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Referencias

Chang 2012 {published data only}

Chang ET, Lai HL, Chen PW, Hsieh YM, Lee LH. The effects of music on the sleep quality of adults with chronic insomnia using evidence from polysomnographic and self‐reported analysis: a randomized control trial. International Journal of Nursing Studies 2012;49(8):921‐30.

Harmat 2008 {published and unpublished data}

Harmat L, Takács J, Bódizs R. Music improves sleep quality in students. Journal of Advanced Nursing2008; Vol. 62, issue 3:327‐35.

Jespersen 2012 {published data only}

Jespersen KV. The Impact of Music on Sleep: A Review and Empirical Study of Music Listening as Intervention for Sleep Improvement [Master thesis]. Aarhus, Denmark: Department of Psychology and Behavioural Sciences, Aarhus University, 2010.
Jespersen KV, Vuust P. The effect of relaxation music listening on sleep quality in traumatized refugees: a pilot study. Journal of Music Therapy 2012;49(2):205‐29.

Kullich 2003 {published and unpublished data}

Kullich W, Bernatzky G, Hesse HP, Wendtner F, Likar R, Klein G. Music therapy ‐ impact on pain, sleep, and quality of life in low back pain [Musiktherapie ‐ Wirkung auf schmerz, schlaf und lebensqualität bei low back pain]. Wiener Medizinische Wochenschrift2003; Vol. 153, issue 9‐10:217‐21.

Lai 2005 {published data only}

Lai H. The Effects of Music Therapy on Sleep Quality in Elderly People [PhD thesis]. Ann Arbor: UMI Dissertation Services, 2004.
Lai HL, Good M. Music improves sleep quality in older adults. Journal of Advanced Nursing2005; Vol. 49, issue 3:234‐44.

Shum 2014 {published data only}

Shum A, Taylor BJ, Thayala J, Chan MF. The effects of sedative music on sleep quality of older community‐dwelling adults in Singapore. Complementary Therapies in Medicine 2014;22(1):49‐56.

Abdollahnejad 2006 {published data only}

Abdollahnejad MR. Music therapy in the Tehran therapeutic community. Therapeutic Communities 2006;27(1):147‐58.

Beattie 2013 {published data only}

Beattie E, McCrow J, Quinn L, Doyle C, Pachana N. Effect of a choir intervention on behaviour, sleep and social engagement of community‐dwelling people with dementia. International Psychogeriatrics. Proceedings of the 16th International Congress; 2013 October 1‐4; Seoul; Korea. Cambridge, UK: Cambridge University Press, 2013; Vol. 25 Suppl S1:S30.

Blanaru 2012 {published data only}

Blanaru M, Bloch B, Vadas L, Arnon Z, Ziv N, Kremer I, et al. The effects of music relaxation and muscle relaxation techniques on sleep quality and emotional measures among individuals with posttraumatic stress disorder. Mental Illness 2012;4(2):59‐65.
Haimov I, Blanaro M, Arnon Z, Ziv N, Bloch B, Reshef A, et al. The effects of music and muscle relaxation therapies on sleep quality in individuals with post‐traumatic stress disorder. Journal of Sleep Research. Abstracts of the 20th Congress of the European Sleep Research Society; 2010 September 14‐18; Lisbon; Portugal. 2010; Vol. 19:364.

Bloch 2010 {published data only}

Bloch B, Reshef A, Vadas L, Haliba Y, Ziv N, Kremer I, et al. The effects of music relaxation on sleep quality and emotional measures in people living with schizophrenia. Journal of Music Therapy 2010;47(1):27‐52.

Bonebreak 1996 {published data only}

Bonebreak KJ. A sound way to induce relaxation and natural sleep: a safe alternative to sedation. American Journal of Electroneurodiagnostic Technology 1996;36(4):264‐8.

Bonnet 2000 {published data only}

Bonnet MH, Arand DL. The impact of music upon sleep tendency as measured by the multiple sleep latency test and maintenance of wakefulness test. Physiology & Behavior 2000;71(5):485‐92.

Bozcuk 2006 {published data only}

Bozcuk H, Artac M, Kara A, Ozdogan M, Sualp Y, Topcu Z, et al. Does music exposure during chemotherapy improve quality of life in early breast cancer patients? A pilot study. Medical Science Monitor 2006;12(5):CR200‐5.

Breitenfeld 1992 {published data only}

Breitenfeld D, Breitenfeld T, Bergovec M. Music instead of sleeping pills [Glazba za uspavljivanje mjesto tableta za spavanje]. Tonovi: Časopis Glazbenih Pedagoga 1992;7:36.

Chan 2010 {published data only}

Chan MF. A randomised controlled study of the effects of music on sleep quality in older people. Journal of Clinical Nursing 2011;20(7‐8):979‐87.
Chan MF, Chan EA, Mok E. Effects of music on depression and sleep quality in elderly people: a randomised controlled trial. Complementary Therapies in Medicine 2010;18(3‐4):150‐9.

Chen 2014 {published data only}

Chen CK, Pei YC, Chen NH, Huang LT, Chou SW, Wu KP, et al. Sedative music facilitates deep sleep in young adults. Journal of Alternative and Complementary Medicine 2014;20(4):312‐7.

Demi̇rbağ 2014 {published data only}

Demi̇rbağ BC, Erci̇ B. The effects of sleep and touch therapy accompanied by music and aromatherapy on the impact level of fibromyalgia, fatigue and sleep quality in fibromyalgia patients. TAF Preventive Medicine Bulletin 2014;13(1):57‐64.

De Niet 2010 {published data only}

De Niet G, Tiemens B, Hutschemaekers G. Can mental healthcare nurses improve sleep quality for inpatients?. British Journal of Nursing 2010;19(17):1100‐5.
De Niet G, Tiemens B, Van Achterberg T, Hutschemaekers G. Applicability of two brief evidence‐based interventions to improve sleep quality in inpatient mental health care. International Journal of Mental Health Nursing 2011;20(5):319‐27.

Deshmukh 2009 {published data only}

Deshmukh AD, Sarvaiya AA, Seethalakshmi R, Nayak AS. Effect of Indian classical music on quality of sleep in depressed patients: a randomized controlled trial. Nordic Journal of Music Therapy 2009;18(1):70‐8.

Dorn 2014 {published data only}

Dorn F, Wirth L, Gorbey S, Wege M, Zemlin M, Maier RF, et al. Influence of acoustic stimulation on the circadian and ultradian rhythm of premature infants. Chronobiology International 2014;31(9):1062‐74. [PUBMED: 25133792]

DuRousseau 2011 {published data only}

DuRousseau DR, Mindlin G, Insler J, Levin II. Operational study to evaluate music‐based neurotraining at improving sleep quality, mood, and daytime function in a first responder population. Journal of Neurotherapy 2011;15:389‐98.

Field 1999 {published data only}

Field T. Music enhances sleep in preschool children. Early Child Development and Care 1999;150(1):65‐8.

