, Borsari B, Jackson KM. Web‐based alcohol prevention for incoming college students: a randomized controlled trial. Addictive Behaviors 2009;35(3):183‐9.

Jacobs‐Priebe 2008 {published data only}

Jacobs‐Priebe L. The social norms approach to preventing violence against women: the role of ambivalent sexism. Unpublished dissertation, Vanderbilt University, USA,. Jacobs‐Priebe, Lynette: Vanderbilt U , US,, 2008.

Kearney 2013 {published data only}

Kearney B, Manley D, Mendoza R. The impact of an alcohol education program using social norming. Kentucky Nurse 2013;April/May/June:6‐7.

Kerksiek 2008 {published data only}

Kerksiek KA, Bell NJ, Harris KS. Exploring meanings of adolescent and young adult alcohol/other drug use: perspectives of students in recovery. Alcoholism Treatment Quarterly 2008;26(3):295‐311.

Kwan 2010 {published data only}

Kwan PP. Contextualizing social network influences on substance use among high risk adolescents. Doctoral dissertation, U Southern California, USA,. U Southern California, US, 2010.

Kypri 2003 {published data only}

Kypri K, Saunders JB, Gallagher SJ. Acceptability of various brief intervention approaches for hazardous drinking among university students. Alcohol and Alcoholism 2003;38(6):626‐8.

Kypri 2007 {published data only}

Kypri K, Langley JD, Saunders JB, Cashell‐Smith ML. Assessment may conceal therapeutic benefit: findings from a randomized controlled trial for hazardous drinking. Addiction 2007;102(1):71‐80.

LaBrie 2007 {published data only}

LaBrie JW, Pedersen ER, Lamb TF, Quinlan T. A campus‐based motivational enhancement group intervention reduces problematic drinking in freshmen male college students. Addictive Behaviors 2007;32(5):889‐901.

LaBrie 2008 {published data only}

LaBrie JW, Hummer JF, Neighbors C, Pedersen ER. Live interactive group‐specific normative feedback reduces misperceptions and drinking in college students: a randomized cluster trial. Psychology of Addictive Behaviors 2008;22(1):141‐8.

LaBrie 2009 {published data only}

LaBrie JW, Hummer JF, Huchting KK, Neighbors C. A brief live interactive normative group intervention using wireless keypads to reduce drinking and alcohol consequences in college student athletes. Drug & Alcohol Review 2009;28(1):40‐7.

LaBrie 2010a {published data only}

LaBrie JW, Cail J, Pedersen ER, Migliuri S. Reducing alcohol risk in adjudicated male college students: further validation of a group motivational enhancement intervention. Journal of Child & Adolescent Substance Abuse 2010;20(1):82‐98.

LaBrie 2010b {published data only}

LaBrie JW, Hummer JF, Lac A, Lee CM. Direct and indirect effects of injunctive norms on marijuana use: the role of reference groups. Journal of Studies on Alcohol & Drugs 2010;71(6):904‐8.

Larimer 2007 {published data only}

Larimer ME, Lee CM, Kilmer JR, Fabiano PM, Stark CB, Geisner IM. Personalized mailed feedback for college drinking prevention: a randomized clinical trial. Journal of Consulting and Clinical Psychology 2007;75(2):285‐93.

Larimer 2009 {published data only}

Larimer ME, Kaysen DL, Lee CM, Kilmer JR, Lewis MA, Dillworth T, et al. Evaluating level of specificity of normative referents in relation to personal drinking behavior. Journal of Studies on Alcohol & Drugs 2009;Jul(Suppl 16):115‐21.

Lysaught 2004 {published data only}

Lysaught EM, Wodarski JS, Parris H. A comparison of an assessment/information‐based group versus an assessment‐only group: an investigation of drinking reduction with young adults. Journal of Human Behavior in the Social Environment 2004;8(4):23‐43.

Mallett 2010 {published data only}

Mallett KA, Ray AE, Turrisi R, Belden C, Bachrach RL, Larimer ME. Age of drinking onset as a moderator of the efficacy of parent‐based, brief motivational, and combined intervention approaches to reduce drinking and consequences among college students. Alcoholism, Clinical and Experimental Research 2010;34(7):1154‐61.

Maney 2002 {published data only}

Maney DW, Mortensen S, Powell MP, Lozinska‐Lee M, Kennedy S, Moore B. Alcohol‐free alternative activities for university students: modeling associated drinking behavior. American Journal of Health Behavior 2002;33(4):225‐33.

Martens 2007 {published data only}

Matthew PM, Ciminib MD, Barrb AR, Riverob EM, Vellis PA, Desemonec GA, et al. Implementing a screening and brief intervention for high‐risk drinking in university‐based health and mental health care settings: reductions in alcohol use and correlates of success. Addictive Behaviors 2007;32(11):2563‐72.

Mastroleo 2010 {published data only}

Mastroleo NR, Turrisi R, Carney JV, Ray AE, Larimer ME. Examination of posttraining supervision of peer counselors in a motivational enhancement intervention to reduce drinking in a sample of heavy‐drinking college students. Journal of Substance Abuse Treatment 2010;39(3):289‐97.

McCambridge 2008a {published data only}

McCambridge J, Day M. Randomized controlled trial of the effects of completing the Alcohol Use Disorders Identification Test questionnaire on self‐reported hazardous drinking. Addiction (Abingdon, England) 2008;103(2):241‐8.

McCambridge 2008b {published data only}

McCambridge J, Slym RL, Strang J. Randomized controlled trial of motivational interviewing compared with drug information and advice for early intervention among young cannabis users. Addiction (Abingdon, England) 2008;103(11):1809‐18.

Moreira 2008 {published data only}

Moreira T, Foxcroft DR. The effectiveness of brief personalized normative feedback in reducing alcohol‐related problems amongst university students: protocol for a randomized controlled trial. BMC Public Health 2008;8:113.

Murphy 2004 {published data only}

Murphy JG, Benson TA, Vuchinich RE, et al. A comparison of personalized feedback for college student drinkers delivered with and without a motivational interview. Journal of Studies on Alcohol 2004;65:200‐3.

Murphy 2005 {published data only}

Murphy JG, Colby SM, Correia CJ, Vuchinich RE. Using behavioral theories of choice to predict drinking outcomes following a brief intervention. Experimental and Clinical Psychopharmacology 2005;13(2):93–101.

Murphy 2012 {published data only}

Murphy S, Moore G, Williams A, Moore L. An exploratory cluster randomised trial of a university halls of residence based social norms intervention in Wales, UK. BMC Public Health 2012;12:186.

Nye 1997 {published data only}

Nye EC, Agostinelli G, Smith JE. Enhancing alcohol problem recognition: a self‐regulation model for the effects of self‐focusing and normative information. Journal of Studies on Alcohol 1997;60(5):685‐93.

Prince 2010 {published data only}

Prince MA, Carey KB. The malleability of injunctive norms among college students. Addictive Behaviors 2010;35(11):940‐7.

Ragsdale 2010 {published data only}

Ragsdale FR, Gronli TD, Batool N, Haight N, Mehaffey A, McMahon EC, et al. Effect of Red Bull energy drink on cardiovascular and renal function. Amino Acids 2010;38(4):1193‐200.

Reilly 2008 {published data only}

Reilly DW, Wood MD. A randomized test of a small‐group interactive social norms intervention. Journal of American College Health 2008;57(1):53‐60.

Saitz 2007 {published data only}

Saitz R, Palfai TP, Freedner N, Winter MR, Macdonald A, LU J, et al. Screening and brief intervention online for college students: the iHealth study. Alcohol and Alcoholism 2007;42:28‐36.

Schulenberg 2001 {published data only}

Schulenberg J, Maggs JL, Long SW, Sher KJ, Gotham HJ, Baer JS, et al. The problem of college drinking: insights from a developmental perspective. Alcoholism: Clinical and Experimental Research 2001;25(3):473‐7.

Scribner 2011 {published data only}

Scribner RA, Theall KP, Mason K, Simonsen N, Schneider SK, Towvim LG, et al. Alcohol prevention on college campuses: the moderating effect of the alcohol environment on the effectiveness of social norms marketing campaigns. Journal of Studies on Alcohol & Drugs 2011;72(2):232‐9.

Segal 2009 {published data only}

Segal DS, Stockwell T. Low alcohol alternatives: a promising strategy for reducing alcohol related harm. International Journal of Drug Policy 2009;20(2):183‐7.

Smith 2004 {published data only}

Smith BH. A randomized study of a peer‐led, small group social norming intervention designed to reduce drinking among college students. Journal of Alcohol & Drug Education 2004;47(3):67‐75.

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Spijkerman R, Roek MAE, Vermulst A, Lemmers L, Huiberts A, Engels R. Effectiveness of a web‐based brief alcohol intervention and added value of normative feedback in reducing underage drinking: a randomized controlled trial. Journal of Medical Internet Research 2010;12(5):e65.

Ståhlbrandt 2007 {published data only}

Ståhlbrandt H, Johnsson KO, Berglund M. Two‐year outcome of alcohol interventions in Swedish university halls of residence: a cluster randomized trial of a brief skills training program, twelve‐step‐influenced intervention, and controls. Alcoholism Clinical and Experimental Research 2007;31(3):458‐66.

Stamper 2004 {published data only}

Stamper GA, Smith BH, Gant R, Bogle KE. Replicated findings of an evaluation of a brief intervention designed to prevent high‐risk drinking among first‐year college students: implications for social norming theory. Journal of Alcohol and Drug Education 2004;48(2):53.

Steffian 1999 {published data only}

Steffian G. Correction of normative misperceptions: an alcohol abuse prevention program. Journal of Drug Education 1999;29(2):115‐38.

Sugarman 2009 {published data only}

Sugarman DE, Carey KB. Drink less or drink slower: the effects of instruction on alcohol consumption and drinking control strategy use. Psychology of Addictive Behaviors 2009;23(4):577‐85.

Tevyaw 2007 {published data only}

Tevyaw TO, Borsari B, Colby SM, Monti PM. Peer enhancement of a brief motivational intervention with mandated college students. Psychology of Addictive Behaviors 2007;21(1):114‐9.

Thombs 2002 {published data only}

Thombs DL, Hamilton MJ. Effects of a social norm feedback campaign on the drinking norms and behavior of division I student‐athletes. Journal of Drug Education 2002;32(3):227‐44.

Tollison 2008 {published data only}

Tollison SJ, Lee CM, Neighbors C, Neil TA, Olson ND, Larimer ME. Questions and reflections: the use of motivational interviewing microskills in a peer‐led brief alcohol intervention for college students. Behavior Therapy 2008;39(2):183‐94.

Trocker 2004 {published and unpublished data}

Trocker MT. Alcohol abuse prevention among fraternity men: addressing individual perceptions and moderating group culture determinants of high‐risk drinking. Dissertation, University of Illinois at Urbana‐Champaign, USA2004.

Turner 2008 {published data only}

Turner J, Perkins HW, Bauerle J. Declining negative consequences related to alcohol misuse among students exposed to a social norms marketing intervention on a college campus. Journal of American College Health 2008;57(1):85‐94.

Vernig 2009 {published data only}

Vernig PM, Orsillo SM. Psychophysiological and self‐reported emotional responding in alcohol‐dependent college students: the impact of brief acceptance/mindfulness instruction. Cognitive Behaviour Therapy 2009;38(3):174‐83.

Walker 2002 {published data only}

Walker K. Report on a social norm intervention at a south Australian university. Health Promotion Journal of Australia 2002;13(3):211‐3.

Walters 2009b {published data only}

Walters ST, Vader AM, Harris TR, Jouriles EN. Reactivity to alcohol assessment measures: an experimental test. Addiction (Abingdon, England) 2009;104(8):1305‐10.

Werch 2008 {published data only}

Werch CE, Moore MJ, Bian H, DiClemente CC, Ames SC, Weiler RM, et al. Efficacy of a brief image‐based multiple‐behavior intervention for college students. Annals of Behavioral Medicine 2008;36(2):149‐57.

Werch 2010 {published data only}

Werch CE, Moore MJ, Bian H, DiClemente CC, Huang IC, Ames SC, et al. Are effects from a brief multiple behavior intervention for college students sustained over time?. Preventive Medicine 2010;50(1‐2):30‐4.

White 2006 {published data only}

White HR, Morgan TJ, Pugh LA, et al. Evaluating two brief substance‐use interventions for mandated college students. Journal of Studies on Alcohol 2006;67(2):309‐17.

White 2007 {published data only}

White HR, Mun EY, Pugh L, Morgan TJ. Long‐term effects of brief substance use interventions for mandated college students: sleeper effects of an in‐person personal feedback intervention. Alcoholism: Clinical and Experimental Research 2007;31(8):1380‐91.

White 2008 {published data only}

White HR, Mun EY, Morgan TJ. Do brief personalized feedback interventions work for mandated students or is it just getting caught that works?. Psychology of Addictive Behaviors 2008;22(1):107‐16.

Wild 2007 {published data only}

Wild TC, Cunningham JA, Roberts AB. Controlled study of brief personalized assessment‐feedback for drinkers interested in self‐help. Addiction 2007;102(2):241‐50.

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Young C, Mayson T. The Alcohol Use Disorders Identification Scale (AUDIT) normative scores for a multiracial sample of Rhodes University residence students. Journal of Child & Adolescent Mental Health 2010;22(1):15‐23.

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Croom K, Lewis D, Marchell T, Lesser ML, Reyna VF, Kubicki‐Bedford L, et al. Impact of an online alcohol education course on behavior and harm for incoming first‐year college students: short‐term evaluation of a randomized trial. Journal of the American College Health Association 2009;57(4):445‐54.

Whiteside 2010 {published data only}

Whiteside U. A brief personalized feedback intervention integrating a motivational interviewing therapeutic style and dialectical behavioral therapy skills for depressed or anxious heavy drinking young adults. PhD dissertation, University of Washington, USA.

Anderson 2006

Anderson P, Baumberg B. Alcohol in Europe a public health perspective. Institute of Alcohol Studies. available from http://www.ias.org.uk/uploads/alcohol_europe.pdf, accessed December 20152006.

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Berkowitz AD. An overview of the social norms approach. In: Lederman LC, Stewart LP editor(s). Changing the Culture of College Drinking: A Socially Situated Health Communication Campaign. Cresskill, NJ: Hampton Press, 2005.

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Bewick MB, Trusler B, Barkham M, Hill JA, Cahill J, Mulhern B. The effectiveness of web‐based interventions designed to decrease alcohol consumption—A systematic review. Preventive Medicine 2008;47(1):17‐26.

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Carey KB, Scott‐Sheldon LA, Carey MP, DeMartini KS. Individual‐level interventions to reduce college student drinking: a meta‐analytic review. Addictive Behaviors 2007;32(11):2469‐94.

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Carter AC, Obremski‐Brandon K, Goldman MS. The college and noncollege experience: a review of the factors that influence drinking behavior in young adulthood. Journal of Studies on Alcohol and Drugs 2010;71(5):742–50.

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Dawson DA, Grant BF, Stinson FS, Chou PS. Another look at heavy episodic drinking and alcohol use among college and non college youth. Journal of Studies on Alcohol and Drugs 2004;65:477‐89.

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Foxcroft DR, Coombes LC, Wood S, Allen D, Almeida‐Santimano NML, Moreira TM. Motivational interviewing for alcohol misuse in young adults. Cochrane review (in press).