Gao 2014 {published data only}

Gao R, Lv Y, Li X, Zhou K, Jin X, Dang S, et al. Effects of comprehensive sleep management on sleep quality in university students in mainland China. Sleep and Biological Rhythms 2014;12(3):194‐202. [DOI: 10.1111/sbr.12063]

Garunkstiene 2014 {published data only}

Garunkstiene R, Buinauskiene J, Uloziene I, Markuniene E. Controlled trial of live versus recorded lullabies in preterm infants. Nordic Journal of Music Therapy 2014;23(1):71‐88.

Gitanjali 1998 {published data only}

Gitanjali B. Effect of the Karnatic music raga "Neelambari" on sleep architecture. Indian Journal of Physiology and Pharmacology 1998;42(1):119‐22.

Hérnandez‐Ruíz 2005 {published data only}

Hérnandez‐Ruíz E. Effect of music therapy on the anxiety levels and sleep patterns of abused women in shelters. Journal of Music Therapy 2005;42(2):140‐58.

Hu 2015 {published data only}

Hu RF, Jiang XY, Hegadoren KM, Zhang YH. Effects of earplugs and eye masks combined with relaxing music on sleep, melatonin and cortisol levels in ICU patients: a randomized controlled trial. Critical Care 2015;19:1‐9. [PUBMED: 25881268]

Iwaki 2003 {published data only}

Iwaki T, Tanaka H, Hori T. The effects of preferred familiar music on falling asleep. Journal of Music Therapy 2003;40(1):15‐26.

Johnson 2003 {published data only}

Johnson JE. The use of music to promote sleep in older women. Journal of Community Health Nursing 2003;20(1):27‐35.

Kayumov 2003 {published data only}

Kayumov L, Moller HJ. Brain music: a novel somatic treatment for insomnia and anxiety. 156th Annual Meeting of the American Psychiatric Association, 2003 May 17‐22, San Francisco (CA). 2003:Nr405.

Koenig 2013 {published data only}

Koenig J, Jarczok MN, Warth M, Harmat L, Hesse N, Jespersen KV, et al. Music listening has no positive or negative effects on sleep quality of normal sleepers: results of a randomized controlled trial. Nordic Journal of Music Therapy 2013;22(3):233‐42.

Lai 2012 {published data only}

Lai HL, Li YM, Lee LH. Effects of music intervention with nursing presence and recorded music on psycho‐physiological indices of cancer patient caregivers. Journal of Clinical Nursing 2012;21(5‐6):745‐56.

Lai 2015 {published data only}

Lai H‐L, Chang E‐T, Li Y‐M, Huang C‐Y, Lee L‐H, Wang H‐M. Effects of music videos on sleep quality in middle‐aged and older adults with chronic insomnia: a randomized controlled trial. Biological Research for Nursing 2015;17(3):340‐7. [PUBMED: 25237150]

Lazic 2007 {published data only}

Lazic SE, Ogilvie RD. Lack of efficacy of music to improve sleep: a polysomnographic and quantitative EEG analysis. International Journal of Psychophysiology 2007;63(3):232‐9.

Levin 1998 {published data only}

Levin II. "Music of the Brain" in the treatment of insomnia patients. Zhurnal Nevrologii i Psikhiatrii Imeni S.S. Korsakova 1997;97(4):39‐43.
Levin Y. "Brain music" in the treatment of patients with insomnia. Neuroscience and Behavioral Physiology 1998;28(3):330‐5.

Lindenmuth 1992 {published data only}

Lindenmuth GF, Patel M, Chang PK. Effects of music on sleep in healthy elderly and subjects with senile dementia of the Alzheimer type. American Journal of Alzheimer's Disease and Other Dementias 1992;7(2):13‐20.

Liu 2006 {published data only}

Liu W, Kong J, Han B, Jin Y, Liu G, Gao F, et al. Effect of the somatosensory vibro‐music relaxation therapy on treatment of physical and psychological symptoms on sub‐health patients: a randomized controlled clinical trial. Chinese Journal of Rehabilitation Medicine 2006;21(11):1008‐11.

Loewy 2005 {published data only}

Loewy J, Hallan C, Friedman E, Martinez C. Sleep/sedation in children undergoing EEG testing: a comparison of chloral hydrate and music therapy. American Journal of Electroneurodiagnostic Technology 2006;46(4):343‐55.
Loewy J, Hallan C, Friedman E, Martinez C. Sleep/sedation in children undergoing EEG testing: a comparison of chloral hydrate and music therapy. Journal of PeriAnesthesia Nursing 2005;20(5):323‐31.

Loewy 2013 {published data only}

Loewy J, Stewart K, Dassler A‐M, Telsey A, Homel P. The effects of music therapy on vital signs, feeding, and sleep in premature infants. Pediatrics 2013;131(5):902‐18.

Lü 2008 {published data only}

Lü X, Lu Y, Liao X. Study on influence of music therapy on quality of life of cancer patients. Chinese Nursing Research 2008;22(1B):106‐8.

Ma 2004 {published data only}

Ma Y, He DL, Jing LS, Wang J, Zha XX, Tan HM. Study of music intervention therapy on the sleep quality of preoperative patients. Chinese Journal of Clinical Rehabilitation 2004;8(6):1024‐5.

Mandel 2007 {published data only}

Mandel SE, Hanser SB, Secic M, Davis BA. Effects of music therapy on health‐related outcomes in cardiac rehabilitation: a randomized controlled trial. Journal of Music Therapy 2007;44(3):176‐97.

Mornhinweg 1995 {published data only}

Mornhinweg GC, Voignier RR. Music for sleep disturbance in the elderly. Journal of Holistic Nursing 1995;13(3):248‐54.

Naghdi 2015 {published data only}

Naghdi L, Ahonen H, Macario P, Bartel L. The effect of low‐frequency sound stimulation on patients with fibromyalgia: a clinical study. Pain Research & Management 2015;20(1):e21‐7. [PUBMED: 25545161]

Oxtoby 2013 {published data only}

Oxtoby J, Sacre S, Lurie‐Beck J, Pedersen IN. The impact of relaxing music on insomnia‐related thoughts and behaviours. Australian Journal of Music Therapy 2013;24:67‐86.

Picard 2014 {published data only}

Picard LM, Bartel LR, Gordon AS, Cepo D, Wu Q, Pink LR. Music as a sleep aid in fibromyalgia. Pain Research & Management 2014;19(2):97‐101.

Reinhardt 1999 {published data only}

Reinhardt U. Investigations into synchronisation of heart rate and musical rhythm in a relaxation therapy in patients with cancer pain. Forschende Komplementarmedizin 1999;6(3):135‐41.

Renzi 2000 {published data only}

Renzi C, Peticca L, Pescatori M. The use of relaxation techniques in the perioperative management of proctological patients: preliminary results. International Journal of Colorectal Disease 2000;15(5‐6):313‐6.

Robinson 2005 {published data only}

Robinson SB, Weitzel T, Henderson L. The Sh‐h‐h‐h Project: nonpharmacological interventions. Holistic Nursing Practice 2005;19(6):263‐6.

Ryu 2012 {published data only}

Ryu MJ, Park JS, Park H. Effect of sleep‐inducing music on sleep in persons with percutaneous transluminal coronary angiography in the cardiac care unit. Journal of Clinical Nursing 2012;21(5‐6):728‐35.