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Huh 2015

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Characteristics of studies

Characteristics of included studies [ordered by study ID]

Amaro 2009

Methods

Design: RCT

Follow‐up: 3 months and 6 months

Attrition: 22% at 6 months

Participants

Age: mean = 20.4 (SD = 1.08) years, 80% in the intervention arm < 21 years and 20% > 21 years. 85% and 15%, respectively, for the control arm

Sex: 71% male in the intervention arm; 76% male in the control arm

Size: N = 265 mandated students

Allocation: 133 intervention and 132 control

Country: USA

Interventions

Intervention: University Assistance Programme (UAP)

Key components: MI style interview, BASICS. Normative feedback: 2 to 3 sessions with UAP counsellor consisting of psychosocial assessment in MI style—structured to obtain info to develop brief intervention based on alcohol use and concerns presented

Delivery: individual face‐to‐face feedback

Duration: not discussed

Control: services as usual (SAU); students mandated to complete a computer‐based or group‐based alcohol education programme

Outcomes

Weekly drinking, weekend drinking, weekday drinking, BAC, heavy episodic drinking, alcohol consequences

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

Results on outcome measures presented in graphical format, but not enough data for meta‐analysis. Study authors have been contacted for clarification re: normative feedback and provision of results in the form of means and standard deviations

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition at 6‐month follow‐up (22%)

Selective reporting (reporting bias)

Unclear risk

Not clear from paper

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Baer 2001

Methods

Design: RCT
Follow‐up: 1 year, 2 years, 3 years and 4 years
Attrition: 16.5%

Participants

Age: < 19 years at baseline
Sex: 55% female
Size: N = 348 high‐risk drinkers

Allocation: no information
Country: USA

Interventions

Intervention: motivational interview (MI) with normative feedback
Key components: motivational techniques and personalised summary feedback sheet given at the end. Normative feedback: consumption patterns, rates of drinking compared with norms for same‐age peers, perceived risks and benefits of drinking, biphasic effects of alcohol, placebo and tolerance effects

Delivery: feedback sheet, interview; mailed feedback
Duration: no details
Control: no intervention given

Outcomes

Quantity, frequency, peak drinking; daily drinking questionnaire (DDQ); Rutgers Alcohol Problem Index (RAPI); alcohol dependency scale (ADS); brief drinker profile (BDP)

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"..were randomised..."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (16.5%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the type of intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Bendtsen 2012

Methods

Design: RCT individual
Follow‐up: 2 months
Attrition: 46%

Participants

Age: 86% aged 18 years to 25 years
Sex: 54% female
Size: N = 3484

Allocation: 1742 intervention and 1742 control
Country: Sweden

Interventions

Intervention: an email‐based internet alcohol intervention (e‐SBI) that has been developed by the Lifestyle Intervention Research Group at Linköping University
Key components: intervention group students received immediate feedback consisting of three statements summarising their weekly consumption, their frequency of heavy episodic drinking and their highest blood alcohol concentration during the previous three months, comparing the respondent’s drinking patterns against the safe drinking limits established by the Swedish National Institute of Public Health. Immediately after this, followed comprehensive normative feedback with information describing the participant’s alcohol use compared with that of Swedish university students and, if applicable, personalised advice concerning the need for reducing unhealthy levels or patterns of consumption. The student viewed the feedback on screen and
could print it out. In addition the student received an email with a PDF file of the feedback

Delivery: web‐based
Duration: no details
Control: assessment only without feedback

Outcomes

AUDIT score; frequency of monthly binge drinking; weekly alcohol consumption

Funding and Declared Conflicts of Interest

Conflicts of interest: PB and MB own a company that has developed the e‐SBI used in this study

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐based randomisation

Allocation concealment (selection bias)

Low risk

Computer‐based allocation

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition 46%

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

All participants unaware that they were involved in a research study. Intervention delivered electronically without human involvement

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Computer‐based questionnaire administration

Bewick 2008a

Methods

Design: RCT

Follow‐up: 12 weeks

Attrition: 37%

Participants

Age: mean = 21.29 years (SD = 3.68)

Sex: 69% female

Size: N = 506 provided informed consent

Allocation: 234 intervention and 272 control

Country: UK

Interventions

Intervention: personalised normative feedback

Key components: feedback on level of alcohol consumption, social norms Information and generic Information. Normative feedback: information on own consumption, associated risk, information on binge drinking behaviour, rates of drinking compared with norms for peers, negative effects reported by peers within same risk category

Delivery: web‐based

Duration: not discussed

Control: assessment only

Outcomes

CAGE; drinks per occasion; drinks in last week

Funding and Declared Conflicts of Interest

Funded by European Research Advisory Board (European Brewers). No information about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

SPSS random sampling function

Allocation concealment (selection bias)

Unclear risk

Of all students answering the student experience survey, half of those who registered their interest in this study were randomly selected to be invited. Method of random selection/allocation to study unclear

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 37% at 12 weeks, no ITT or missing data analysis

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the type of intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based administration

Bewick 2010

Methods

Design: RCT

Follow‐up: week 1, week 8, week 16, week 24

Attrition: 38% at week 8, 58% at week 16, 66% at week 24

Participants

Age: mean = 21.45 years (SD = 5.19), range between 18 and 67

Sex: 73% female

Size: N = 1112

Allocation: 758 intervention and 354 control

Country: UK

Interventions

Intervention: 'Unitcheck'

Key components: feedback on level of alcohol consumption, social norms information and generic information. Normative feedback: summarised the proportion of university students who report drinking less alcohol than they consume, frequency of students within various calculated risk levels, negative effects of alcohol intake reported by students within the same risk category as the participant

Delivery: web‐based

Duration: not discussed

Control: assessment only

Outcomes

Units per week; units per occasion

Funding and Declared Conflicts of Interest

Funded by Alcohol Education and Research Council (AERC); CoI statement: "In the past, authors Bewick, Barkham, Hill, Gill, and O'May have received funding from the European Research Advisory Board. Author Bewick, as a keynote speaker, has received reimbursement of travel expenses from Anheuser‐Busch. Authors Gill and O'May have previously received funding from the Portman Group"

Notes

Results for immediate and delayed feedback were combined for MA

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information on sequence generation

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (66%)

Selective reporting (reporting bias)

High risk

Only alcohol quantity results reported. No other outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based administration

Bewick 2013

Methods

Design: RCT

Follow‐up: 1 week and 20 weeks

Attrition: 54% and 60%

Participants

Age: mean = 20.8 years, range between 17 and 50

Sex: 70% female

Size: N = 1478

Allocation: 723 intervention and 755 control

Country: UK

Interventions

Intervention: 'Unitcheck'

Key components: feedback on level of alcohol consumption, social norms information and generic information. Normative feedback: summarised the proportion of university students who report drinking less alcohol than they consume, frequency of students within various calculated risk levels, negative effects of alcohol intake reported by students within the same risk category as the participant

Delivery: web‐based

Duration: not discussed

Control: assessment only

Outcomes

7‐day drinking diary; alcohol‐related risky behaviour; CAGE

Funding and Declared Conflicts of Interest

Funded by European Research Advisory Board (ERAB); CoI statement: "In the past, Bewick, as keynote speaker, has received reimbursement of travel expenses from Anheuser‐Busch and Noctis"

Notes

Insufficient information for inclusion of results in MA; study author contacted for additional details

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Insufficient information

Allocation concealment (selection bias)

Unclear risk

Insufficient information

Incomplete outcome data (attrition bias)
All outcomes

High risk

60% loss to follow‐up

Selective reporting (reporting bias)

High risk

Not all outcomes included in regression models

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Insufficient information

Borsari 2000

Methods

Design: RCT
Follow‐up: 6 weeks
Attrition: 1%

Participants

Age: mean = 18.58 years
Sex: 55% female
Size: N = 60 binge drinkers

Allocation: 29 intervention and 31 control
Country: USA

Interventions

Intervention: modelled on Brief Alcohol Screening and Intervention of College Students (BASICS)
Key components: MI with normative feedback, positive and negative. Normative feedback: student's alcohol use in the past month, compared with both campus and national norms, perceptions of close friends' drinking and that of the typical student, perceived norms on drinking, negative consequences of drinking. The influence of positive and negative expectancies on personal use, perceived risks and benefits of drinking, accurate information about alcohol and its effects, consequences of drinking

Delivery: group face‐to‐face session
Duration: 1 hour
Control: no intervention given

Outcomes

Number of drinks, frequency of binge drinking

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"...by flip of a coin..."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (1%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not discussed in this study

Borsari 2005

Methods

Design: RCT
Follow‐up: 3 months and 6 months

Attrition: none

Participants

Age: mean = 19.1 years
Sex: 17% female
Size: N = 64 mandated students
Allocation: 34 intervention and 30 control

Country: USA

Interventions

Intervention: BMI
Key components: personalised normative feedback (PNF), normative quantity and frequency of drinking, blood alcohol content (BAC), alcohol‐related consequences and alcohol expectancies. Normative feedback: normative quantity and frequency of drinking, BAC and tolerance, alcohol‐related problems, influence of setting and expectancies on drinking and alcohol expectancies

Delivery: individual face‐to‐face BMI
Duration: BMI session: 62 minutes, alcohol education (AE) session: 46 minutes
Control: alcohol education session

Outcomes

AUDIT, RAPI, BAC, Alcohol and Drug Use (ADU) measure, Inventory of Drinking Situations (IDS)

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Coin toss..."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not discussed

Bryant 2009

Methods

Design: RCT

Follow‐up: 6 weeks

Attrition: 40.7% (from baseline)

Participants

Age: mean = 18.70 years

Sex: 76% female

Size: N = 322

Allocation: no information

Country: USA

Interventions

Intervention: BASICS feedback

Key components: personalised feedback

Delivery: web‐based (emailed)

Duration: not discussed

Control: generic feedback on college student alcohol use and associated consequences

Outcomes

AUDIT, RAPI, DDQ, retrospective drinking diary (RDD)

Funding and Declared Conflicts of Interest

No information

Notes

Study author contacted for details of N in each group ‐ needed for MA

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

High attrition (41%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this type of intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Bryant 2013

Methods

Design: RCT

Follow‐up: 6 weeks

Attrition: 38%

Participants

Age: mean = 18.7 years

Sex: 76% male

Size: N = 191

Allocation: no information

Country: USA

Interventions

Intervention: personalised normative feedback

Key components: Feedback forms included information about estimated blood alcohol level (BAL) on typical and peak drinking occasions, self‐reported negative consequences, weekly average number of standard drinks, gender‐specific normative data and the amount of time and money allocated to alcohol

Delivery: web‐based

Control: generic feedback (information only)

Outcomes

Quantity of drinking, AUDIT score, alcohol‐related consequences, frequency of drinking, binge drinking, perceived norms

Funding and Declared Conflicts of Interest

No information about potential conflicts of interest or funding

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (38%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and researcher/preventionist not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Butler 2009

Methods

Design: RCT

Follow‐up: 4 weeks

Attrition: 26%

Participants

Age: intervention arm: mean = 20.60 years (SD = 1.48); control arm: mean = 20.38 years (SD = 1.49)

Sex: 63% females in intervention arm, 65% females in control arm

Size: N = 104 at‐risk students

Allocation: no information

Country: USA

Interventions

Intervention: personalised feedback

Key components: personalised normative feedback and alcohol information. Normative feedback: corrective feedback on normative drinking on campus, gender‐specific percentile rank comparing participant's alcohol consumption vs campus norms, review of participant's binge drinking frequency and related consequences, personalised BAC curve for typical and heavy drinking occasions, review of alcohol‐related reported problems and gender‐specific percentile ranking related to problems, calorie consumption, expenditure. Review of harm reduction strategies and resources off and on campus

Delivery: computer‐based

Duration: average 11.11 minutes (SD = 3.56)

Control group: assessment only

Outcomes

Alcohol use days, binge drinking days per month, drinks per week, alcohol‐related consequences

Funding and Declared Conflicts of Interest

No information

Notes

Randomised block design was used to separately randomly assign male and female participants. Study had two intervention arms vs control: both equally relevant for this review. Hence the control was used twice in this case—once vs face to face arm and once vs computerised arm

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition 26% at follow‐up

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Carey 2006

Methods

Design: RCT
Follow‐up: 1 month, 6 months and 12 months
Attrition: 3% at 1 month, 23% at 6 months, 13% at 12 months

Participants

Age: mean = 19.2 years
Sex: 65% female
Size: N = 166 in the arms included in this review

Allocation: 85 intervention and 81 control
Country: USA

Interventions

Intervention: BMI
Key components: personalised normative feedback, effects of alcohol, alcohol‐related consequences and alcohol expectancies. Normative feedback: drinking patterns, local and national gender‐specific drinking norms, tolerance, typical and peak BAC, positive and negative alcohol expectancies, alcohol‐related negative consequences and risk behaviour (e.g. driving); discussion of harm reduction, individual goal setting and tips for safer drinking

Delivery: individual face‐to‐face BMI
Duration: not discussed
Control: no intervention given

Outcomes

Drinks per week, drinks per heaviest week, drinks per day, heavy drinking episodes, typical BAC, peak BAC, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"...assigned randomly within gender..."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (13% at final follow‐up)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Carey 2011

Methods

Design: RCT

Follow‐up: 1 month, 6 months and 12 months

Attrition: 4% at 1 month, 42% at 6 months, 32% at 12 months

Participants

Age: mean = 19 years (SD = 0.71)

Sex: 64% males

Size: N = 338 mandated students in the arms included in this review

Allocation: 164 intervention and 174 control

Country: USA

Interventions

Intervention: BMI

Key components: personalised feedback, alcohol‐related education, discussion of harm reduction strategies. Normative feedback: personalised feedback sheet summarised, drinking patterns contrasted with gender‐specific national and local norms, typical and peak BAC information, alcohol‐related negative consequences and risky behaviours, personalised goal setting for risk reduction, tips for safer drinking

Delivery: individual face‐to‐face

Duration: 62 (SD = 16.58) minutes on average

Control: assessment only

Outcomes

Drinks per week, drinks per heaviest week, heavy drinking frequency, typical and peak BAC, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA. Study authors declare no CoI

Notes

Only 1‐month follow‐up data used in MA as control participants given alcohol intervention after 1 month

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition at 1 month (4%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Assessors not blind to condition

Collins 2002

Methods

Design: RCT
Follow‐up: 6 weeks, 6 months
Attrition: 35%

Participants

Age: mean = 18.67 years
Sex: 50% male
Size: N = 100 high‐risk students

Allocation: 49 intervention and 51 control

Country: USA

Interventions

Intervention: BMI
Key components: mailed motivational feedback; personalised normative feedback
Delivery: mailed feedback

Duration: no details
Control: alcohol education leaflet mailed

Outcomes

Measures included number of drinks consumed per heaviest drinking week, frequency of heavy drinking episodes, peak blood alcohol concentration and number of alcohol‐related problems, all for the last month

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"Participants were randomly assigned by gender..."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition at 6 months (35%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not discussed in this study

Collins 2014

Methods

Design: RCT

Follow‐up: 1 month, 6 months and 12 months

Attrition: 20% at 12 months

Participants

Age: mean = 20.8 years (SD = 1.42)

Sex: 54% female

Size: N = 473 previous month heavy drinkers

Allocation: 242 intervention and 231 control

Country: USA

Interventions

Intervention: Social Normative Feedback

Key components: PNF presented participants with personalized information designed to reduce overestimated normative perceptions about drinking in one’s peer group.
The PNF consisted of four main feedback elements: (a) typical weekly quantity compared with perceived and actual same‐gender peer norms, (b) typical and peak estimated BAL compared with same‐gender peer norms, (c) calories consumed from alcohol in a typical week compared with same‐gender peer norms, and (d) money spent on alcohol during a typical week compared with same‐gender peer norms

Delivery: web feedback

Duration: brief (duration not provided)

Control: assessment only

Outcomes

Daily drinking questionnaire (DDQ), RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA. No CoI declaration

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Automatic randomization

Allocation concealment (selection bias)

Low risk

Automatic randomisation and allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition 20%

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based survey

DeJong 2006

Methods

Design: cluster RCT by 18 matched universities
Follow‐up: 3 years

Attrition: N/A

Participants

Age: 46.3% < 21 years
Sex: 60.8% female
Size: N = 18 institutions and 2921 participants at baseline survey

Allocation: 9 (1515) intervention and 9 (1406) control
Country: USA

Interventions

Intervention: social marketing campaign
Key components: core messages posted based on two questionnaires; example: "67% of XYZ University students have 4 or fewer drinks when they party"

Normative feedback: core message reported a normative behaviour for all students and corrected an identified misperception. Core message based on two student survey questions: "What is the number of drinks you consume in a week?" and "When you party, how many drinks do you usually have?"