Sithinamsuwan 2012 {published and unpublished data}

Sithinamsuwan P, Saengwanitch S, Pinidbunjerdkool A, Ukritchon S, Mungthin M. The effect of Thai traditional music on cognitive function, psychological health and quality of sleep among older Thai individuals with dementia. Journal of the American Geriatrics Society 2012;60(Suppl s4):S61.

Skogar 2013 {published data only}

Skogar O, Borg A, Larsson B, Robertsson L, Andersson L, Andersson P, et al. "Effects of Tactile Touch on pain, sleep and health related quality of life in Parkinson's disease with chronic pain": a randomized, controlled and prospective study. European Journal of Integrative Medicine 2013;5(2):141‐52.

Smith 2004 {published data only}

Smith JC, Joyce CA. Mozart versus new age music: relaxation states, stress, and ABC relaxation theory. Journal of Music Therapy 2004;41(3):215‐24.

Street 2014 {published data only}

Street W, Weed D, Spurlock A. Use of music in the treatment of insomnia: a pilot study. Holistic Nursing Practice 2014;28(1):38‐42.

Su 2013 {published data only}

Su CP, Lai HL, Chang ET, Yiin LM, Perng SJ, Chen PW. A randomized controlled trial of the effects of listening to non‐commercial music on quality of nocturnal sleep and relaxation indices in patients in medical intensive care unit. Journal of Advanced Nursing 2013;69(6):1377‐89.

Sørensen 2005 {published data only}

Sørensen TE. Treating psychiatric anxiety patients with MusiCure: a pilot project [Behandling af angste psykiatriske patienter med MusiCure: et pilotprojekt]. Collected Work: Musikterapi i Psykiatrien 2005;4:77.

Tan 2004 {published data only}

Tan LP. The effects of background music on quality of sleep in elementary school children. Journal of Music Therapy 2004;41(2):128‐50.

Tegeler 2012 {published data only}

Gerdes L, Gerdes P, Lee SW, Tegeler CH. HIRREM™: a noninvasive, allostatic methodology for relaxation and auto‐calibration of neural oscillations. Brain and Behavior 2013;3(2):193‐205.
Tegeler CH, Kumar SR, Conklin D, Lee SW, Gerdes L, Turner DP, et al. Open label, randomized, crossover pilot trial of high‐resolution, relational, resonance‐based, electroencephalic mirroring to relieve insomnia. Brain and Behavior 2012;2(6):814‐24.

Wormit 2012 {published data only}

Wormit AF, Warth M, Koenig J, Hillecke TK, Bardenheuer HJ. Evaluating a treatment manual for music therapy in adult outpatient oncology care. Music and Medicine 2012;4(2):65‐73.

Zimmerman 1996 {published data only}

Zimmerman L, Nieveen J, Barnason S, Schmaderer M. The effects of music interventions on postoperative pain and sleep in coronary artery bypass graft (CABG) patients. Scholarly Inquiry for Nursing Practice 1996;10(2):153‐74.

Ziv 2008 {published data only}

Ziv N, Rotem T, Arnon Z, Haimov I. The effect of music relaxation versus progressive muscular relaxation on insomnia in older people and their relationship to personality traits. Journal of Music Therapy 2008;45(3):360‐80.

Miller 2002 {published and unpublished data}

Bernatzky G, Presch M, Anderson M, Panksepp J. Emotional foundations of music as a non‐pharmacological pain management tool in modern medicine. Neuroscience & Biobehavioral Reviews 2011;35(9):1989‐99.
Miller K, Bernatzky G, Wendtner F. The purpose of music and relaxation for health promotion after surgical procedures ‐ results of a prospective, randomized study. Proceedings of the 10th World Congress on Pain IASP; 2002 August 17‐22; San Diego. Seattle: International Association for the Study of Pain (IASP) Press, 2003.

NCT02321826 {published data only}

NCT02321826. Music for insomnia. www.clinicaltrials.gov (accessed 12 June 2015).

NCT02376686 {published data only}

NCT02376686. Music intervention in the treatment of sleep disorders for depressed patients. www.clinicaltrials.gov (accessed 12 June 2015).

AASM 2005

American Academy of Sleep Medicine. International Classification of Sleep Disorders: Diagnostic and Coding Manual. 2nd Edition. Westchester, IL: American Academy of Sleep Medicine, 2005.

APA 1994

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM‐IV). 4th Edition. Arlington, VA: American Psychiatric Publishing, 1994.

APA 2013

American Psychiatric Association, American Psychiatric Association DSM‐5 Task Force. Diagnostic and Statistical Manual of Mental Disorders (DSM‐5). 5th Edition. Washington, DC: American Psychiatric Publishing, 2013.

Aritake‐Okada 2009

Aritake‐Okada S, Kaneita Y, Uchiyama M, Mishima K, Ohida T. Non‐pharmacological self‐management of sleep among the Japanese general population. Journal of Clinical Sleep Medicine 2009;5(5):464‐9. [PUBMED: 19961033]

Baglioni 2011

Baglioni C, Battagliese G, Feige B, Spiegelhalder K, Nissen C, Voderholzer U, et al. Insomnia as a predictor of depression: a meta‐analytic evaluation of longitudinal epidemiological studies. Journal of Affective Disorders2011; Vol. 135, issue 1‐3:10‐9. [PUBMED: 21300408]

Bastien 2001

Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Medicine 2001;2(4):297‐307. [PUBMED: 11438246]

Beck 1996

Beck AT, Steer RA, Brown GK. Beck Depression Inventory ‐ Second Edition (BDI‐II). San Antonio, TX: Psychological Corporation, 1996.

Begg 1994

Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics 1994;50(4):1088‐101.

Bernatzky 2011

Bernatzky G, Presch M, Anderson M, Panksepp J. Emotional foundations of music as a non‐pharmacological pain management tool in modern medicine. Neuroscience & Biobehavioral Reviews 2011;35(9):1989‐99.

Bradt 2010

Bradt J, Magee WL, Dileo C, Wheeler BL, McGilloway E. Music therapy for acquired brain injury. Cochrane Database of Systematic Reviews 2010, Issue 7. [DOI: 10.1002/14651858.CD006787.pub2]

Bradt 2011

Bradt J, Dileo C, Grocke D, Magill L. Music interventions for improving psychological and physical outcomes in cancer patients. Cochrane Database of Systematic Reviews 2011, Issue 8. [DOI: 10.1002/14651858.CD006911.pub2]

Bradt 2013

Bradt J, Dileo C, Potvin N. Music for stress and anxiety reduction in coronary heart disease patients. Cochrane Database of Systematic Reviews 2013, Issue 12. [DOI: 10.1002/14651858.CD006577.pub3]

Brattico 2009

Brattico E, Pallesen KJ, Varyagina O, Bailey C, Anourova I, Järvenpää M, et al. Neural discrimination of nonprototypical chords in music experts and laymen: an MEG study. Journal of Cognitive Neuroscience 2009;21(11):2230‐44.

Bruscia 1998

Bruscia KE. Defining Music Therapy. Gilsum, NH: Barcelona Publishers, 1998.