Example: "67% of XYZ University students have 4 or fewer drinks when they party"

Delivery: core messages posted on university campus
Duration: 3‐year campaign
Control: no intervention given

Outcomes

30‐day frequency, drinks per week, drinks when partying, recent maximum consumption, alcohol‐related consequences

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential conflicts of interest

Notes

No adjustment for clustering effects

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Sample surveys undertaken at each time point; no follow‐up of individuals

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

DeJong 2009

Methods

Design: cluster RCT by 14 matched universities
Follow‐up: 3 years

Attrition: N/A

Participants

Age: 88.5% < 24 years
Sex: 55% female
Size: N = 14 institutions and 2236 completed survey responses at baseline

Allocation: 7 (1117) intervention and 7 (1119) control
Country: USA

Interventions

Intervention: social norms marketing campaign
Key components: core messages posted on universities based on one of two questionnaires. Example: "67% of XYZ University students have 4 or fewer drinks when they party". Normative feedback: core message reported a normative behaviour for all students and corrected an identified misperception. Core message based on two student survey questions: "What is the number of drinks you consume in a week?" and "When you party, how many drinks do you usually have?" Example: "67% of XYZ University students have 4 or fewer drinks when they party"
Delivery: core messages posted on university campus

Duration: 3‐year campaign
Control: no intervention given

Outcomes

30‐day frequency, drinks per week, drinks when partying, recent maximum consumption, BAC, alcohol‐related consequences

Funding and Declared Conflicts of Interest

Funded by NIAAA and US Department of Education; no information about potential conflicts of interest

Notes

No adjustment for clustering effects

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Sample surveys undertaken at each time point; no follow‐up of individuals

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Doumas 2008a

Methods

Design: cluster RCT

Follow‐up: 6 weeks and 3 months

Attrition: 44% at 3 months

Participants

Age: 18 years to 20 years, mean = 18.10 (SD = 0.61)

Sex: 58% male

Size: N = 3 classes and 52 students

Allocation: 2 (28) intervention and 1 (24) control

Country: USA

Interventions

Intervention: personalised normative feedback

Key components: personalised feedback, normative data regarding drinking and related risks. Normative feedback: personalised graphical feedback on individual drinking levels in relation to national peer norms (pie chart), summary of alcohol consumption in past year, approximate financial cost, calories associated with drinking, how quickly the body processes alcohol, associated risk status for negative consequences and risk status for problematic drinking based on (AUDIT) score

Delivery: web‐based

Duration: 15 minutes

Control: web‐based alcohol education

Outcomes

Drinking quantity and peak consumption (DDQ), frequency of drinking to intoxication

Funding and Declared Conflicts of Interest

No information

Notes

No adjustment for clustering effects

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 44% at 3 months

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Doumas 2009a

Methods

Design: RCT

Follow‐up: 1 month

Attrition: 11.8%

Participants

Age: 18 years to 24 years, mean = 19.24 (SD = 1.33)

Sex: 72.4% male

Size: N = 76 mandated students

Allocation: 46 intervention and 31 control (as reported, although N = 77)

Country: USA

Interventions

Intervention: personalised normative feedback

Key components: personalised normative feedback and normative data. Normative feedback: personalised and normative graphical feedback on level of drinking relative to US peers norms

Delivery: web‐based

Duration: 15 minutes

Control: web‐based alcohol education

Outcomes

Drinking quantity and peak consumption (DDQ), frequency of drinking to intoxication, RAPI, AUDIT

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random numbers table

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition = 11.8%

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Doumas 2009b

Methods

Design: cluster RCT

Follow‐up: 3 months

Attrition: 38%

Participants

Age: 18 years to 54 years, mean = 21.99 (SD = 7.69)

Sex: 59% male

Size: N = 6 classes and 70 students

Allocation: 3 (28) intervention and 3 (42) control

Country: USA

Interventions

Intervention: Electronic‐Check Up To Go (e‐CHUG)

Key components: personalised normative feedback. Normative feedback: personalised feedback regarding drinking and its associated risks, normative data for the university population

Delivery: web‐based

Duration: 15 minutes

Control: assessment only

Outcomes

Drinking quantity and peak consumption (DDQ), frequency of drinking to intoxication, RAPI, AUDIT

Funding and Declared Conflicts of Interest

No information

Notes

No adjustment for clustering effects

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 38% from randomisation, 35% from baseline

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Eggleston 2008

Methods

Design: RCT

Follow‐up: 6 months

Attrition: 87.29% from randomisation, 66.95% from baseline

Participants

Age: mean = 19.0 years (SD = 1.7)

Sex: 58% female

Size: N = 115 heavier drinkers

Allocation: 76 intervention and 39 control

Country: USA

Interventions

Intervention: normative feedback alone.

Key components: BASICS; personalised feedback, normative information. Normative feedback: individuals' personalised feedback with information on normative perceptions and their influence

Delivery: individual face‐to‐face

Duration: not discussed for intervention arms, control arms one to two hours

Control: assessment only

Outcomes

Drinks per day in average week, AUDIT, RAPI

Funding and Declared Conflicts of Interest

Funded by Ohio State University Wellness Award; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 87% at follow‐up

Selective reporting (reporting bias)

High risk

Not all prespecified outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants or personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Ekman 2011

Methods

Design: RCT

Follow‐up: 3 months and 6 months

Attrition: intervention: 3 months = 62%, 6 months = 76%; control: 3 months = 65%, 6 months = 76%

Participants

Age: 18 years to 25 years, 13 participants over 26 years of age

Sex: intervention group: 46% male; control group: 37% male

Size: N = 295 risky drinkers

Allocation: 150 intervention and 145 control

Country: Sweden

Interventions

Intervention: E‐Screening and Brief Intervention

Key components: statements summarising weekly consumption, frequency of heavy episodic drinking and highest BAC in past three months, compared with Swedish safe drinking limits, and normative feedback along with advice on reducing unhealthy levels. Normative feedback: comprehensive feedback on individual alcohol used compared with peers at the university

Delivery: web‐based

Duration: not discussed

Control: very brief summary only feedback

Outcomes

Weekly consumption, heavy episodic drinking, peak BAC, risky drinker status

Funding and Declared Conflicts of Interest

No funding; one study author declared, "Partner of a company that develops similar applications as the one used in this study"

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Computerized assignment to groups"

Allocation concealment (selection bias)

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (76%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of personnel not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based remote administration

Geisner 2007

Methods

Design: RCT

Follow‐up: 1 month

Attrition: 5%

Participants

Age: 19.28 years (SD = 1.97)

Sex: 70% female

Size: N = 177 students with increased depression scores

Allocation: 89 intervention and 88 control

Country: USA

Interventions

Intervention: personalised alcohol feedback

Key components: the student's drinking percentile was calculated on the basis of comparison of the student's reported drinks per week to drinking rates from a survey of approximately 6000 students. Normative feedback: information about the role of alcohol in the cause and/or maintenance of depression was first presented, followed by the student's drinking rates and experienced alcohol‐related problems or consequences, including how these rates compared with other college students on campus. Perceptions of the normative drinking rates on campus were juxtaposed with actual drinking rates on campus. Finally, a general list of moderation tips was provided (e.g. spacing drinks, limit setting). Personalised feedback about depression symptoms and a depression tips brochure were also provided

Delivery: mailed feedback

Duration: N/A

Control group: students received thank you letter and a list of community resources

Outcomes

Perceived norms (Drinking Norms Rating Form; DNRF), DDQ, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA and the Stanley Foundation. No information about potential CoI

Notes

Intervention delivered as an adjunct to a brief treatment for college students with depression symptoms

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Determined by a computerized random number generator"

Allocation concealment (selection bias)

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (5%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Henslee 2009

Methods

Design: cluster RCT

Follow‐up: 5 weeks

Attrition: 52.3%

Participants

Age: mean = 18.11 years (SD = 0.40)

Sex: 36.6% males

Size: N = 14 classes and 216 students

Allocation: no information

Country: USA

Interventions

Intervention: personalised feedback lecture

Key components: information on estimated BAC on typical and peak drinking occasions, self‐reported negative consequences, weekly average number of standard drinks, amount of time and money allocated to alcohol. Strategies to reduce risky drinking behaviours. Normative feedback: personalised feedback about participant's alcohol use based on baseline, gender‐specific normative data

Delivery: group face‐to‐face

Duration: 50 minutes (standard lecture duration)

Control: alcohol information only

Outcomes

Binge drinking, AUDIT, RAPI

Funding and Declared Conflicts of Interest

No information

Notes

Significant differences between students who completed and those who did not complete follow‐up assessments. No adjustment for clustering effects

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 52.3% at follow‐up

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Juárez 2006

Methods

Design: RCT
Follow‐up: 2 months
Attrition: 27%

Participants

Age: 19.43 years
Sex: 52.5% female
Size: N = 56* high‐risk students in the trial arms included in this review

Allocation: no information
Country: USA

Interventions

I. Mailed feedback control
Intervention: modelled on Check‐Up to GO (CHUG)
Key components: personalised individual normative mailed feedback. Normative feedback: alcohol‐related consequences, level of risk for alcohol problems, reasons for drinking, peak BAC, dependence symptoms and perceived and actual prevalence of (gender‐specific) college drinking norms
Delivery: mailed feedback

Duration: N/A
Control group: no intervention given

II. Individual face‐to‐face feedback and MI or MI only
Intervention: modelled on MET‐MATCH
Key components: personalised individual normative face‐to face feedback. Normative feedback: alcohol‐related consequences, level of risk for alcohol problems, reasons for drinking, peak BAC, dependence symptoms and perceived and actual prevalence of (gender‐specific) college drinking norms
Delivery: individual face‐to‐face

Duration: from 30 minutes to 80 minutes
Control: MI only

Outcomes

Drinks per day, peak BAC, alcohol‐related problems

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

*Estimated from analysed sample and attrition rate

Risk of bias

Bias

Authors' judgement

Support for judgement

Incomplete outcome data (attrition bias)
All outcomes

High risk

Selective reporting (reporting bias)

Low risk

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Kypri 2004

Methods

Design: RCT
Follow‐up: 6 weeks, 6 months
Attrition: < 10%

Participants

Age: mean = 20.15 years
Sex: not given
Size: N = 104 hazardous/harmful drinkers

Allocation: 51 intervention and 53 control
Country: New Zealand

Interventions

Intervention: brief interventions
Key components: computerised assessment, feedback and advice. Normative feedback: summary of recent consumption, risk status, comparison of consumption with recommended upper limits, peak BAC, comparison of consumption with national and university norms and correction of norm misperception

Delivery: web feedback
Duration: no details
Control: alcohol advice leaflet given

Outcomes

Drinking frequency, typical occasion quantity, total volume, heavy episode frequency, alcohol problems scale (APS), academic role expectations and alcohol scale (AREAS)

Funding and Declared Conflicts of Interest

Funded by the Alcohol Advisory Council of New Zealand and the Health Research Council of New Zealand; no information on potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomization was effected by computer in blocks of 10"

Allocation concealment (selection bias)

Low risk

"Assigned randomly by computer"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition low (< 10%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blind to intervention. Personnel blind to intervention group

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Kypri 2005

Methods

Design: RCT
Follow‐up: 6 weeks
Attrition: 14%

Participants

Age: 17 to 24 years
Sex: 49% female
Size: N = 146 hazardous/harmful drinkers in the trial arms included in this review

Allocation: 72 intervention and 74 control
Country: New Zealand

Interventions

Intervention: brief interventions
Key components: computerised assessment, feedback and advice. Normative feedback: health authority recommendations, social norms and self‐comparison with percentage of same age and gender adhering to these recommendations
Delivery: web feedback

Duration: no details
Control: no intervention given

Outcomes

4‐week report of maximum number of drinks consumed in a single episode and the episode’s duration, peak BAC and binge‐drinker status

Funding and Declared Conflicts of Interest

Funded by the National Heart Foundation of New Zealand; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Computerized random number generator..."

Allocation concealment (selection bias)

Low risk

"Assigned randomly by computer"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition at 6 weeks (14%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blind to intervention. Personnel blind to intervention group

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Assessors blinded to intervention group

Kypri 2008

Methods

Design: RCT
Follow‐up: 6 months and 12 months
Attrition: 16.1%

Participants

Age: 20.1
Sex: 74.3% female, 51.98%
Size: N = 284 hazardous/harmful drinkers in the trial arms included in this review

Allocation: 138 intervention and 146 control
Country: New Zealand

Interventions

Intervention: brief interventions
Key components: computerised assessment, personalised feedback. Normative feedback: summary of recent consumption, risk status, comparison of consumption with recommended upper limits, peak BAC, comparison of consumption with national and university norms and correction of norm misperception
Delivery: web feedback

Duration:10 minutes to 15 minutes of intervention
Control: alcohol education leaflet given

Outcomes

(1) Frequency of drinking (number of drinking days in the preceding two weeks); (2) typical occasion quantity (standard drinks [10 g of alcohol] consumed per typical drinking occasion in the preceding four weeks); (3) total volume (standard drinks consumed in the preceding two weeks); (4) frequency of very heavy episodes (number of occasions in the preceding two weeks on which a threshold of 80 grams of alcohol for women or 120 grams of alcohol for men was breached); (5) personal, social, sexual and legal consequences of episodic heavy drinking (items endorsed on the Alcohol Problems Scale [score range, 0 to 14]); (6) consequences related to academic performance (score on the Academic Role Expectations and Alcohol Scale [score range, 0 to 35]); and (7) the AUDIT score at 12 months

Funding and Declared Conflicts of Interest

Funded by the Alcohol Advisory Council of New Zealand and the Health Research Council of New Zealand; study authors declare no conflicts

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Assigned randomly by computer"

Allocation concealment (selection bias)

Low risk

"Assigned randomly by computer"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (16%) at 12 months

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blind to intervention. Personnel blind to intervention group

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Outcome assessors blind to intervention group

Kypri 2009

Methods

Design: RCT

Follow‐up: 1 month and 6 months

Attrition: intervention: 23% at 1 month, 35% at 6 months; control: 20% at 1 month, 35% at 6 months

Participants

Age: 17 to 24 years, mean = 19.7 (SD = 1.8)

Sex: 45.1% women in intervention arm, 45.5% in control arm

Size: N = 2435 at baseline and N = 1578 at 6‐month follow‐up (hazardous or harmful drinkers)

Allocation: 1251 intervention and 1184 control

Country: Australia

Interventions

Intervention: motivational assessment and personalised feedback

Key components: reflection on AUDIT score, alcohol eduction, information on related risks and personalised feedback. Normative feedback: bar graphs comparing episodic and weekly consumption with that of other students of the same age and sex

Delivery: web‐based

Duration: not discussed

Control: assessment/screening only

Outcomes

Primary outcomes: frequency of drinking, number of standard drinks per typical occasion and average weekly volume. Secondary outcomes: APS score, AREAS score, prevalence of binge drinking and prevalence of heavy drinking

Funding and Declared Conflicts of Interest

Funded by Western Australian Health Promotion Foundation (Healthway); study authors declare no conflicts

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomly assigned by web server software

Allocation concealment (selection bias)

Low risk

Randomly assigned by web server software

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition rates 35% at 6 months

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blind to intervention. Personnel blind to intervention group

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Outcome assessors blind to intervention group