Buysse 1989

Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research 1989;28(2):193‐213. [PUBMED: 2748771]

Buysse 2006

Buysse DJ, Ancoli‐Israel S, Edinger JD, Lichstein KL, Morin CM. Recommendations for a standard research assessment of insomnia. Sleep 2006;29(9):1155‐73.

Cepeda 2006

Cepeda MS, Carr DB, Lau J, Alvarez H. Music for pain relief. Cochrane Database of Systematic Reviews 2006, Issue 2. [DOI: 10.1002/14651858.CD004843.pub2]

De Niet 2009

De Niet GJ, Tiemens BG, Kloos MW, Hutschemaekers GJ. Review of systematic reviews about the efficacy of non‐pharmacological interventions to improve sleep quality in insomnia. International Journal of Evidence‐Based Healthcare 2009;7(4):233‐42.

Dileo 2007

Dileo C, Bradt J. Music therapy: applications to stress management. In: Lehrer PM, Woolfolk RL, Sime WE editor(s). Principles and Practice of Stress Management. 3rd Edition. New York: Guilford Press, 2007.

Egger 1997

Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta‐analysis detected by a simple, graphical test. British Medical Journal 1997;315(7109):629‐34.

Eje 2004

MusiCure, 4. Northern Light [music CD]. Gefion Records2004.

Frandsen 2014

Frandsen R, Baandrup L, Kjellberg J, Ibsen R, Jennum P. Increased all‐cause mortality with psychotropic medication in Parkinson's disease and controls: a national register‐based study. Parkinsonism & Related Disorders2014; Vol. 20, issue 11:1124‐8. [PUBMED: 25164488]

Garza‐Villarreal 2014

Garza‐Villarreal EA, Wilson AD, Vase L, Brattico E, Barrios FA, Jensen TS, et al. Music reduces pain and increases functional mobility in fibromyalgia. Frontiers in Psychology2014; Vol. 5:90. [PUBMED: 24575066]

GRADE 2013

Schünemann H, Brozek J, Guyatt G, Oxman A (editors). GRADE handbook: introduction to GRADE handbook: handbook for grading the quality of evidence and strength of recommendations using the GRADE approach. Updated October 2013. www.guidelinedevelopment.org/handbook (accessed 12 June 2015).

GRADEpro 2014 [Computer program]

McMaster University. GRADEpro. Version 3.6. McMaster University, 2014.

Hargreaves 1997

Hargreaves DJ, North AC (editors). The Social Psychology of Music. Oxford: Oxford University Press, 1997.

Harmat 2014 [pers comm]

Harmat L. RE: Page proofs and question [personal communication]. Email to: J Koenig 26 September 2014.

Hernández‐Ruiz 2005

Hernández‐Ruiz E. Effect of music therapy on the anxiety levels and sleep patterns of abused women in shelters. Journal of Music Therapy 2005;42(2):140‐58. [PUBMED: 15913391]

Higgins 2011

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Hodges 2009

Hodges DA. Bodily responses to music. In: Hallam S, Cross I, Thaut M editor(s). The Oxford Handbook of Music Psychology. Oxford: Oxford University Press, 2009:121‐30.

Jespersen 2013a

Jespersen KV, Koenig J, Jennum P, Vuust P. Listening to music for improving sleep in adults with insomnia. Cochrane Database of Systematic Reviews 2013, Issue 3. [DOI: 10.1002/14651858.CD010459]

Juslin 2001

Juslin PN, Sloboda JA. Music and Emotion: Theory and Research. Oxford: Oxford University Press, 2001.

Juslin 2011

Juslin PN, Liljeström S, Laukka P, Västfjäll D, Lundqvist L‐O. Emotional reactions to music in a nationally representative sample of Swedish adults: prevalence and causal influences. Musicae Scientiae 2011;15(2):174‐207. [DOI: 10.1177/1029864911401169]

Koelsch 2011

Koelsch S, Fuermetz J, Sack U, Bauer K, Hohenadel M, Wiegel M, et al. Effects of music listening on cortisol levels and propofol consumption during spinal anesthesia. Frontiers in Psychology 2011;2:58. [PUBMED: 21716581]

Korhan 2011

Korhan EA, Khorshid L, Uyar M. The effect of music therapy on physiological signs of anxiety in patients receiving mechanical ventilatory support. Journal of Clinical Nursing 2011;20(7‐8):1026‐34. [PUBMED: 21323778]

Kripke 2012

Kripke DF, Langer RD, Kline LE. Hypnotics' association with mortality or cancer: a matched cohort study. BMJ Open 2012;2(1):e000850.

Krystal 2004

Krystal AD. The changing perspective on chronic insomnia management. Journal of Clinical Psychiatry 2004;65 Suppl 8:20‐5. [PUBMED: 15153064]

Kullich 2014a [pers comm]

Kullich W. Fw: Data Request / Cochrane Review [personal communication]. Email to: J Koenig 15 September 2014.

Kullich 2014b [pers comm]

Kullich W. Re: Data Request / Cochrane Review [personal communication]. Email to: J Koenig 25 September 2014.

Latimer Hill 2007

Latimer Hill E, Cumming RG, Lewis R, Carrington S, Le Couteur DG. Sleep disturbances and falls in older people. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2007;62(1):62‐6. [PUBMED: 17301039]

Léger 2001

Léger D, Scheuermaier K, Philip P, Paillard M, Guilleminault C. SF‐36: evaluation of quality of life in severe and mild insomniacs compared with good sleepers. Psychosomatic Medicine 2001;63(1):49‐55. [PUBMED: 11211064]

Maratos 2008

Maratos A, Gold C, Wang X, Crawford M. Music therapy for depression. Cochrane Database of Systematic Reviews 2008, Issue 1. [DOI: 10.1002/14651858.CD004517.pub2]

Mayer 2011

Mayer G, Jennum P, Riemann D, Dauvilliers Y. Insomnia in central neurologic diseases – occurrence and management. Sleep Medicine Reviews 2011;15(6):369‐78. [PUBMED: 21481621]

Morin 2003

Morin CM. Measuring outcomes in randomized clinical trials of insomnia treatments. Sleep Medicine Reviews 2003;7(3):263‐79.

Morin 2005

Morin CM. Psychological and behavioral treatments for primary insomnia. In: Kryger MH, Roth T, Dement WC editor(s). Principles and Practice of Sleep Medicine. 4th Edition. Philadelphia: Elsevier Saunders, 2005:726‐37.

Morin 2006a

Morin CM, LeBlanc M, Daley M, Gregoire JP, Mérette C. Epidemiology of insomnia: prevalence, self‐help treatments, consultations, and determinants of help‐seeking behaviors. Sleep Medicine 2006;7(2):123‐30. [PUBMED: 16459140]

Morin 2006b

Morin CM, Bootzin RR, Buysse DJ, Edinger JD, Espie CA, Lichstein KL. Psychological and behavioral treatment of insomnia: update of the recent evidence (1998‐2004). Sleep 2006;29(11):1398‐414. [PUBMED: 17162986]

Morin 2013

Morin CM, Jarrin DC. Epidemiology of insomnia: prevalence, course, risk factors, and public health burden. Sleep Medicine Clinics 2013;8(3):281‐97.