Kypri 2013

Methods

Design: RCT

Follow‐up: 5 months

Attrition: intervention: 22%; control: 20%

Participants

Age: 17 years to 24 years old

Sex: 65% female

Size: N = 1789

Allocation: 850 control and 939 intervention

Country: New Zealand, Maori students

Interventions

Intervention: personalised feedback

Key components: reflection on AUDIT score, alcohol eduction, information on related risks and personalised feedback. Intervention group received personalised feedback consisting of AUDIT and LDQ scores with explanation of associated health risk and information about how to reduce that risk; an estimated BAC for the heaviest episode in the previous four weeks, with information on behavioural and physiological sequelae of various BACs, and the risk of having a single vehicle traffic crash; estimates of monthly expenditure. Further web pages were presented as options, offering facts about alcohol, tips for reducing the risk of harm and details of where medical help and counselling could be found. Normative feedback: bar graphs comparing episodic and weekly consumption with those of other students of the same age and sex

Delivery: web‐based

Duration: not discussed

Control: assessment/screening only

Outcomes

Frequency of drinking, typical occasion quantity, volume consumed, consequences related to academic expectations, exceeded guidelines for binge drinking, exceeded guidelines for heavy drinking

Funding and Declared Conflicts of Interest

Research was funded by the Alcohol Advisory Council (now the Health Promotion Agency), a statutory body of the New Zealand Government. Study authors declare no conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Respondents who scored ≥ 4 were randomly assigned by the web server to the control group (screening only) or the intervention group

Allocation concealment (selection bias)

Low risk

Randomisation and all other study procedures were fully automated and could not be subverted

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall attrition rate at 5 months: 21%

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Computer‐based questionnaire

Kypri 2014

Methods

Design: RCT

Follow‐up: 5 months

Attrition: intervention: 16%; control: 17%

Participants

Age: 17 years to 24 years old

Sex: 57.4% female

Size: N = 2850

Allocation: 1437 intervention and 1413 control

Country: New Zealand

Interventions

Intervention: personalised feedback

Key components: reflection on AUDIT score, alcohol education, information on related risks and personalised feedback. Intervention group received personalised feedback consisting of AUDIT and LDQ scores with explanation of associated health risks and information on how to reduce that risk; estimated BAC for the heaviest episode in the previous four weeks, with information on behavioural and physiological sequelae of various BACs, and risk of having a single vehicle traffic crash; estimates of monthly expenditure. Further web pages were presented as options, offering facts about alcohol, tips for reducing the risk of harm and details on where medical help and counselling could be found. Normative feedback: bar graphs comparing episodic and weekly consumption with those of other students of the same age and sex

Delivery: web‐based

Duration: not discussed

Control: assessment/screening only

Outcomes

Frequency of drinking, typical occasion quantity, volume consumed, consequences related to academic expectations, exceeded guidelines for binge drinking, exceeded guidelines for heavy drinking

Funding and Declared Conflicts of Interest

Research was funded by the Alcohol Advisory Council (now the Health Promotion Agency), a statutory body of the New Zealand Government. Study authors declare no conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Respondents who scored ≥ 4 were randomly assigned by the web server to the control group (screening only) or the intervention group

Allocation concealment (selection bias)

Low risk

Randomisation and all other study procedures were fully automated and could not be subverted

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition rates at 5 months: 17%

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Computer‐based questionnaire

LaBrie 2013

Methods

Design: individual and RCT
Follow‐up: 1 month, 3 months and 6 months
Attrition: 1 month: 10.3%; 3 months: 16%; 6 months: 14.5%

Participants

Age: 18 years to 24 years of age

Sex: 56.7% female

Size: N = 2831

Allocation: 168 control and 1663 intervention

Country: USA

Interventions

Intervention: personalised feedback

Key components: PNF contained four pages of information in text and bar graph format. Separate graphs, each including three bars, were used to present information regarding the number of drinking days per week, average drinks per occasion and total average drinks per week for (1) one’s own drinking behaviour, (2) their reported perceptions of the reference group’s drinking behaviour on their respective campus, at the level of specificity defined by the assigned intervention condition and (3) actual college student drinking norms for the specified reference group. Actual norms were derived from large representative surveys conducted on each campus in the prior year as a formative step in the trial. Participants were also provided their percentile ranks and compared them with other students on their respective campus for the specified reference group (e.g. “Your percentile rank is 99%; this means that you drink as much or more than 99% of other college students on your campus”)

Delivery: web‐based

Duration: not discussed

Control: assessment only

Means of delivery: web

Outcomes

Alcohol consumption (DDQ); descriptive norms; alcohol‐related negative consequences

Funding and Declared Conflicts of Interest

No conflicts of interest. Data collection and manuscript preparation supported by National Institute on Alcohol Abuse and Alcoholism Grant R01AA012547‐06A2

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Web‐based algorithm

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

14.5% at 6‐month follow‐up

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

LaChance 2009

Methods

Design: cluster RCT (each cluster with 4 to 10 participants)

Follow‐up: immediate post‐test, 3 months and 6 months

Attrition: 20% attrition at 3‐month follow‐up, 24% attrition at 6 months (from baseline)

Participants

Age: mean = 18.6 years

Sex: 63% male

Size: N = 18 groups with 126 mandated participants

Allocation: 10 (68) intervention and 8 (58) control

Country: USA

Interventions

Intervention: Group Motivational Enhancement Therapy session (GMET)

Key components: during the feedback component of the GMET, students were provided personalised feedback handouts including their own self‐reported drinking patterns. Normative feedback: During feedback, students were provided personalised feedback handouts including their own self‐reported drinking patterns, quantity/frequency rates, BAC levels and other drug use, compared with national averages
Quantity‐frequency rates, BAC levels and other drug use compared with national averages

Delivery: group face‐to‐face

Duration: 1 to 2 3‐hour sessions

Control: Alcohol Information Group

Outcomes

Average drinks per drinking day, AUDIT, RAPI

Funding and Declared Conflicts of Interest

Funded by NIH; no information about potential CoI

Notes

The third arm in this study was not considered for the purpose of this review. Only the GMET (intervention) and AI groups were considered, with AI most similar to control arms from other included studies

'Unit of analysis' issues due to CRCT accounted for via multi‐level analysis

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation by the roll of a dice occurred after groups were scheduled, 24 hours before the

group

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 20% at 3 months, 24% at 6 months of follow‐up

Selective reporting (reporting bias)

Unclear risk

Nearly all outcomes were reported on (results for 1 measure of quantity were not provided in the publication)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Larimer 2001

Methods

Design: cluster RCT of 12 fraternities
Follow‐up: 12 months
Attrition: 25%

Participants

Age: 18.8
Sex: 59% female
Size: N = 12 fraternities and 159 students

Allocation: 6 (77) intervention and 6 (82) control
Country: USA

Interventions

Intervention: BASICS and MI
Key components: baseline assessment followed by individual feedback session

Delivery: face‐to‐face
Duration: 1 hour
Primary staff: undergraduate staff or a clinical psychologist (undergraduate, master's level)
Control group: 1 hour didactic presentation

Outcomes

Quantity, frequency, peak and typical BAC, RAPI, ADS

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Controlled for cluster effects by co‐variate adjustment; unclear how appropriate this is

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (25%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Lau‐Barraco 2008

Methods

Design: RCT

Follow‐up: 1 month

Attrition: 40.7%

Participants

Age: mean = 19.88 years (SD = 2.08)

Sex: 56.68% female

Size: N = 239 moderate to heavy drinkers

Allocation: no information

Country: USA

Interventions

Intervention: alcohol 101

Key components: normative feedback: to educate students about the effects of alcohol misused and what constitutes “normal” drinking among their peers

Delivery: group computer‐based (CD)

Duration: 90 minutes to 120 minutes

Control group: assessment only

Outcomes

Drinks per week, heavy episodic drinking

Funding and Declared Conflicts of Interest

Funded by NIAAA

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomised using an expected 2:1:1 assignment ratio, but no information about sequence generation method

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 40.7% at follow‐up

Selective reporting (reporting bias)

Low risk

All outcomes were reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Lewis 2007a

Methods

Design: RCT
Follow‐up: 3 months and 5 months
Attrition: 3 months: 6.1%; 5 months: 11%

Participants

Age: mean = 18.53 years
Sex: 52.24% female
Size: N = 185 high‐risk students

Allocation: no information

Country: USA

Interventions

Intervention: social norm intervention
Key components: web‐based survey in a controlled laboratory setting, personalised feedback, norms for typical student drinking behaviour. Normative feedback: personal drinking, perceptions of typical student drinking and actual typical student drinking. Percentile ranking comparing drinking with that of other students
Delivery: computer‐delivered brief PNF

Duration: 1 hour
Control: no intervention given

Outcomes

Drinks per week and drinking frequency (DDQ), alcohol consumption inventory (ACI), quantity‐frequency scale (QFS), drinking norms rating form (DNRF)

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not discussed in this study

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition at 5 months (11%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Lewis 2007b

Methods

Design: RCT
Follow‐up: 3 months and 12 months
Attrition: 15%

Participants

Age: mean = 18.53 years
Sex: 53.8% female
Size: N = 316 high‐risk students

Allocation: no information
Country: USA

Interventions

Intervention: PNF

Key components: normative feedback: personal drinking behaviour, personal perceptions of typical student drinking behaviour, information regarding actual norms for typical student drinking behaviour and their rank in comparison with other students

Delivery: computer‐based
Duration: no information
Control: no intervention given

Outcomes

Drinks per week and drinking frequency (DDQ), drinking norms rating form (DNRF)

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition at 5 months (15%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Lewis 2008

Methods

Design: RCT

Follow‐up: 1 week after 21st birthday

Attrition: intervention: 79.1%; control: 76.3%

Participants

Age: 20 years to 21 years

Sex: 35.3% male

Size: N = 281

Allocation: no information

Country: USA

Interventions

Intervention: 21st birthday‐specific PNF card

Key components: personalised normative feedback: feedback in the form of questions and answers that corrected students' misperceptions by providing actual normative data

Delivery: mailed

Duration: not discussed

Control: no intervention given

Outcomes

Hours spent drinking during 21st birthday celebrations, BAC, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

“Because baseline drinking was not assessed, it is unknown whether the two groups differed in terms of typical drinking behaviour”

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (79%)

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Lewis 2014

Methods

Design: RCT

Follow‐up: 3 months and 6 months

Attrition: 10% at 3 months, 14.7% at 6 months

Participants

Age: 18 to 25 years, mean = 19.90

Sex: 57.6% female

Size: N = 240 in trial arms included in this review

Allocation: intervention 119 and control 121

Country: USA

Interventions

Intervention: PNF

Key components: personalised normative feedback: feedback provided a percentile rank for comparison between participants’ reported drinking and that of their same‐sex peers

Delivery: web‐based

Duration: not discussed

Control: assessment only

Outcomes

Drinks per week; drinks per occasion; drinking frequency; alcohol‐related negative consequences; perceived drinks per week; perceived drinks per occasion; perceived drinking frequency

Funding and Declared Conflicts of Interest

Funding and declared conflicts of interest not stated

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“Random assignment was administered automatically using a computer algorithm and occurred in blocks of four to keep cell sizes equal”

Allocation concealment (selection bias)

Low risk

Web‐based

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition 14.7%

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Lovecchio 2010

Methods

Design: RCT

Follow‐up: 1 month

Attrition: intervention: 8.51%; control: 32.1%

Participants

Age: 83.6% were aged 18 years

Sex: 54.3% female.

Size: N = 1620 (1458 completed baseline)

Allocation: 810 intervention and 810 control

Country: USA

Interventions

Intervention: AlcoholEdu (2007 version)

Key components: 2007 AlcoholEdu course. Normative feedback: baseline survey of attitudes, behaviour and consequences; four content chapters, with customised pathways based on gender and reported drinking patterns; a course evaluation; a post‐intervention knowledge test; and a post‐intervention survey, similar to the baseline survey, which was completed four to six weeks after the course. Areas of focus include factors that cause blood alcohol concentration (BAC) to rise rapidly and associated consequences, benefits of abstaining from or reducing drinking, influences and correct norms information, legal information and strategies to reduce drinking

Delivery: web‐based

Duration: not discussed

Control: assessment only

Outcomes

Typical average number of drinks per occasion, total number of drinks in past two weeks, heavy episodic drinking in past two weeks

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 8.51% in intervention arm, 32.1% in control arm

Selective reporting (reporting bias)

Low risk

All outcomes were reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Marlatt 1998

Methods

Design: RCT
Follow‐up: 1 year and 2 years
Attrition: 14%

Participants

Age: not given
Sex: 54% female
Size: N = 348 high‐risk students

Allocation: no information
Country: USA

Interventions

Intervention: MI
Key components: motivational techniques and personalised summary feedback sheet given at the end. Normative feedback: individualised feedback about drinking patterns, risks and beliefs about alcohol effects. Students' self‐reported drinking rates were compared with college averages, and perceived risks for current and future problems were identified. Beliefs about alcohol effects on social behaviour were discussed
Delivery: feedback sheet, interview

Duration: no details
Control: no intervention given

Outcomes

Typical drinking quantity, frequency and single greatest amount of alcohol consumption (peak consumption) over the past month, DDQ, RAPI, ADS

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Computer generated...."

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (14%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Martens 2013

Methods

Design: individual and RCT
Follow‐up: 1 month and 6 months
Attrition: 4.9%, 6%

Participants

Age: mean = 20.10 years
Sex: 65% women

Ethnicity: 89% Caucasian
Size: N = 254 for trial arms included in this review

Allocation: PNF 121 and control 133
Country: USA

Interventions

Intervention: PNF
Key components: In the PNF condition, the facilitator began by orienting the participant to the purpose of the session, indicating that the goal of the intervention was to discuss how the participant’s own drinking and perception of typical drinking among other students compared with actual drinking norms. The facilitator then presented participants with a handout that specified two types of alcohol use measures (drinks per week and typical drinking days per week) for two different reference groups (college students nationwide and students at the university where the study was being conducted). For each feedback component, participants were provided the following information: (1) self‐reported alcohol use, (2) perceptions of alcohol use of the typical male student and the typical female student and (3) actual alcohol use of typical male and female students. Participants were also provided a percentile rank based on drinks per week. The components were covered in the following order: drinks per week for students nationwide, drinking days per week for students nationwide, drinks per week for students at the study institution and drinking days per week for students at the study institution
Delivery: face‐to‐face

Duration: 15 minutes to 20 minutes

Control: protective behavioural strategies feedback (PBSF). In the PBSF condition, the facilitator began the session by indicating that the overall goal was to discuss strategies that minimised harmful effects that could occur as the result of alcohol use

Outcomes

Average drinks per week, average number of drinking days per week, peak blood alcohol concentration (BAC), alcohol‐related problems, descriptive drinking norms

Funding and Declared Conflicts of Interest

No conflicts of interest declared. This project was supported by National Institutes of Health Grant R21AA016779

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Participants were randomly assigned, stratified by gender, via a random number table

Allocation concealment (selection bias)

Unclear risk

Insufficient information to allow a judgement

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (6%)

Selective reporting (reporting bias)

Low risk

All alcohol outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible to blind participants to intervention. Information insufficient for a judgement about blinding of interventionist

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Information insufficient to allow a judgement

McNally 2003

Methods

Design: cluster RCT
Follow‐up: 1 month
Attrition: not discussed

Participants

Age: mean = 18.99 years
Sex: 65% female
Size: N = 76

Allocation: no information
Country: USA

Interventions

Intervention: MI
Key components: group‐focused intervention through provision and discussion of normative and other alcohol information. Normative feedback: biphasic effect curve of alcohol, legal alcohol levels, definitions and statistical norms for episodic, heavy drinking, norms for general alcohol use among college students, tolerance, types of incidents of alcohol‐related problems. Students were repeatedly asked to recall their own responses to questionnaire items as they considered the information presented
Delivery: interview

Duration: 30‐minute assessment followed by 40‐minute group intervention; 20‐ to 30‐minute follow‐up session
Control: no intervention given

Outcomes

Quantity, binge and alcohol problems

Funding and Declared Conflicts of Interest

No information

Notes

No adjustment for clustering

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"...Randomization table"

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Attrition rate not stated

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Michael 2006

Methods

Design: cluster RCT
Follow‐up: 30 days to 45 days

Attrition: none

Participants

Age: mean = 18.35 years
Sex: 62.5% female
Size: N = 14 classes and 91 students

Allocation: intervention 7 (47) and control 7 (44)
Country: USA

Interventions

Intervention: MI counselling style
Key components: decisional balance activity, discussion of perceived college student drinking in relation to normative data
Delivery: brief group intervention. Normative feedback: perceptions of alcohol use, misperceptions of college‐wide and nation‐wide misperceptions about drinking, biological risk factors (e.g. tolerance)

Duration: 2 x 50‐minute and 1 x 75 minute MI sessions
Control: no intervention given

Outcomes

30‐day drinking frequency, 30‐day drunkenness, 14‐day drinking diary, RAPI

Funding and Declared Conflicts of Interest

No information

Notes

Randomly assigned by classes, no adjustment for clustering

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Moore 2013

Methods

Design: cluster RCT
Follow‐up: 3 months
Attrition: N/A: post test only via survey of all students

Participants

Age: median = 19 years
Sex: female 60.8%
Size: N = 43 clusters (554 students) responded to the survey (response rate 14.6% of students)

Allocation: intervention 261 and control 293 (students responded to the survey)
Country: UK

Interventions

Intervention: social norms marketing campaign

Components: social norm message was given by posters, drinks mats, glasses. Normative information: the intervention is a social norm marketing campaign to correct misperceptions regarding behaviours and social expectations of peers among first year students

Delivery: marketing materials

Duration: materials distributed in September 2011 and January 2012. Follow‐up survey was given in February 2012

Control: assessment only.