Mössler 2011

Mössler K, Chen X, Heldal TO, Gold C. Music therapy for people with schizophrenia and schizophrenia‐like disorders. Cochrane Database of Systematic Reviews 2011, Issue 12. [DOI: 10.1002/14651858.CD004025.pub3]

Nieminen 2012

Nieminen S, Istók E, Brattico E, Tervaniemi M. The development of the aesthetic experience of music: preference, emotions, and beauty. Musicae Scientiae 2012;16(3):372‐91.

NIH 2005

National Institute of Health. National Institutes of Health State of the science conference statement on manifestations and management of chronic insomnia in adults, June 13‐15, 2005. Sleep 2005;28(9):1049‐57. [PUBMED: 16268373]

Nilsson 2009

Nilsson U. The effect of music intervention in stress response to cardiac surgery in a randomized clinical trial. Heart & Lung: The Journal of Critical Care 2009;38(3):201‐7. [PUBMED: 19486788]

Ohayon 2002

Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Medicine Reviews 2002;6(2):97‐111. [PUBMED: 12531146]

RevMan 2014 [Computer program]

The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Riedel 2000

Riedel BW, Lichstein KL. Insomnia and daytime functioning. Sleep Medicine Reviews 2000;4(3):277‐98. [PUBMED: 12531170]

Shekleton 2010

Shekleton JA, Rogers NL, Rajaratnam SM. Searching for the daytime impairments of primary insomnia. Sleep Medicine Reviews 2010;14(1):47‐60. [PUBMED: 19963414]

Spielberger 1983

Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the State‐Trait Anxiety Inventory. Palo Alto (CA): Consulting Psychologists Press, 1983.

Taylor 2003

Taylor DJ, Lichstein KL, Durrence HH. Insomnia as a health risk factor. Behavioral Sleep Medicine 2003;1(4):227‐47. [PUBMED: 15600216]

Taylor 2007

Taylor DJ, Mallory LJ, Lichstein KL, Durrence HH, Riedel BW, Bush AJ. Comorbidity of chronic insomnia with medical problems. Sleep 2007;30(2):213‐8. [PUBMED: 17326547]

Trappe 2010

Trappe HJ. The effects of music on the cardiovascular system and cardiovascular health. Heart 2010;96(23):1868‐71. [PUBMED: 21062776]

Urponen 1988

Urponen H, Vuori I, Hasan J, Partinen M. Self‐evaluations of factors promoting and disturbing sleep: an epidemiological survey in Finland. Social Science & Medicine 1988;26(4):443‐50. [PUBMED: 3363395]

Vuust 2006

Vuust P, Roepstorff A, Wallentin M, Mouridsen K, Østergaard L. It don't mean a thing...keeping the rhythm during polyrhythmic tension, activates language areas (BA47). NeuroImage 2006;31(2):832‐41.

Vuust 2010

Vuust P, Gebauer L, Hansen NC, Jørgensen SR, Møller A, Linnet J. Personality influences career choice: sensation seeking in professional musicians. Music Education Research 2010;12(2):219‐30.

Walsh 2004

Walsh JK. Clinical and socioeconomic correlates of insomnia. Journal of Clinical Psychiatry 2004;65 Suppl 8:13‐9. [PUBMED: 15153063]

Wang 2014

Wang C‐F, Sun Y‐L, Zang H‐X. Music therapy improves sleep quality in acute and chronic sleep disorders: a meta‐analysis of 10 randomized studies. International Journal of Nursing Studies 2014;51(1):51‐62.

Ware 1992

Ware JE, Sherbourne CD. The MOS 36‐item short‐form health survey (SF‐36): I. Conceptual framework and item selection. Medical Care 1992;30(6):473‐83.

WHO 1992

World Health Organization. International Statistical Classification of Diseases and Related Health Problems (ICD‐10). 10th Edition. Geneva: World Health Organization, 1992.

Wigram 2002

Wigram T, Pedersen IN, Bonde LO. A Comprehensive Guide to Music Therapy: Theory, Clinical Practice, Research and Training. London: Jessica Kingsley Publishers, 2002.

Wilson 2010

Wilson SJ, Nutt DJ, Alford C, Argyropoulos SV, Baldwin DS, Bateson AN, et al. British Association for Psychopharmacology consensus statement on evidence‐based treatment of insomnia, parasomnias and circadian rhythm disorders. Journal of Psychopharmacology 2010;24(11):1577‐601. [PUBMED: 20813762]

Zhang 2012

Zhang JM, Wang P, Yao JX, Zhao L, Davis MP, Walsh D, et al. Music interventions for psychological and physical outcomes in cancer: a systematic review and meta‐analysis. Supportive Care in Cancer 2012;20(12):3043‐53. [PUBMED: 23052912]

Jespersen 2013

Jespersen KV, Koenig J, Jennum P, Vuust P. Listening to music for improving sleep in adults with insomnia. Cochrane Database of Systematic Reviews 2013, Issue 3. [DOI: 10.1002/14651858.CD010459]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Chang 2012

Methods

Randomised controlled trial

Design: 2‐arm parallel group design

Blindness: single‐blinded, technician scoring PSG and researchers responsible for statistical analysis not aware of group allocation

Participants

Adults who experienced insomnia for at least 1 month, documented by a PSQI score > 5

N: 50

Age: mean 32 (SD 11) years; range 22 to 58 years

Sex: 3 males; 47 females

Setting: sleep laboratory

Country: Taiwan

Interventions

  1. Music group (N = 25)

    1. participants were encouraged to bring their own preferred music to listen to (N = 10)

    2. those who did not bring their own music, listened to researcher selected music (N = 15)

  2. Control group (N = 25)

    1. no intervention

Music characteristics: Rural Spring Field, Woman under the Moon (Chinese music), Going Home (Czech music), Destiny, Heart Lotus (Taiwanese music), and Memory (composed by the authors). Tempos ranged from 60 to 85 bpm, minor tonalities, smooth melodies, and no dramatic changes in volume or rhythm. The music was expected to be familiar to participants

Length of sessions: 45 minutes

Frequency of sessions: daily at bedtime

Duration of intervention period: 3 consecutive days

Outcomes

  • Sleep onset latency, minutes (PSG and morning questionnaire)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • TST, minutes (PSG and morning questionnaire)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Sleep interruption, minutes (PSG, wake after sleep onset)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Sleep interruption (PSG and morning questionnaire, number of awakenings)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Sleep efficiency, % (PSG)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Stage 1, % of TST (PSG)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Stage 2, % of TST (PSG)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Stage 3 and 4, % of TST (PSG)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention

  • Stage REM, % of TST (PSG)

    • mean (SD) at baseline

    • GEE analysis estimating group differences post‐intervention.