Outcomes

Units/wk; AUDIT‐C; risky drinking status; perceived norms

Funding and Declared Conflicts of Interest

This work was supported by an Alcohol Research UK grant funded by the
Drinkaware Trust (grant reference CR 11/12 07 DA). Study authors declare no conflict of Interest

Notes

Post‐test only design. Moore reported adequate adjustment for clustering.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number

Allocation concealment (selection bias)

Low risk

Blinded remote allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Post‐test survey responses only

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not feasible for participants and personnel

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Computer‐based survey

Moreira 2012

Methods

Design: RCT

Follow‐up: 6 months and 12 months

Attrition: 49% at 6 months, 60% at 12 months

Participants

Age: majority 17 years to 24 years, 6% over 25 years

Sex: 61.5% female

Size: N = 1751

Allocation: 872 intervention and 879 control

Country: UK

Interventions

Intervention: brief personalised normative feedback

Key components: social normative feedback and general information on alcohol use and effects. Normative feedback: results of drinking behaviour assessment compared with average levels of drinking amongst student peer group

Delivery: web‐based

Duration: N/A

Control: assessment only

Outcomes

Frequency, quantity, binge drinking, AUDIT, alcohol‐related problems, drinking norms

Funding and Declared Conflicts of Interest

Funded by a fellowship from the Portuguese Foundation for Science and Technology, and by Alcohol Research UK and the European Foundation for Alcohol Research. One study author declared that his Department has received funding from the alcohol industry for prevention projects, and that he is a Trustee of the alcohol‐industry–funded Drinkaware Trust

Notes

Unpublished data

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Computer generated random numbers"

Allocation concealment (selection bias)

Low risk

"Concealed centrally‐allocated computer generated random numbers"

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition = 49% at 6 months and 60% at 12 months

Selective reporting (reporting bias)

Low risk

All outcomes were reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based anonymous administration

Murphy 2001

Methods

Design: RCT
Follow‐up: 3 months and 9 months
Attrition: 15%

Participants

Age: mean = 19.60 years
Sex: 54% female
Size: N = 99 heavy drinkers

Allocation: no information
Country: USA

Interventions

Intervention: based on BASICS
Key components: individual MI, PNF. Normative feedback: student drinking patterns relative to normative college student drinking, BACs, alcohol‐related problems and risk factors (e.g. family history of alcoholism)
Delivery: individual BMI

Duration: 50 minutes
Control: AE session

Outcomes

Drinks per week, frequency of binge drinking

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (15%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Neal 2004

Methods

Design: RCT
Follow‐up: 1 week

Attrition: none

Participants

Age: not given
Sex: 51% female
Size: N = 61 at‐risk students in the trial arms included in this review

Allocation: 31 intervention and 30 control
Country: USA

Interventions

Intervention: social norms intervention
Key components: individual feedback, normative comparison data, nature and frequency of alcohol‐related problems
Delivery: PNF: individual face‐to‐face

Duration: 45 minutes session I; 40 minutes session II
Control: personal striving assessment

Outcomes

Drinking days, total drinks, binge episodes, peak consumption, drinks/drinking day

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information on potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not discussed in this study

Neighbors 2004

Methods

Design: RCT
Follow‐up: 3 months and 6 months
Attrition: 18% at 6 months

Participants

Age: not given
Sex: 59% female
Size: N = 252 heavy drinkers

Allocation: 126 intervention and 126 control
Country: USA

Interventions

Intervention: brief intervention
Key components: computerised assessment, personalised feedback
Delivery: web feedback

Duration: n/a
Control group: no intervention given

Outcomes

Alcohol consumption index (ACI), peak quantity, typical drinking (DDQ), RAPI, drinking norms rating form

Funding and Declared Conflicts of Interest

Funded by NIAAA and Alcohol and Drug Abuse Institute at the University of Washington; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (18%) and analysis of missing data showed no differential attrition effect

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Neighbors 2006

Methods

Design: RCT
Follow‐up: 2 months
Attrition: 14%

Participants

Age: mean = 19.67 years
Sex: 119 women
Size: N = 214 high‐risk students

Allocation: 108 intervention and 106 control
Country: USA

Interventions

Intervention: modelled on BASICS
Key components: baseline assessment followed by personalised normative feedback delivered by computer
Delivery: web feedback intervention

Duration: no details
Control: no intervention

Outcomes

DDQ, RAPI, DNRF

Funding and Declared Conflicts of Interest

Funded by NIAAA and North Dakota State University; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition at 6 months (14%)

Selective reporting (reporting bias)

Low risk

All data reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Neighbors 2009

Methods

Design: RCT

Follow‐up: approximately 1 week after 21st birthday

Attrition: 14.9%

Participants

Age: 20 years to 21 years

Sex: 41.9% males

Size: N = 295 drinkers

Allocation: 150 intervention and 145 control

Country: USA

Interventions

Intervention: web‐based personalised feedback

Key components: normative information, protective behaviours and personalised BAC information. Normative feedback: feedback about intended number of drinks on 21st birthday, resulting intended BAC and effects of alcohol at varying BACs. Participants were provided a printable personalised BAC chart based on gender and weight. In addition, participants received graphic feedback regarding perceived and actual descriptive norms (in this case 6.80 drinks) for drinking on 21st birthdays

Delivery: web‐based

Duration: feedback document was nine pages long

Control: assessment only control group

Outcomes

21st birthday drinking, BAC, weekly drinking

Funding and Declared Conflicts of Interest

Funded by NIAAA and Alcohol and Drug Abuse Institute at the University of Washington; no information about potential CoI

Notes

Uses intentional estimates as baseline data—validity of this approach unclear

The study measured typical weekly drinking, but no data on follow‐up for this outcome were reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomisation using URN procedure

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition = 14.9%

Selective reporting (reporting bias)

Unclear risk

Nearly all outcomes were reported on (weekly drinking follow‐up results were not presented)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants was not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Neighbors 2010

Methods

Design: RCT

Follow‐up: 6 months, 12 months, 18 months, 24 months

Attrition: 7.70% at 6 months, 13.44% at 12 months, 16.13% at 18 months, 18.70% at 24 months

Participants

Age: mean = 18.16 years (SD = 0.6)

Sex: 57.58% female

Size: N = 818 (5 arms) heavy‐drinking students

Allocation: 654 intervention* and 164 control

Country: USA

Interventions

Intervention: factorial design with four active interventions: gender‐specific vs gender–non‐specific feedback; single vs multiple feedback points

Key components: information regarding one’s own drinking behaviour, one’s perception of other average same‐sex students’ drinking behaviour on the participating campus and other actual average same‐sex students' drinking behaviour. Normative feedback: derived from BASICS, the feedback consisted of information regarding (1) one's own drinking behaviour, (2) one's perceptions of other students' drinking behaviour on the participating campus and (3) other students' self‐reported drinking behaviour in text and bar graph formats

Delivery: web‐based

Duration: 50 minutes

Control: no intervention

Outcomes

Typical weekly drinking, heavy episodic drinking, RAPI, drinking norms ratings form

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

*A complex factorial design with five arms involving gender‐specific and non–gender‐specific feedback and single vs multiple feedback points. No systematic and clear differences were found across intervention groups, so these results were pooled for comparison with control in the MA

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Random assignment was administered automatically using a computer algorithm and occurred in blocks of five to keep cell sizes equal"

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (19%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Web‐based anonymous survey administration

Neighbors 2011

Methods

Design: individual and RCT

Follow‐up period: 3 months and 6 months

Attrition: 11.9%

Participants

Age: mean ˜18.7 years

Sex: 76% males

Size: N = 423

Allocation: PNF (N = 141); SNMA (N = 142); control (N = 140)

Country: USA

Interventions

Intervention: emailed personalised feedback; emailed generic feedback

Key components: PNF was presented in text and bar graph formats and consisted of three elements: (1) one’s own drinking behaviour, (2) one’s perceptions of other students’ drinking behaviour and (3) other students’ actual drinking behaviour

Delivery: web‐based

Duration: no details

Control: attention control (no alternative intervention, i.e. assessment only)

Outcomes

Self‐reported alcohol use (DDQ); AUDIT score; alcohol‐related consequences

Funding and Declared Conflicts of Interest

No conflict of interest stated. Research was supported by National Institute on Alcohol Abuse and Alcoholism Grant R01AA014576

Notes

Insufficient information presented in Results for inclusion in MA; study author contacted for additional details

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer algorithm with block randomisation

Allocation concealment (selection bias)

Unclear risk

Insufficient information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition 11.9%

Selective reporting (reporting bias)

High risk

Only consumption measures analysed and reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Paricipants not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Insufficient information

Palfai 2011

Methods

Design: RCT

Follow‐up: 1 month

Attrition: not discussed

Participants

Age: mean = 18.6 years (SD = 1.45)

Sex: 60% female

Size: N = 119

Allocation: no information

Country: USA

Interventions

Intervention: personalised normative feedback

Key components: personalised feedback, normative data, information on costs, calories and peak BAC associated with heavy drinking episodes. Normative feedback: norms of total consumption and heavy drinking episodes that were university‐ and gender‐specific, norms about low‐frequency alcohol‐related consequences (< 40%), which were personalised by highlighting specific consequences identified by each student

Delivery: not discussed

Duration: not discussed

Control: assessment only, provided with information on health guidelines for sleep and consumption of fruits and vegetables

Outcomes

Drinking quantity and heavy drinking episodes (DDQ), Young Adult Alcohol Problems Screening Test‐36

Funding and Declared Conflicts of Interest

Funded by NIAAA; study authors declared no conflict of interest

Notes

Study authors contacted for more detailed delivery and results information before inclusion in MA

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Attrition not reported

Selective reporting (reporting bias)

High risk

Not all outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Paschall 2011

Methods

Design: cluster RCT

Follow‐up: 6 months and 12 months

Attrition: 6% universities lost to follow‐up, evenly distributed between intervention and control

Participants

Age: mean = 18.7 years

Sex: 55% female

Size: N = 32 universities

Allocation: 16 intervention and 16 control

Country: USA

Interventions

Intervention: AlcoholEdu

Key components: course content includes defining a standard drink, physiological effects of alcohol, the need to monitor blood alcohol level, social influences on alcohol use, alcohol laws, personalised normative feedback and alcohol harm reduction strategies. Students had to pass an exam after Part I to advance to Part II

Delivery: web‐based

Duration: 2 hours to 3 hours

Control: no intervention

Outcomes

Past‐30‐day alcohol use, average number of drinks per occasion
and binge drinking

Funding and Declared Conflicts of Interest

Funded by NIAAA. CoI statement: "No financial disclosures were reported by the authors of this paper"

Notes

Clustering accounted for in multi‐level analysis

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and interventionists not blind to study condition

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Patrick 2014

Methods

Design: RCT

Follow‐up: two weeks (post spring break)

Attrition: N/A

Participants

Age: mean = aged 18‐21 years

Sex: 55% female

Size: N = 271 individuals

Allocation: N/A

Country: USA

Interventions

Intervention: Spring Break web‐based normative feedback

Key components: computerised, internet‐based feedback was generated by a process during which (1) Wave 1 baseline surveys gathered information about respondents; (2) a computer programme linked the data with algorithms used to select appropriate feedback messages based on individual baseline responses; and (3) the programme rendered messages into a specific format and generated individualised web pages based on baseline responses and decision‐making rules for appropriate feedback

Delivery: web‐based

Duration: N/A

Control: no intervention, assessment only

Outcomes

Brief time‐line follow‐back and alcohol‐related consequences

Funding and Declared Conflicts of Interest

Funded by NIAAA. No CoI statement

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not reported

Selective reporting (reporting bias)

Unclear risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for this intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Pederson 2012

Methods

Design: RCT

Follow‐up: not clear

Attrition: 17% at final follow‐up

Participants

Age: mean = 21.14 years (SD = 3.11)

Sex: 78% female

Size: 343 randomly assigned

Allocation: not clear

Country: USA students studying abroad

Interventions

Intervention: PNF with reference to country‐specific norms for study‐abroad students

Key components: PNF contained two sets of three descriptive items accompanied by a figure: (1a) the number of drinks per week the individual intended to drink while abroad, (2a) the number of drinks per week that the individual perceived the typical student studying abroad in their host region drank and (3a) the number of drinks per week a typical student studying abroad in their host region actually drank. The second set of descriptive items focused on average drinks per occasion: (1b) the average number of drinks per occasion the individual intended to drink while abroad, (2b) the average number of drinks per occasion that the individual perceived the typical student studying abroad in their host region drank and (3b) the average number of drinks per occasion a typical student studying abroad in the host region actually drank

Delivery: online

Duration: not stated

Control: assessment only

Outcomes

Past month consumption (DDQ); alcohol‐related unintended consequences (RAPI); perceived peer norms

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Electronic randomisation

Allocation concealment (selection bias)

Low risk

Computer‐based allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

17% attrition

Selective reporting (reporting bias)

Unclear risk

Not clear from paper

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Ridout 2014

Methods

Design: RCT

Follow‐up: 1 month and 3 months

Attrition: 3%

Participants

Age: mean = 19.05 years (SD = 1.78)

Sex: 78% female

Size: N = 95 high‐risk drinkers

Allocation: 47 intervention and 48 control

Country: Australia

Interventions

Intervention: brief intervention

Key components: both injunctive and descriptive norms calculated from classmates' survey questionnaire responses

Means of delivery: Facebook private message

Duration: brief feedback

Control group: no intervention

Outcomes

Q/F measure; AUDIT questionnaire

Funding and Declared Conflicts of Interest

Funded by DBH PhD scholarship; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number sequence in Excel

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition 3%

Selective reporting (reporting bias)

Low risk

All outcomes were reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Schaus 2009

Methods

Design: RCT

Follow‐up: 3 months, 6 months, 9 months and 12 months

Attrition: 24% at 3 months, 42% at 6 months, 41% at 9 months, 35% at 12 months' follow‐up

Participants

Age: mean = 20.6 years (SD = 2.7)

Sex: 52% female

Size: N = 363 high‐risk drinkers

Allocation: 181 intervention and 182 control

Country: USA

Interventions

Intervention: brief intervention

Key components: motivational feedback, personalised normative feedback, alcohol education and advice, reflection on own drinking. Normative feedback: summarising, participant’s healthy lifestyle questionnaire responses; alcohol‐related harms, alcohol expectancies; tolerance; use of protective behaviours, readiness‐to‐change, quantity and frequency of alcohol consumption, instructions on estimation of BAC using a BAC card and norms clarification by comparison of personal alcohol consumption with peer alcohol consumption