  • Rested rating (morning questionnaire)

    • not included in this review (not part of primary or secondary outcomes defined in the protocol)

We contacted the author 16 December 2014 to obtain data on the raw post‐scores, but we have not yet received a reply

Notes

Trial start and end dates: the trial was conducted from May 2010 to June 2011

Funding sources: the trial was funded by the National Science Counsil, Taiwan

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Participants were randomly assigned (...), using the drawing of lots" (Chang 2012; p 924)

Allocation concealment (selection bias)

Low risk

"All lots (labels) are packed in a jar that was prepared by another person. Researchers therefore did not know beforehand which group each participant would be assigned to" (Chang 2012; p 924)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is unclear if this affected the objective sleep measures, but likely that it affected the subjective measures of sleep. Blinding of personnel at the sleep laboratory was not reported. Since the intervention was music, it is likely that they were not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The technician scoring the polysomnography and the researchers doing the statistical analyses were not aware to which group the data belonged

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No dropouts and no missing data

Selective reporting (reporting bias)

Unclear risk

We found no published protocol on this study. Sleep efficiency, based on a self‐report questionnaire, was not reported. All other measures of interest were included in the analysis

Other bias

High risk

Baseline differences in measures of depression and self‐reported number of awakenings, with the music group experiencing significantly more depression and arousals than the control group

Harmat 2008

Methods

Randomised controlled trial

Design: 3‐arm parallel group design

Blindness: single blinded, group allocation was coded for the person doing the statistics (Harmat 2014 [pers comm])

Participants

Students with poor sleep documented by PSQI scores > 5

N: 94 (64 included in this review)

Age: mean 22.6 (SD 2.9) years; range 19 to 28 years

Sex: 21 males; 73 females

Setting: homes of the participants

Country: Hungary

Interventions

  1. Music group (N = 35)

    1. participants listened to researcher‐selected classical music

  2. Audiobook group (N = 30) (not included in review)

    1. participants listened to researcher‐selected audio books

  3. Control group (N = 29)

    1. no intervention

Music characteristics: The Most Relaxing Classical (2 CD, Edited by Virgin 1999). Popular pieces from Baroque to Romantic

Length of sessions: 45 minutes

Frequency of sessions: daily at bedtime

Duration of intervention period: 3 weeks

Outcomes

  • Sleep quality (PSQI)

    • mean (SD) at baseline and post‐intervention

  • Depression (BDI)

    • not included in this review since it was not measured in the control group

Notes

Trial start and end dates: the trial was conducted in 2006

Funding sources: the work was supported by the Hungarian Ministry of Education, the National Research Fund (Hungary), the Ferenc Faludi Academy, and the János Bolyai Research Fellowship of the Hungarian Academy of Sciences

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomised using a computerised randomisation table and variable block randomisation

Allocation concealment (selection bias)

Unclear risk

No information on allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is likely that this affected the subjective outcome measures. The intervention was used at home with no personnel involved

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The group allocation was coded (Harmat 2014 [pers comm])

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition in the included groups (Harmat 2014 [pers comm])

Selective reporting (reporting bias)

Low risk

We found no published protocol on this study. Outcomes from the no‐intervention control group were not reported in the publication, but were provided by the first author at request (Harmat 2014 [pers comm]). These data did not alter the results or conclusions of the trial

Other bias

High risk

The trial design involved a difference between the intervention and control group. The intervention group registered sleep quality once a week, whereas the control group only registered sleep quality before and after the intervention period. In addition, the intervention group, but not the control group, was contacted weekly by telephone to assess compliance with the protocol

Jespersen 2012

Methods

Quasi‐randomised controlled trial

Design: 2‐arm parallel group design

Blindness: not blinded

Participants

Traumatised refugees with sleep problems documented by PSQI score > 5

N: 15 (19 included; 4 dropped out)

Age: mean 37 years; range 26 to 57

Sex: 6 males; 9 females

Setting: homes of the participants

Country: Denmark

Interventions

  1. Music group (N = 9)

    1. participants listened to researcher selected music

    2. received a music player designed to be used in bed, including an ergonomic pillow

  2. Control group (N = 6)

    1. participants received an ergonomic pillow, but no music intervention

Music characteristics: MusiCure compilation 'Inducing Sleep' (Tracks 1, 2, and 5; Eje 2004). Tempo 52 bpm, stable dynamic contour and repetitive structure

Instruments: piano, harp, guitar, oboe, cello, and nature sounds (waves and birdsong)

Length of sessions: 60 minutes

Frequency of sessions: daily at bedtime

Duration of intervention period: 3 weeks

Outcomes

  • Sleep quality (PSQI)

    • mean (SD) change scores from baseline to post‐intervention

  • Trauma symptoms

    • not included in this review

  • Well‐being

    • not included in this review

Notes

Trial start and end dates: the trial was conducted in 2010

Funding sources: the work was supported by Trygfonden and the Danish Ministry for Refugee, Immigration and Integration Affairs

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Used an alternation procedure based on gender

Allocation concealment (selection bias)

High risk

Allocation could be foreseen due to the alternation procedure

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is likely that this affected the subjective outcome measures. The intervention was used at home with no personnel involved

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding of outcome assessment

Incomplete outcome data (attrition bias)
All outcomes

High risk

4 participants dropped out. Data from dropouts were excluded in the final analyses. No missing data

Selective reporting (reporting bias)

Low risk

All outcomes were reported and included in the analysis

Other bias

High risk

Baseline difference in sleep quality with the music group experiencing more sleep problems than the control group

Kullich 2003

Methods

Randomised using a computer‐based randomisation list (Kullich 2014b [pers comm])

Design: 2‐arm parallel group design

Blindness: single blinded. Data assessment performed by non‐trial personnel (Kullich 2014b [pers comm])

Participants

Adults with low back pain and sleep difficulties (PSQI scores > 5)

N: 65

Age: mean age reported by group. Music group mean age 47.0 (SD 9.7); control group mean age 49.7 (SD 7.9); range 21 to 68

Sex: 41 males; 24 females

Setting: rehabilitation facility

Country: Austria

Interventions

  1. Music group (N = 32)

    1. participants listened to researcher selected music and relaxation instructions through headphones and received TAU

  2. Control group (N = 33)

    1. participants received TAU

Music characteristics: CD 'Entspannung bei Schmerzen' (Mentalis Verlag, ISBN: 3‐932239‐95‐4). No further information provided

Length of sessions: 25 minutes

Frequency of sessions: once a day, no time specified

Duration of intervention period: 3 weeks +/‐ 2 days

Outcomes

  • Sleep quality (PSQI)

    • mean at baseline and post‐intervention. No SD reported

  • Pain

    • not included in this review

  • Level of disability

    • not included in this review

Notes

Trial start and end dates: there is no information on when the trial was conducted

Funding sources: the trial was supported by the Ludwig Boltzmann Institut (Saalfelden), the Herbert von Karajan Centrum (Wien), Salzburg University, and the Mozart University (Salzburg)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐based randomisation list (Kullich 2014b [pers comm])

Allocation concealment (selection bias)

Low risk

Allocation done by another person (not the doctor) who referred the participant to the trial (Kullich 2014b [pers comm])

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is likely that this affected the subjective measures of sleep. There was no information on the blinding of the personnel at the rehabilitation facility

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Data were assessed by non‐trial personnel (secretary). Data analysis was performed by a researcher who was aware of group allocation, but did not know the patients (Kullich 2014b [pers comm])

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition or missing data (Kullich 2014b [pers comm])