Means of delivery: face‐to‐face

Duration: two 20‐minute BMI sessions, two weeks apart

Control group: alcohol information leaflet

Outcomes

30‐day drinking, typical estimated BAC, peak BAC, RAPI, drinker inventory of consequences‐21 (DIC‐21)

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block Randomisation in SPSS v15, order of interventions varied randomly with each block. Randomisation stratified by gender

Allocation concealment (selection bias)

Low risk

The group assignment was placed into a sealed envelope

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition 24%, 42%, 41% and 35% at respective FUs

Selective reporting (reporting bias)

Low risk

All outcomes were reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible in the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Simão 2008

Methods

Design: RCT

Follow‐up: 12 months and 24 months

Attrition: 1.1% at 12 months, 18.8% at 24 months (higher attrition in intervention group)

Participants

Age: 18 years or older, mean = 19.6, SD = 1.8

Sex: 56% male

Size: N = 266 risky drinkers

Allocation: 145 intervention and 121 control

Country: Brazil

Interventions

Intervention: BASICS

Key components: personalised normative feedback: comparison of consumption to clarify normal, alcohol‐related problems identified and beliefs addressed, fact sheet based on individual gender and weight distributed

Delivery: web‐based

Duration: 45 minutes to 60 minutes

Control: assessment only

Outcomes

Frequency and quantity of drinking, peak drinking, AUDIT, RAPI, brief drinker profile (BDP), alcohol dependency scale (ADS)

Funding and Declared Conflicts of Interest

Funded by Fundaciao de Amparo `a Pesquisa do Estado de S˜ao Paulo (FAPESP); no information about potential CoI

Notes

Multi‐variate analyses of variance for six variables at baseline showed a significant difference between treatment group and control group (P value 0.0014)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition: intervention: 29.7% at 24 months, control: 9.3% at 24 months

Selective reporting (reporting bias)

Low risk

All outcomes reported on

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Terlecki 2010 Mandated

Methods

Design: RCT

Follow‐up: 4 weeks after intervention (6 weeks from baseline for control)

Attrition: 17.6%

Participants

Age: 18 years to 24 years

Sex: 62% male (across voluntary and mandated students)

Size: N = 43 mandated students

Allocation: 19 intervention and 24 control

Country: USA

Interventions

Intervention: BASICS to mandated students

Key components: personalised feedback and normative information and comparison. Normative feedback: personalised graphic feedback created on the basis of information collected during the assessment interview. Normative comparison of typical patterns of alcohol use and perceived norms, personalised review of drinking consequences, own weekly consumption and percentile rank in comparison with campus norms. Along with generic alcohol information and information on its effects

Delivery: web‐based

Duration: 50 minutes

Primary staff: N/A

Control group: assessment only (2 groups: 1 for mandated intervention and 1 for voluntary intervention)

Outcomes

Quantity/frequency/peak drinking (DDQ), AUDIT, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAA. no information about potential conflicts

Notes

Baseline analysis revealed significant demographic differences between study groups on sex (P value < 0.00) where mandated students were significantly more likely to be males relative to their voluntary high‐risk peers

Interaction between treatment condition and referral status was significant for measures of typical consumption. Baseline scores on drinking outcomes were used as co‐variates in the primary analysis to account for baseline differences

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly assigned, but unclear how

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (18%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Terlecki 2010 Voluntary

Methods

Design: RCT

Follow‐up: 4 weeks after intervention (6 weeks from baseline for control)

Attrition: 17.6%

Participants

Age: 18 years to 24 years

Sex: 62% male (across voluntary and mandated students)

Size: N = 41 voluntary students

Allocation: 21 intervention and 20 control

Country: USA

Interventions

Intervention: BASICS to voluntary students

Key components: personalised feedback and normative information and comparison. Normative feedback: personalised graphic feedback created on the basis of information collected during the assessment interview. Normative comparison of typical patterns of alcohol use and perceived norms, personalised review of drinking consequences, own weekly consumption and percentile rank in comparison with campus norms. Along with generic alcohol information and information on its effects

Delivery: web‐based

Duration: 50 minutes

Primary staff: N/A

Control group: assessment only (2 groups: 1 for mandated intervention and 1 for voluntary intervention)

Outcomes

Quantity/frequency/peak drinking (DDQ), AUDIT, RAPI

Funding and Declared Conflicts of Interest

Funded by NIAAAl no information about potential conflicts

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly assigned, but unclear how

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (18%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Turrisi 2009

Methods

Design: RCT

Follow‐up: 10 months

Attrition: 14.5% at follow‐up

Participants

Age: mean = 17.92 years (SD = 0.39)

Sex: 44.4% males

Size: N = 617 high‐risk students in trial arms included in this review

Allocation: 277 intervention and 340 control

Country: USA

Interventions

Intervention: BASICS only

Key components: personalised feedback. Normative feedback: actual and descriptive norms for drinking, its consequences, alcohol caloric consumption (based on reported typical drinking), personalised wallet‐sized BAC card, perceived and descriptive norms and general information

Delivery: face‐to‐face, mailed

Duration: 45 minutes to 60 minutes for the BASICS‐only intervention

Control: assessment only

Outcomes

Peak BAC, typical weekly drinking (DDQ), RAPI, descriptive norms

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computerised algorithm

Allocation concealment (selection bias)

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (14.5%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Walters 2000

Methods

Design: RCT
Follow‐up: 6 weeks
Attrition: 14%

Participants

Age: mean = 19.7 years
Sex: 40% female
Size: N = 43 heavy drinkers

Allocation: no information
Country: USA

Interventions

Intervention: based on Drinker's Check‐Up
Key components: baseline assessment followed by personalised normative feedback delivered by mail, peer norms, severity of drinking problems
Delivery: mailed feedback intervention, motivational approach

Duration: N/A
Control: no intervention given

Outcomes

Q/F Index, SIP, AUDIT, CHUG, BAC, norms

Funding and Declared Conflicts of Interest

No information

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (14%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Walters 2007

Methods

Design: RCT
Follow‐up: 8 weeks and 16 weeks
Attrition: 28.3% at 8 weeks, 22.6% at 16 weeks

Participants

Age: not given
Sex: 48.1% female
Size: N = 106 heavy drinkers

Allocation: no information
Country: USA

Interventions

Intervention: based on Drinker's Check‐Up
Key components: baseline assessment followed by personalised normative feedback, peer norms, severity of drinking problems
Delivery: web feedback intervention

Duration: N/A
Control: no intervention given

Outcomes

7‐day drinking diary; peak BAC; RAPI; norms

Funding and Declared Conflicts of Interest

Funded by PRIME grant from the University of Texas School of Public Health; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not discussed in the study

Incomplete outcome data (attrition bias)
All outcomes

High risk

Moderate attrition at 16 weeks (22.6%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Walters 2009a

Methods

Design: RCT

Follow‐up: 3 months and 6 months

Attrition: 10.4% at 3 months, 13.6% at 6 months

Participants

Age: mean = 19.8 years

Sex: 64.2% female

Size: N = 136 heavy drinkers in trial arms included in this review

Allocation: 67 intervention and 69 control

Country: USA

Interventions

Intervention: feedback only (FBO) and MI with feedback (MIF) arms

Key components: feedback only arm: summary of drinking behaviour, compared with US campus and adult norms. Risk levels and estimated amount (USD) and income (%) spent. Normative feedback: Feedback included (1) a quantity‐frequency summary of drinking behaviour (e.g. standard drinks consumed in the last 30 days, estimated peak BAC, caloric intake), (2) comparison with US adult and campus norms, (3) level of risk (e.g. AUDIT score, tolerance, estimated genetic risk), (4) estimated dollar amount and percentage of income spent on alcohol and (5) local referral resources
Delivery: web‐based (FBO) or individual face‐to‐face (MIF)

Duration: FBO arm: not discussed; MIF arm: mean length of 50.09 minutes

Control: assessment only

Outcomes

7‐day drinking diary, peak BAC, RAPI, AUDIT

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Insufficient information to permit judgement

Allocation concealment (selection bias)

Low risk

Participants and investigators enrolling participants could not foresee assignment because of central allocation by computer

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (10.4%). Intention‐to‐treat analysis performed

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and counsellors were not blind to the group assignment

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Insufficient information to permit judgement

Werch 2000

Methods

Design: RCT
Follow‐up: 1 month
Attrition: 18%

Participants

Age: not given
Sex: 64% female
Size: N = 634 heavy drinkers

Allocation: 317 intervention and 317 control
Country: USA

Interventions

Intervention: social norms campaign
Key components: observational learning and prevention messages targeting social norms
Delivery: brief card marketing campaign

Duration: 20 minutes
Control: AE session

Outcomes

Frequency, quantity, binge, drunkenness, condom use, consequences of drinking, stages of initiating drinking

Funding and Declared Conflicts of Interest

Funded by US Department of Education and Brooks Health Foundation; no information about potential CoI

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (18%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessor not specified

Wilke 2014

Methods

Design: Cluster RCT, by fraternity / sorority house

Follow‐up: 3 months

Attrition: 80% (data cleaning led to removal of substantial number of respondents reporting high levels of consumption, with more removed from the intervention group)

Participants

Age: 20 years on average

Sex: 39% of sample from fraternity houses

Size: N = 4 houses and N = 991 individuals

Allocation: N = 442 individuals in the intervention N = 549 individuals in the control (unclear re: group allocation)

Country: USA

Interventions

Intervention: personalised normative feedback
Key components: comparison of drinking with campus norms, within a motivational interview
Delivery: face‐to‐face

Duration: 10 minutes to 15 minutes
Control: existing alcohol awareness programming on campus, which includes a social norms marketing campaign and required risk management educational programmes on high‐risk drinking and related consequences

Outcomes

Estimated blood alcohol concentration and alcohol problems

Funding and Declared Conflicts of Interest

Funded by Social Sciences Program Enhancement Grant from the Florida State University (FSU) Council on Research and Creativity. No information or declarations about potential conflicts of interest

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

High attrition (80%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants unblinded. No information about blinding of MI counsellors

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Wood 2007

Methods

Design: RCT
Follow‐up: 1 month, 3 months and 6 months
Attrition: not discussed

Participants

Age: 20 years to 24 years
Sex: 52.5% female
Size: N = 335

Allocation: no information
Country: USA

Interventions

Programme type: BMI
Key components: a personalised feedback report, generated from student's responses on the baseline assessment, was presented to guide the discussion, which focused on normative information, alcohol‐related consequences and risk factors such as family history of alcoholism (as appropriate). Average weekly calories consumed from alcohol and money spent on alcohol per semester were also included in the feedback report
Delivery: individual face‐to‐face

Duration: 45 minutes to 60 minutes

Control group: no intervention given

Outcomes

Q‐F, heavy drinking and problems from 36‐item Young Adult Alcohol Problems Screening Test (YAAPST)

Funding and Declared Conflicts of Interest

Funded by NIAAA; no information about potential CoI

Notes

Insufficient details for MA; study authors contacted for mean scores and SDs for outcomes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Attrition not described

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Wood 2010

Methods

Design: RCT

Follow‐up: 10 months and 22 months

Attrition: 9.2% at 10 months, 16% at 22 months.

Participants

Age: mean age = 18.4 years (SD = 0.41)

Sex: 57% female (N = 580)

Size: N = 509 parent/student dyads in trial arms included in this review

Allocation: 253 intervention and 256 control

Country: USA

Interventions

Intervention: BMI (BASICS) and booster session

Key components: personalised normative feedback. Normative feedback: individualised feedback used to guide BMI sessions. Feedback on alcohol use, consequences, socio‐environmental influences, personal drinking patterns, HED, BAC, alcohol expectancies, peer and environmental influences on alcohol use, drinking norms. Self‐regulation and harm‐reduction strategies were discussed

Delivery: individual face‐to‐face

Duration: 45 minutes to 60 minutes, booster session of 20 minutes to 30 minutes

Control group: assessment only

Outcomes

Heavy episodic drinking, drinking frequency and quantity from 17‐item version of the Young Adult Alcohol Problems Screening Test

Funding and Declared Conflicts of Interest

No information

Notes

SEM model results reported—not in right format for MA. Study authors contacted

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Urn randomization by computer algorithm"

Allocation concealment (selection bias)

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low attrition (16%)

Selective reporting (reporting bias)

Low risk

All outcomes reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding of participants and personnel not possible for the intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Interviewers were blind to experimental condition

Abbreviations:

ACI: alcohol consumption inventory.

ADS: alcohol dependency scale.

ADU: alcohol and drug use.

AE: alcohol education.

AI: alcohol information.

APS: alcohol problems scale.

AREAS: academic role expectations and alcohol scale.

AUDIT: alcohol use disorders identification scale.

BAC: blood alcohol concentration.

BAL: blood alcohol level.

BASICS: brief alcohol screening and intervention of college students.

BDP: brief drinker profile.

BMI: brief motivational interview.

CAGE: Cut‐down; Annoyed; Guilty; Eye‐opener

CHUG: Check‐Up To Go

CoI: conflict of interest.

CRCT: Cluster Randomized Contriolled Trial.

DDQ: daily drinking questionnaire.

DIC‐21: drinker inventory of consequences.

DNRF: drinking norms rating form

e‐CHUG: Electronic‐Check Up To Go

e‐SBI: email‐based Internet alcohol intervention.

FU: follow‐up.

GMET: group motivational enhancement therapy.

IDS: inventory of drinking situations.

ITT: intention‐to‐treat.

LDQ: Leeds Dependence Questionnaire.

MA: Meta‐Analysis.

MET‐MATCH: Motivational Enhancement Therapy, Project MATCH.

MI: motivational interview.

NIAAA: National Institute on Alcohol Abuse and Alcoholism.

PBSF: protective behavioural strategies feedback.

PNF: personalised normative feedback.

QFS: quantity‐frequency scale.

RAPI: Rutgers Alcohol Problem Index.

RCT: randomised controlled trial.

RDD: retrospective drinking diary.

SAU: services as usual.

SD: standard deviation.

SEM: Structural Equation Modelling.

SNMA: Social Norms Marketing Approach.

SPSS: Statistical Package for the Social Sciences.

UAP: university assistance programme.

YAAPST: young adult alcohol problems screening test.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Abbey 2009

Have not evaluated social norms interventions/any interventions but made suggestions for their use

Agostinelli 1995

Marked differences at baseline between intervention and control groups in number of variables, indicating failed randomisation

Andersson 2009

Does not evaluate reduction in misuse or misperceptions after intervention, rather describes drinking misuse patterns and misperceptions

Baer 1992

No social norms intervention

Barnett 1996

Process of randomisation failed

Barnett 2007

Both groups received a social norms intervention

Bendtsen 2006

Not an RCT

Bertholet 2011

Not an RCT

Borsari 2009

Not an RCT

Bush 2013

No control condition

Bustamante 2009

Not an RCT

Capone 2009

Does not appear to evaluate use of SN intervention vs control but instead the association of factors such as ‘readiness to change,’ ‘need for change’ and ‘impulsivity/sensation‐seeking (IMPSS)’ with effect of SN intervention

Carey 2009

Both arms in the RCT received some sort of social norms feedback

Cimini 2009

No appropriate control group. All three arms of the study included a social norms component

Collins 2005

No alcohol outcomes

Collins 2009

Not an RCT

Collins 2010

Seems not to be evaluating the effectiveness of social norms intervention but instead the predictability of the ‘readiness to change questionnaire’

Coronges 2009

Not university students

Cronce 2010

Not an RCT

Cunningham 2008

Protocol only

Cunningham 2013

Insufficient follow‐up

Curtin 2001

Feedback group without a social norms intervention

Dimeff 2000

Not a true randomisation. Students were asked if they wanted the intervention

Doumas 2008b

No university students

Doumas 2011

Comparison between two social norms interventions, no appropriate control group for this review

Ehlert 2010

Not alcohol related

Epstein 2008

Not university students, no social norms intervention

Fleming 2010

No social norms intervention

Frone 2010

Not an RCT, no university students, no social norms intervention

Genannt 2008

Not alcohol‐related

Ghandour 2009

Not an RCT, no social norms intervention

Graham 2004

Not an RCT

Granfield 2002

Not an RCT

Granfield 2005

Not an RCT

Gregory 2001

All three groups received a social norms intervention that was included in the skills workbook

Grossbard 2010

No alcohol‐related outcomes. Evaluates secondary effects of alcohol intervention on illicit drug use

Hallett 2009

Does not evaluate the intervention, rather the development of one

Hanewinkel 2005

Not an RCT

Huchting 2008

Not an RCT

Hustad 2009

Both study arms contained a social norms component

Jacobs‐Priebe 2008

Not alcohol‐related

Kearney 2013

Not an RCT

Kerksiek 2008

Not an RCT, not a social norms intervention

Kwan 2010

Not university students

Kypri 2003

No social norms relevant outcomes

Kypri 2007

No normative feedback group

LaBrie 2007

Not an RCT

LaBrie 2008

Both study arms had social norms component, hence no appropriate control group

LaBrie 2009

Not an RCT

LaBrie 2010a

Not an RCT

LaBrie 2010b

Not alcohol‐related

Larimer 2007

Social norms media campaign on campus at same time as the RCT, indicates contamination of the control group

Larimer 2009

Not an RCT

Lysaught 2004

No between‐group analysis results reported, no alcohol outcomes measures available

Mallett 2010

Duplicate study (Larimer 2009)

Maney 2002

Not an RCT

Martens 2007

Not an RCT

Mastroleo 2010

Does not evaluate social norms intervention but instead the use of supervision post training in peer counselling groups

McCambridge 2008a

Not a social norms intervention

McCambridge 2008b

Not alcohol‐related

Moreira 2008

Not an RCT: review article

Murphy 2004

Both groups received a social norms intervention

Murphy 2005

Both groups received a social norms intervention

Murphy 2012

Protocol only

Nye 1997

No alcohol or social norms outcomes reported

Prince 2010

Does not evaluate the intervention but looks at the correlation between injunctive norms manipulation and different reference groups

Ragsdale 2010

Not alcohol‐related

Reilly 2008

Both study arms had social norms component

Saitz 2007

Both groups received a social norms intervention

Schulenberg 2001

No PNF data reported

Scribner 2011

Not an RCT

Segal 2009

Not a social norms intervention

Smith 2004

Social norms media campaign on campus at same time as the RCT, indicates contamination of the control group

Spijkerman 2010

Not university students

Stamper 2004

Social norms media campaign on campus at same time as the RCT, indicates contamination of the control group

Steffian 1999

Not an RCT

Ståhlbrandt 2007

No social norms intervention

Sugarman 2009

No social norms intervention

Tevyaw 2007

Both groups received a social norms intervention

Thombs 2002

Not an RCT

Tollison 2008

Not an RCT

Trocker 2004

Process of randomisation failed

Turner 2008

Intervention was delivered campus‐wide, therefore no appropriate control group for the purpose of this review

Vernig 2009

Not a social norms intervention

Walker 2002

Not an RCT

Walters 2009b

Not a social norms intervention

Werch 2008

Not a social norms intervention

Werch 2010

Not a social norms intervention

White 2006

Not a true control group

White 2007

Both groups received a social norms intervention

White 2008

No group randomly assigned to non‐SNF control

Wild 2007

No university or college students

Young 2010

Not an RCT

Characteristics of studies awaiting assessment [ordered by study ID]

Croom 2009

Methods

Design: randomised controlled trial

Follow‐up: 4 weeks to 6 weeks

Attrition: 41%

Participants

Age: 94% 17 years to 18 years

Sex: 51% female

Size: N = 3216 students

Allocation: 1608 in each arm

Country: USA

Interventions

AlcoholEDU online course; details of social normative component not clear

Outcomes

Prevalence of alcohol use; high‐risk behaviour; protective behaviour; harm experienced

Notes

Unclear whether this version of AlcoholEDU contained the normative feedback component that appeared in later versions

Whiteside 2010

Methods

Design: randomised controlled trial

Follow‐up: 3 months

Attrition: no details

Participants

Age: no details

Sex: no details

Size: N = 103 students in relevant arms

Allocation: no details

Country: USA

Interventions

BASICS vs relaxation control condition; no further details

Outcomes

Insufficient information

Notes

Awaiting copy of full dissertation from study author

Data and analyses

Open in table viewer
Comparison 1. Social norms (SN) vs control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Alcohol‐related problems: up to 3 months Show forest plot

37

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.1

Comparison 1 Social norms (SN) vs control, Outcome 1 Alcohol‐related problems: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 1 Alcohol‐related problems: up to 3 months.

1.1 Mailed feedback

6

1045

Std. Mean Difference (IV, Random, 95% CI)

0.10 [‐0.02, 0.22]

1.2 Web feedback

21

10166

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.26, ‐0.05]

1.3 Individual face‐to‐face

8

1205

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.27, ‐0.00]

1.4 Group face‐to‐face

4

382

Std. Mean Difference (IV, Random, 95% CI)

‐0.16 [‐0.42, 0.10]

2 Alcohol‐related problems: 4+ months Show forest plot

30

Std. Mean Difference (Random, 95% CI)

Subtotals only

Analysis 1.2

Comparison 1 Social norms (SN) vs control, Outcome 2 Alcohol‐related problems: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 2 Alcohol‐related problems: 4+ months.

2.1 Mailed feedback

1

64

Std. Mean Difference (Random, 95% CI)

‐0.34 [‐0.83, 0.15]

2.2 Web feedback

15

11767

Std. Mean Difference (Random, 95% CI)

‐0.04 [‐0.11, 0.02]

2.3 Individual face‐to‐face

11

2327

Std. Mean Difference (Random, 95% CI)

‐0.14 [‐0.24, ‐0.04]

2.4 Group face‐to‐face

1

126

Std. Mean Difference (Random, 95% CI)

‐0.62 [‐0.97, ‐0.26]

2.5 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.03 [‐0.17, 0.10]

3 Binge drinking: up to 3 months Show forest plot

26

10667

Std. Mean Difference (Random, 95% CI)

‐0.17 [‐0.24, ‐0.09]

Analysis 1.3

Comparison 1 Social norms (SN) vs control, Outcome 3 Binge drinking: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 3 Binge drinking: up to 3 months.

3.1 Mailed feedback

2

615

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.51, 0.36]

3.2 Web feedback

14

8744

Std. Mean Difference (Random, 95% CI)

‐0.15 [‐0.24, ‐0.06]

3.3 Individual face‐to‐face

6

932

Std. Mean Difference (Random, 95% CI)

‐0.21 [‐0.35, ‐0.07]

3.4 Group face‐to‐face

5

376

Std. Mean Difference (Random, 95% CI)

‐0.28 [‐0.48, ‐0.07]

4 Binge drinking: 4+ months Show forest plot

16

11292

Std. Mean Difference (Random, 95% CI)

‐0.06 [‐0.11, ‐0.02]

Analysis 1.4

Comparison 1 Social norms (SN) vs control, Outcome 4 Binge drinking: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 4 Binge drinking: 4+ months.

4.1 Mailed feedback

1

65

Std. Mean Difference (Random, 95% CI)

‐0.17 [‐0.66, 0.32]

4.2 Web feedback

10

10719

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.12, ‐0.02]

4.3 Individual face‐to‐face

5

508

Std. Mean Difference (Random, 95% CI)

0.01 [‐0.17, 0.18]

5 Quantity of drinking: up to 3 months Show forest plot

45

14184

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.19, ‐0.09]

Analysis 1.5

Comparison 1 Social norms (SN) vs control, Outcome 5 Quantity of drinking: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 5 Quantity of drinking: up to 3 months.

5.1 Mailed feedback

5

1020

Std. Mean Difference (IV, Random, 95% CI)

‐0.04 [‐0.21, 0.13]

5.2 Web feedback

28

10889

Std. Mean Difference (IV, Random, 95% CI)

‐0.12 [‐0.18, ‐0.07]

5.3 Individual face‐to‐face

8

1309

Std. Mean Difference (IV, Random, 95% CI)

‐0.24 [‐0.38, ‐0.11]

5.4 Group face‐to‐face

5

411

Std. Mean Difference (IV, Random, 95% CI)

‐0.30 [‐0.49, ‐0.10]

5.5 Marketing campaign

1

555

Std. Mean Difference (IV, Random, 95% CI)

‐0.05 [‐0.22, 0.11]

6 Quantity of drinking: 4+ months Show forest plot

32

21169

Std. Mean Difference (Random, 95% CI)

‐0.08 [‐0.12, ‐0.04]

Analysis 1.6

Comparison 1 Social norms (SN) vs control, Outcome 6 Quantity of drinking: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 6 Quantity of drinking: 4+ months.

6.1 Mailed feedback

2

533

Std. Mean Difference (Random, 95% CI)

‐0.13 [‐0.32, 0.06]

6.2 Web feedback

18

13319

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.12, ‐0.02]

6.3 Individual face‐to‐face

12

2374

Std. Mean Difference (Random, 95% CI)

‐0.15 [‐0.23, ‐0.08]

6.4 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.02 [‐0.13, 0.09]

7 Frequency: up to 3 months Show forest plot

19

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.7

Comparison 1 Social norms (SN) vs control, Outcome 7 Frequency: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 7 Frequency: up to 3 months.

7.1 Mailed feedback

1

521

Std. Mean Difference (IV, Random, 95% CI)

0.12 [‐0.05, 0.29]

7.2 Web feedback

12

6385

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.25, ‐0.09]

7.3 Individual face‐to‐face

4

515

Std. Mean Difference (IV, Random, 95% CI)

‐0.45 [‐0.63, ‐0.28]

7.4 Group face‐to‐face

3

264

Std. Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.27, 0.21]

8 Frequency: 4+ months Show forest plot

25

Std. Mean Difference (Random, 95% CI)

Subtotals only

Analysis 1.8

Comparison 1 Social norms (SN) vs control, Outcome 8 Frequency: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 8 Frequency: 4+ months.

8.1 Web feedback

10

9929

Std. Mean Difference (Random, 95% CI)

‐0.11 [‐0.17, ‐0.04]

8.2 Individual face‐to‐face

8

1464

Std. Mean Difference (Random, 95% CI)

‐0.21 [‐0.31, ‐0.10]

8.3 Group face‐to‐face

5

449

Std. Mean Difference (Random, 95% CI)

‐0.26 [‐0.54, 0.02]

8.4 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.01 [‐0.09, 0.06]

9 Peak BAC: up to 3 months Show forest plot

11

1902

Std. Mean Difference (IV, Random, 95% CI)

‐0.22 [‐0.33, ‐0.11]

Analysis 1.9

Comparison 1 Social norms (SN) vs control, Outcome 9 Peak BAC: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 9 Peak BAC: up to 3 months.

9.1 Mailed feedback

1

94

Std. Mean Difference (IV, Random, 95% CI)

‐0.20 [‐0.60, 0.21]

9.2 Web feedback

4

477

Std. Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.35, 0.09]

9.3 Individual face‐to‐face

7

1331

Std. Mean Difference (IV, Random, 95% CI)

‐0.26 [‐0.39, ‐0.13]

10 Peak BAC: 4+ months Show forest plot

11

7198

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.17, 0.00]

Analysis 1.10

Comparison 1 Social norms (SN) vs control, Outcome 10 Peak BAC: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 10 Peak BAC: 4+ months.

10.1 Mailed feedback

1

468

Std. Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.33, 0.08]

10.2 Web feedback

3

355

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.29, 0.13]

10.3 Individual face‐to‐face

7

1432

Std. Mean Difference (IV, Random, 95% CI)

‐0.16 [‐0.26, ‐0.05]

10.4 Marketing campaign

2

4943

Std. Mean Difference (IV, Random, 95% CI)

0.02 [‐0.18, 0.21]

11 Typical BAC: up to 3 months Show forest plot

8

1336

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.31, ‐0.03]

Analysis 1.11

Comparison 1 Social norms (SN) vs control, Outcome 11 Typical BAC: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 11 Typical BAC: up to 3 months.

11.1 Mailed feedback

3

253

Std. Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.35, 0.15]

11.2 Web feedback

1

282

Std. Mean Difference (IV, Random, 95% CI)

‐0.25 [‐0.48, ‐0.01]

11.3 Individual face‐to‐face

4

801

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.40, 0.12]

12 Typical BAC: 4+ months Show forest plot

4

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.12

Comparison 1 Social norms (SN) vs control, Outcome 12 Typical BAC: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 12 Typical BAC: 4+ months.

12.1 Individual face‐to‐face

4

490

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.26, 0.10]

13 Drinking norms: up to 3 months Show forest plot

14

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.13

Comparison 1 Social norms (SN) vs control, Outcome 13 Drinking norms: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 13 Drinking norms: up to 3 months.

13.1 Mailed feedback

2

698

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.56, 0.14]

13.2 Web feedback

8

1196

Std. Mean Difference (IV, Random, 95% CI)

‐0.51 [‐0.71, ‐0.31]

13.3 Group face‐to‐face

3

297

Std. Mean Difference (IV, Random, 95% CI)

‐0.44 [‐0.84, ‐0.04]

13.4 Individual face‐to‐face

1

244

Std. Mean Difference (IV, Random, 95% CI)

‐1.40 [‐1.68, ‐1.12]

14 Drinking norms: 4+ months Show forest plot

9

Std. Mean Difference (Random, 95% CI)

Subtotals only

Analysis 1.14

Comparison 1 Social norms (SN) vs control, Outcome 14 Drinking norms: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 14 Drinking norms: 4+ months.

14.1 Web feedback

6

2227

Std. Mean Difference (Random, 95% CI)

‐0.34 [‐0.57, ‐0.11]

14.2 Individual face‐to‐face

1

240

Std. Mean Difference (Random, 95% CI)

‐1.19 [‐1.47, ‐0.92]

14.3 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.06 [‐0.23, 0.11]

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included studies.
Figuras y tablas -
Figure 2

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included studies.

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.
Figuras y tablas -
Figure 3

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.2 Alcohol‐related problems: 4+ months.
Figuras y tablas -
Figure 4

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.2 Alcohol‐related problems: 4+ months.

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.4 Binge drinking: 4+ months.
Figuras y tablas -
Figure 5

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.4 Binge drinking: 4+ months.

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.6 Quantity of drinking: 4+ months.
Figuras y tablas -
Figure 6

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.6 Quantity of drinking: 4+ months.

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.8 Frequency: 4+ months.
Figuras y tablas -
Figure 7

Funnel plot of comparison: 1 Social norms (SN) vs control, outcome: 1.8 Frequency: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 1 Alcohol‐related problems: up to 3 months.
Figuras y tablas -
Analysis 1.1

Comparison 1 Social norms (SN) vs control, Outcome 1 Alcohol‐related problems: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 2 Alcohol‐related problems: 4+ months.
Figuras y tablas -
Analysis 1.2

Comparison 1 Social norms (SN) vs control, Outcome 2 Alcohol‐related problems: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 3 Binge drinking: up to 3 months.
Figuras y tablas -
Analysis 1.3

Comparison 1 Social norms (SN) vs control, Outcome 3 Binge drinking: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 4 Binge drinking: 4+ months.
Figuras y tablas -
Analysis 1.4

Comparison 1 Social norms (SN) vs control, Outcome 4 Binge drinking: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 5 Quantity of drinking: up to 3 months.
Figuras y tablas -
Analysis 1.5

Comparison 1 Social norms (SN) vs control, Outcome 5 Quantity of drinking: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 6 Quantity of drinking: 4+ months.
Figuras y tablas -
Analysis 1.6

Comparison 1 Social norms (SN) vs control, Outcome 6 Quantity of drinking: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 7 Frequency: up to 3 months.
Figuras y tablas -
Analysis 1.7

Comparison 1 Social norms (SN) vs control, Outcome 7 Frequency: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 8 Frequency: 4+ months.
Figuras y tablas -
Analysis 1.8

Comparison 1 Social norms (SN) vs control, Outcome 8 Frequency: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 9 Peak BAC: up to 3 months.
Figuras y tablas -
Analysis 1.9

Comparison 1 Social norms (SN) vs control, Outcome 9 Peak BAC: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 10 Peak BAC: 4+ months.
Figuras y tablas -
Analysis 1.10

Comparison 1 Social norms (SN) vs control, Outcome 10 Peak BAC: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 11 Typical BAC: up to 3 months.
Figuras y tablas -
Analysis 1.11

Comparison 1 Social norms (SN) vs control, Outcome 11 Typical BAC: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 12 Typical BAC: 4+ months.
Figuras y tablas -
Analysis 1.12

Comparison 1 Social norms (SN) vs control, Outcome 12 Typical BAC: 4+ months.