Selective reporting (reporting bias)

Low risk

We found no published protocol on this study, but there was no indication of selective reporting. Measures on sleep quality were reported without SDs in the publication, but these were provided by the first author on request (Kullich 2014a [pers comm]). These data did not alter the conclusions of the trial

Other bias

Low risk

No other risk of bias detected

Lai 2005

Methods

Randomised controlled trial

Design: 2‐arm parallel group design

Blindness: not blinded

Participants

Older adults with sleep problems documented by PSQI scores > 5

N: 60

Age: mean 67 (SD 5) years; range 60 to 83

Sex: not reported

Setting: homes of the participants

Country: Taiwan

Interventions

  1. Music group (N = 30)

    1. participants could choose among 6 types of researcher‐selected sedative music

    2. music was recorded to an audiotape and participants could use earphones or not as preferred

  2. Control group (N = 30)

    1. no intervention

Music characteristics: the choices of music included 5 types of Western music (new age, eclectic, popular oldies, classical, and slow jazz), and 1 type of Chinese music (folk music). Tempos ranged from 60 to 80 bpm without accented beats, percussive characteristics or syncopation. The music was expected to be familiar to the participants

Length of sessions: 45 minutes

Frequency of sessions: daily at bedtime

Duration of intervention period: 3 weeks

Outcomes

  • Sleep quality (PSQI)

    • mean (SD) at baseline and post‐intervention

Notes

Trial start and end date: the trial was conducted in 2000

Funding sources: no information provided

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Permuted block randomisation with sealed envelopes stratified on gender

Allocation concealment (selection bias)

Low risk

"The envelopes were prepared by a different person so that the investigator (first author) was blind to block size and order of assignment" (Lai 2005; p 235)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is likely that this affected the subjective outcome measures. The intervention was used at home with no personnel involved

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding of outcome assessment

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Unclear information on attrition. One man was withdrawn due to hospitalisation. No information on completeness of data

Selective reporting (reporting bias)

Low risk

We found no published protocol on this study, but there was no indication of selective reporting

Other bias

High risk

Baseline differences in 2 sleep component scores with the music group experiencing shorter sleep duration and more daytime dysfunction

Shum 2014

Methods

Randomised controlled trial

Design: 2‐arm parallel group design

Blindness: not blinded

Participants

Older adults with poor sleep quality, documented by PSQI scores > 5

N: 60

Age: mean 64 years; range 57 to 68 years

Sex: 20 males; 40 females

Setting: homes of the participants

Country: Singapore

Interventions

  1. Music group (N = 28)

    1. participants could choose among 4 types of researcher selected music

    2. participants received an MP4 player with earphones

  2. Control group (N = 32)

    1. uninterrupted rest at weekly visit, otherwise no intervention

Music characteristics: the 4 types of researcher selected music included 1) Western classical (Bach: Allemande, Sarabande; Mozart: Romance from Eine kleine Nachtmusik; Chopin: Nocturne); 2), Chinese classical (Spring River in the Moonlight; Variation on Yang Pass); 3) New Age (Shizuki, Lord of the Wind); and 4) Jazz (Everlasting; Winter Wonderland; In Love in Vain). All compositions were soft, with no lyrics, and tempos ranging from 60 to 80 bpm

Length of sessions: 40 minutes

Frequency of sessions: once a day, no time specified

Duration of intervention period: 5 weeks

Outcomes

  • Sleep quality (PSQI)

    • mean (SD) at baseline and post‐intervention

    • GEE analysis

Notes

Trial start and end dates: the trial was conducted from January 2012 to January 2013

Funding sources: no information provided

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Two cards were put inside a bag in each draw, with one labelled as "intervention" and the other as "control". Each participant was asked to draw one card from the bag to allocate him or her into either the intervention or control group" (Shum 2014; p 51)

Allocation concealment (selection bias)

Low risk

The above mentioned procedure makes it unlikely that the allocation was foreseen

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, blinding of participants was not possible. It is likely that this affected the subjective outcome measures. The intervention was used at home with no personnel involved

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding of outcome assessment

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No dropouts and no missing data

Selective reporting (reporting bias)

Unclear risk

We found no published protocol on this study. The primary outcome of sleep quality (PSQI ‐ global scale) was fully reported, but the results of the component scores were not reported, which is common in other trials using the PSQI

Other bias

Low risk

No other risk of bias detected

BDI: Beck Depression Inventory.
BPM: beats per minute.
CD: compact disc.
GEE: generalised estimating equation.
PSG: polysomnograpgh.
PSQI: Pittsburgh Sleep Quality Index.
REM: rapid eye movement.
SD: standard deviation.
TAU: treatment‐as‐usual.
TST: total sleep time.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Abdollahnejad 2006

Not RCT or qRCT (no control group)

Beattie 2013

Intervention not music listening (active music making (choir))

Blanaru 2012

Comparison of 2 interventions (music listening versus muscle relaxation techniques)

Bloch 2010

Not RCT or qRCT (within‐subject design)

Bonebreak 1996

Not a clinical trial (reflections on practice)

Bonnet 2000

Not a clinical trial (experimental trial investigating the impact of music on wakefulness)

Bozcuk 2006

Not RCT or qRCT (no control group)

Breitenfeld 1992

Not RCT or qRCT (no control group)

Chan 2010

Participants not adults with insomnia (not all participants had insomnia. No inclusion criteria of insomnia and PSQI < 5)

Chen 2014

Participants not adults with insomnia (young adults with different sleep latencies. Poor sleepers (PSQI < 5) excluded)

De Niet 2010

Not RCT or qRCT (no randomisation)

Demi̇rbağ 2014

Intervention not music listening (intervention a combination of music, massage, and aromatherapy)

Deshmukh 2009

Comparison of 2 interventions (music listening versus hypnotic medications)

Dorn 2014

Participants not adults with insomnia (infants)

DuRousseau 2011

Not RCT or qRCT (no randomisation)

Field 1999

Participants not adults with insomnia (children)

Gao 2014

Intervention not music listening (comprehensive sleep management including music)

Garunkstiene 2014

Participants not adults with insomnia (infants)

Gitanjali 1998

Not RCT or qRCT (no randomisation). Participants not adults with insomnia (healthy volunteers)

Hu 2015

Participants not adults with insomnia (ICU patients with no documentation of insomnia)

Hérnandez‐Ruíz 2005

Participants not adults with insomnia (some participants were 'good sleepers')

Iwaki 2003

Not RCT or qRCT (no randomisation). Participants not adults with insomnia (healthy university students who normally listened to music at bedtime)

Johnson 2003

Not RCT or qRCT (no control group)

Kayumov 2003

Comparison of 2 interventions (individualized versus non‐individualized 'brain music')

Koenig 2013

Participants not adults with insomnia (healthy university students with no sleep problems)

Lai 2012

Comparison of 2 interventions (live music with nursing presence versus pre‐recorded music)

Lai 2015

Intervention not music listening (music videos)

Lazic 2007

Participants not adults with insomnia (healthy university students)

Levin 1998

Not RCT or qRCT (no randomisation). Comparison of 2 interventions (individualized versus non‐individualized 'brain music')