Comparison 1 Social norms (SN) vs control, Outcome 13 Drinking norms: up to 3 months.
Figuras y tablas -
Analysis 1.13

Comparison 1 Social norms (SN) vs control, Outcome 13 Drinking norms: up to 3 months.

Comparison 1 Social norms (SN) vs control, Outcome 14 Drinking norms: 4+ months.
Figuras y tablas -
Analysis 1.14

Comparison 1 Social norms (SN) vs control, Outcome 14 Drinking norms: 4+ months.

Social norms information compared with controls for prevention of alcohol misuse

Patient or population: university or college students

Settings: college or university settings

Intervention: social norms information (personalised feedback or information campaigns); by delivery mode if subgroup differences were noted between different delivery modes (mailed normative feedback; web/computer feedback; individual face‐to‐face feedback; group face‐to‐face feedback)

Comparison: no intervention (assessment only or alcohol information or alternative (non‐normative) intervention)

Follow‐up: 4+ months

Measurement: self‐reported alcohol consumption (questionnaire scale)

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Alcohol‐related problems: 4+ monthsweb/computer normative feedback

Mean alcohol problems scale score was 8.91 in the control group, with a standard deviation of 9.17 (the 69‐point RAPI scale was used by Martens 2013)

The SMD from the meta‐analysis (‐0.04) will result in a decrease of 0.37 in the alcohol problems scale score (95% CI 0.18 to 1.00), from an average of 8.91 to 8.54, based on Martens 2013

(SMD ‐0.04, 95% CI ‐0.11 to 0.02)

11,767 (15)

⊕⊕⊝⊝
Low

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up). Borderline substantial heterogeneity (I2 = 51%)

Alcohol‐related problems: 4+ monthsindividual face‐to‐face normative feedback

Mean alcohol problems scale score was 8.91 in the control group, with a standard deviation of 9.17 (the 69‐point RAPI scale was used by Martens 2013)

The SMD from the meta‐analysis (‐0.15) will result in a decrease of 1.28 in the alcohol problems scale score (95% CI 0.37 to 2.20), from an average of 8.91 to 7.63, based on Martens 2013

(SMD ‐0.14, 95% CI ‐0.24 to ‐0.04)

2327 (11)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

Binge drinking: 4+ months (all delivery modes)

43.9% of control group participants were binge drinkers, defined as those who drink above recommended limits for acute risk (> 40 g/> 60 g ethanol on 1 occasion in the preceding 4 weeks for women and men, respectively) in a study by Kypri 2014

The SMD from the meta‐analysis (‐0.06) will result in 2.7% fewer binge drinkers (95% CI 0.9% to 4.8%), from 43.9% to 41.2%, based on Kypri 2014

(SMD ‐0.06, 95% CI ‐0.11 to ‐0.02)

11,292 (16)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

Quantity of drinking: 4+ months (all delivery modes)

Mean number of drinks per week was 13.74 in the control group, with a standard deviation of 10.77, from the DDQ measure in Martens 2013

The SMD from the meta‐analysis (‐0.08) will result in a decrease of 0.9 drinks consumed each week (95% CI 0.4 to 1.3), from an average of 13.7 drinks per week to 12.8 drinks per week, based on Martens 2013

(SMD ‐0.08, 95% CI ‐0.12 to ‐0.04)

21,169 (32)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

Frequency: 4+ monthsweb/computer normative feedback

Mean number of drinking days per week was 2.74 in the control group, with a standard deviation of 1.54, from the DDQ measure in Martens 2013

The SMD from the meta‐analysis (‐0.11) will result in a decrease of 0.17 drinking days per week (95% CI 0.06 to 0.26), from an average of 2.74 drinking days per week to 2.57 drinking days per week, based on Martens 2013

(SMD ‐0.11, 95% CI ‐0.17 to ‐0.04)

9929 (10)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

Frequency: 4+ monthsindividual face‐to‐face normative feedback

Mean number of drinking days per week was 2.74 in the control group, with a standard deviation of 1.54, from the DDQ measure in Martens 2013

The SMD from the meta‐analysis (‐0.21) will result in a decrease of 0.32 drinking days per week (95% CI 0.15 to 0.48), from an average of 2.74 drinking days per week to 2.42 drinking days per week, based on Martens 2013

(SMD ‐0.21, 95% CI ‐0.31 to ‐0.10)

1464 (8)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

Frequency: 4+ monthsgroup face‐to‐face normative feedback

Mean number of drinking days per week was 2.74 in the control group, with a standard deviation of 1.54, from the DDQ measure in Martens 2013

The SMD from the meta‐analysis (‐0.26) will result in a decrease of 0.40 drinking days per week (95% CI 0.03 to 0.83), from an average of 2.74 drinking days per week to 2.34 drinking days per week, based on Martens 2013

(SMD ‐0.26, 95% CI ‐0.54 to 0.02)

449 (5)

⊕⊕⊝⊝
Low

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up). Substantial heterogeneity (I2 = 55%)

Peak BAC: 4+ months (all delivery modes)

Mean peak BAC was 0.144% in the control group, with a standard deviation of 0.111, from Martens 2013

The SMD from the meta‐analysis (‐0.08) will result in a decrease of 0.009 for peak BAC (95% CI 0.000 to 0.019), from an average of 0.144% to 0.135%, based on Martens 2013

(SMD ‐0.08, 95% CI ‐0.17 to 0.00)

7198 (11)

⊕⊕⊝⊝
Low

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up). Borderline substantial heterogeneity (I2 = 50%)

Typical BAC: 4+ monthsindividual face‐to‐face normative feedback

Mean typical BAC was 0.08% in the control group, with a standard deviation of 0.048, from Schaus 2009

The SMD from the meta‐analysis (‐0.08) will result in a decrease of 0.004 for typical BAC (95% CI ‐0.005 to 0.013), from an average of 0.080% to 0.076%, based on Schaus 2009

(SMD ‐0.08, 95% CI ‐0.26 to 0.10)

490 (4)

⊕⊕⊕⊝
Moderate

Limitations in design and implementation, especially blinding and in some studies high risk of attrition bias (loss to follow‐up)

*The basis for the assumed risk is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
BAC: Blood alcohol concentration; CI: Confidence interval; SMD: Standardised mean difference; DDQ: daily drinking questionnaire; RAPI: Rutgers Alcohol Problem Index (frequency of occurrence of 23 problems from "None" (scored 0) to "More than 5 times" (scored 3) to give a range of scores from 0 to 69).

GRADE Working Group grades of evidence.
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

In the columns illustrating comparative risks: for outcomes where the pooled analysis point estimate and confidence interval showed some effect, we have used results (mean scores and standard deviations) from Martens 2013 to illustrate the effect sizes in terms of the measures used in that study. We chose Martens 2013 because the outcome measures they use are well‐known, generally well regarded, and are typical of the measures used in this field of research: they used the Daily Drinking Questionnaire (DDQ) and the Rutgers Alcohol Problem Index (RAPI).

Figuras y tablas -
Comparison 1. Social norms (SN) vs control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Alcohol‐related problems: up to 3 months Show forest plot

37

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

1.1 Mailed feedback

6

1045

Std. Mean Difference (IV, Random, 95% CI)

0.10 [‐0.02, 0.22]

1.2 Web feedback

21

10166

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.26, ‐0.05]

1.3 Individual face‐to‐face

8

1205

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.27, ‐0.00]

1.4 Group face‐to‐face

4

382

Std. Mean Difference (IV, Random, 95% CI)

‐0.16 [‐0.42, 0.10]

2 Alcohol‐related problems: 4+ months Show forest plot

30

Std. Mean Difference (Random, 95% CI)

Subtotals only

2.1 Mailed feedback

1

64

Std. Mean Difference (Random, 95% CI)

‐0.34 [‐0.83, 0.15]

2.2 Web feedback

15

11767

Std. Mean Difference (Random, 95% CI)

‐0.04 [‐0.11, 0.02]

2.3 Individual face‐to‐face

11

2327

Std. Mean Difference (Random, 95% CI)

‐0.14 [‐0.24, ‐0.04]

2.4 Group face‐to‐face

1

126

Std. Mean Difference (Random, 95% CI)

‐0.62 [‐0.97, ‐0.26]

2.5 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.03 [‐0.17, 0.10]

3 Binge drinking: up to 3 months Show forest plot

26

10667

Std. Mean Difference (Random, 95% CI)

‐0.17 [‐0.24, ‐0.09]

3.1 Mailed feedback

2

615

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.51, 0.36]

3.2 Web feedback

14

8744

Std. Mean Difference (Random, 95% CI)

‐0.15 [‐0.24, ‐0.06]

3.3 Individual face‐to‐face

6

932

Std. Mean Difference (Random, 95% CI)

‐0.21 [‐0.35, ‐0.07]

3.4 Group face‐to‐face

5

376

Std. Mean Difference (Random, 95% CI)

‐0.28 [‐0.48, ‐0.07]

4 Binge drinking: 4+ months Show forest plot

16

11292

Std. Mean Difference (Random, 95% CI)

‐0.06 [‐0.11, ‐0.02]

4.1 Mailed feedback

1

65

Std. Mean Difference (Random, 95% CI)

‐0.17 [‐0.66, 0.32]

4.2 Web feedback

10

10719

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.12, ‐0.02]

4.3 Individual face‐to‐face

5

508

Std. Mean Difference (Random, 95% CI)

0.01 [‐0.17, 0.18]

5 Quantity of drinking: up to 3 months Show forest plot

45

14184

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.19, ‐0.09]

5.1 Mailed feedback

5

1020

Std. Mean Difference (IV, Random, 95% CI)

‐0.04 [‐0.21, 0.13]

5.2 Web feedback

28

10889

Std. Mean Difference (IV, Random, 95% CI)

‐0.12 [‐0.18, ‐0.07]

5.3 Individual face‐to‐face

8

1309

Std. Mean Difference (IV, Random, 95% CI)

‐0.24 [‐0.38, ‐0.11]

5.4 Group face‐to‐face

5

411

Std. Mean Difference (IV, Random, 95% CI)

‐0.30 [‐0.49, ‐0.10]

5.5 Marketing campaign

1

555

Std. Mean Difference (IV, Random, 95% CI)

‐0.05 [‐0.22, 0.11]

6 Quantity of drinking: 4+ months Show forest plot

32

21169

Std. Mean Difference (Random, 95% CI)

‐0.08 [‐0.12, ‐0.04]

6.1 Mailed feedback

2

533

Std. Mean Difference (Random, 95% CI)

‐0.13 [‐0.32, 0.06]

6.2 Web feedback

18

13319

Std. Mean Difference (Random, 95% CI)

‐0.07 [‐0.12, ‐0.02]

6.3 Individual face‐to‐face

12

2374

Std. Mean Difference (Random, 95% CI)

‐0.15 [‐0.23, ‐0.08]

6.4 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.02 [‐0.13, 0.09]

7 Frequency: up to 3 months Show forest plot

19

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

7.1 Mailed feedback

1

521

Std. Mean Difference (IV, Random, 95% CI)

0.12 [‐0.05, 0.29]

7.2 Web feedback

12

6385

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.25, ‐0.09]

7.3 Individual face‐to‐face

4

515

Std. Mean Difference (IV, Random, 95% CI)

‐0.45 [‐0.63, ‐0.28]

7.4 Group face‐to‐face

3

264

Std. Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.27, 0.21]

8 Frequency: 4+ months Show forest plot

25

Std. Mean Difference (Random, 95% CI)

Subtotals only

8.1 Web feedback

10

9929

Std. Mean Difference (Random, 95% CI)

‐0.11 [‐0.17, ‐0.04]

8.2 Individual face‐to‐face

8

1464

Std. Mean Difference (Random, 95% CI)

‐0.21 [‐0.31, ‐0.10]

8.3 Group face‐to‐face

5

449

Std. Mean Difference (Random, 95% CI)

‐0.26 [‐0.54, 0.02]

8.4 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.01 [‐0.09, 0.06]

9 Peak BAC: up to 3 months Show forest plot

11

1902

Std. Mean Difference (IV, Random, 95% CI)

‐0.22 [‐0.33, ‐0.11]

9.1 Mailed feedback

1

94

Std. Mean Difference (IV, Random, 95% CI)

‐0.20 [‐0.60, 0.21]

9.2 Web feedback

4

477

Std. Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.35, 0.09]

9.3 Individual face‐to‐face

7

1331

Std. Mean Difference (IV, Random, 95% CI)

‐0.26 [‐0.39, ‐0.13]

10 Peak BAC: 4+ months Show forest plot

11

7198

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.17, 0.00]

10.1 Mailed feedback

1

468

Std. Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.33, 0.08]

10.2 Web feedback

3

355

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.29, 0.13]

10.3 Individual face‐to‐face

7

1432

Std. Mean Difference (IV, Random, 95% CI)

‐0.16 [‐0.26, ‐0.05]

10.4 Marketing campaign

2

4943

Std. Mean Difference (IV, Random, 95% CI)

0.02 [‐0.18, 0.21]

11 Typical BAC: up to 3 months Show forest plot

8

1336

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.31, ‐0.03]

11.1 Mailed feedback

3

253

Std. Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.35, 0.15]

11.2 Web feedback

1

282

Std. Mean Difference (IV, Random, 95% CI)

‐0.25 [‐0.48, ‐0.01]

11.3 Individual face‐to‐face

4

801

Std. Mean Difference (IV, Random, 95% CI)

‐0.14 [‐0.40, 0.12]

12 Typical BAC: 4+ months Show forest plot

4

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

12.1 Individual face‐to‐face

4

490

Std. Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.26, 0.10]

13 Drinking norms: up to 3 months Show forest plot

14

Std. Mean Difference (IV, Random, 95% CI)

Subtotals only

13.1 Mailed feedback

2

698

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.56, 0.14]

13.2 Web feedback

8

1196

Std. Mean Difference (IV, Random, 95% CI)

‐0.51 [‐0.71, ‐0.31]

13.3 Group face‐to‐face

3

297

Std. Mean Difference (IV, Random, 95% CI)

‐0.44 [‐0.84, ‐0.04]

13.4 Individual face‐to‐face

1

244

Std. Mean Difference (IV, Random, 95% CI)

‐1.40 [‐1.68, ‐1.12]

14 Drinking norms: 4+ months Show forest plot

9

Std. Mean Difference (Random, 95% CI)

Subtotals only

14.1 Web feedback

6

2227

Std. Mean Difference (Random, 95% CI)

‐0.34 [‐0.57, ‐0.11]

14.2 Individual face‐to‐face

1

240

Std. Mean Difference (Random, 95% CI)

‐1.19 [‐1.47, ‐0.92]

14.3 Marketing campaign

2

4943

Std. Mean Difference (Random, 95% CI)

‐0.06 [‐0.23, 0.11]

Figuras y tablas -
Comparison 1. Social norms (SN) vs control