Lindenmuth 1992

Not RCT or qRCT (within‐subject design comparing healthy adults of old age to older adults with senile dementia of the Alzheimer type)

Liu 2006

Intervention not music listening (vibroacustic intervention)

Loewy 2005

Participants not adults with insomnia (children)

Loewy 2013

Participants not adults with insomnia (infants)

Lü 2008

Not RCT or qRCT (no control group)

Ma 2004

Participants not adults with insomnia (pre‐operative patients with no documentation of insomnia)

Mandel 2007

No sleep outcome measure

Mornhinweg 1995

Not RCT or qRCT (no control group)

Naghdi 2015

Not RCT or qRCT (no control group)

Oxtoby 2013

Participants not adults with insomnia (university students. Around half the participants experienced no sleep problems)

Picard 2014

Not RCT or qRCT (no control group)

Reinhardt 1999

No sleep outcome measure (sleep only registered in intervention group, not control group)

Renzi 2000

Participants not adults with insomnia (post‐operative patients with no documentation of insomnia)

Robinson 2005

Not RCT or qRCT (no control group). Intervention not music listening (combination of interventions, including back rubs, warm drinks, aroma therapy, and relaxation music)

Ryu 2012

Participants not adults with insomnia (patients at cardiac care unit with no documentation of insomnia)

Sithinamsuwan 2012

Participants not adults with insomnia (some participants were 'good sleepers' with PSQI scores < 5)

Skogar 2013

Comparison of 2 interventions (music listening versus tactile touch)

Smith 2004

Not a clinical trial (experimental trial testing the Attentional Behavioral Cognitive (ABC) relaxation theory)

Street 2014

Not RCT or qRCT (no control group)

Su 2013

Participants not adults with insomnia (patients at intensive care unit with unclear documentation of insomnia)

Sørensen 2005

Not RCT or qRCT (no control group)

Tan 2004

Participants not adults with insomnia (children)

Tegeler 2012

Intervention not music listening (feedback of neural EEG‐activity using single tones derived through mathematical algorithms)

Wormit 2012

Not RCT or qRCT (no control group). Intervention not music listening (active music therapy)

Zimmerman 1996

Participants not adults with insomnia (pre‐operative patients with no documentation of insomnia)

Ziv 2008

Comparison of 2 interventions (music listening versus progressive muscular relaxation)

EEG: electroencephalography.
PSQI: Pittsburgh Sleep Quality Index.
qRCT: quasi‐randomised controlled trial.
RCT: randomised controlled trial.

Characteristics of studies awaiting assessment [ordered by study ID]

Miller 2002

Methods

Randomised controlled trial

Participants

Post‐operative patients

Interventions

  1. Music programme

  2. Comparison group

Outcomes

Sleep quality (PSQI)

Well‐being

Consumption of analgesics, hypnotics, and sedatives

Notes

This is an unpublished trial. On 9 September 2014, we requested further information from the author, but have yet to receive a response

PSQI: Pittsburgh Sleep Quality Index.

Characteristics of ongoing studies [ordered by study ID]

NCT02321826

Trial name or title

Music for insomnia

Methods

Randomised controlled trial

Participants

Adults with insomnia

Interventions

  1. Music listening

  2. Audio books

  3. No intervention

Outcomes

Subjective sleep quality (PSQI) and objective sleep measures (PSG + actigraphy)

Starting date

February 2015

Contact information

[email protected]

Notes

NCT02376686

Trial name or title

Music intervention in the treatment of sleep disorders for depressed patients

Methods

Randomised controlled trial

Participants

Inpatients with depression and insomnia

Interventions

  1. Music intervention

  2. Treatment‐as‐usual (TAU)

Outcomes

Subjective sleep quality and objective sleep quality (actigraphy)

Starting date

April 2014

Contact information

k.cattapan@sanatorium‐kilchberg.ch

Notes

Data and analyses

Open in table viewer
Comparison 1. Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment Show forest plot

5

264

Mean Difference (IV, Random, 95% CI)

‐2.80 [‐3.42, ‐2.17]

Analysis 1.1

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.

2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.2

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment.

2.1 Researcher‐selected music

3

144

Mean Difference (IV, Random, 95% CI)

‐2.42 [‐3.24, ‐1.60]

2.2 Participant‐selected music (choice among researcher pre‐selected music)

2

130

Mean Difference (IV, Random, 95% CI)

‐3.35 [‐4.28, ‐2.42]

3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.3

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.

3.1 Music listening alone

3

149

Mean Difference (IV, Random, 95% CI)

‐2.85 [‐3.92, ‐1.78]

3.2 Music listening and relaxation instructions

2

125

Mean Difference (IV, Random, 95% CI)

‐2.64 [‐3.74, ‐1.54]

Study flow diagram
Figuras y tablas -
Figure 1

Study flow diagram

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included trials
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included trials

Risk of bias summary: review authors' judgements about each risk of bias item for each included trial
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included trial

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.
Figuras y tablas -
Figure 4

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.2 Subgroup (PSQI) by music selection ‐ immediately post‐treatment.
Figuras y tablas -
Figure 5

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.2 Subgroup (PSQI) by music selection ‐ immediately post‐treatment.

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.
Figuras y tablas -
Figure 6

Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.
Figuras y tablas -
Analysis 1.1

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment.
Figuras y tablas -
Analysis 1.2

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment.

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.
Figuras y tablas -
Analysis 1.3

Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.

Summary of findings for the main comparison. Listening to music compared to no treatment or treatment‐as‐usual (TAU) for adults with insomnia

Listening to music compared to no treatment or treatment‐as‐usual (TAU) for adults with insomnia

Patient or population: adults with insomnia
Settings: home, sleep lab or rehabilitation centre
Intervention: listening to music
Comparison: no treatment or TAU

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

No treatment or TAU

Listening to music

Sleep quality ‐ immediately post‐treatment
PSQI1. Scale from: 0 to 21

Follow‐up: 21 to 35 days

The mean score in the intervention groups was
2.8 lower
(3.42 lower to 2.17 lower)

264
(5 studies)

⊕⊕⊕⊝
moderate2,3

A lower score indicates better sleep quality (i.e. fewer sleep problems).

The change is about the size of one standard deviation which is considered a clinically relevant change.

The studies included participants with a complaint of poor sleep (PSQI > 5)¹.

Sleep onset latency ‐ immediately post‐treatment
PSG and morning questionnaire

Follow‐up: 3 days

See comment

See comment

50
(1 study)

⊕⊕⊝⊝
low4,5

The one trial reporting this outcome found no evidence of an effect of the intervention.

The data were not available for analysis.

The study included participants that had reported poor sleep for at least one month (PSQI > 5)¹.

Total sleep time ‐ immediately post‐treatment
PSG and morning questionnaire
Follow‐up: 3 days

See comment

See comment

50
(1 study)

⊕⊕⊝⊝
low4,5

The one study reporting this outcome found no evidence of an effect of the intervention.

The data were not available for analysis.

The study included participants that had reported poor sleep for at least one month (PSQI > 5)¹.

Sleep interruption ‐ immediately post‐treatment
PSG and morning questionnaire
Follow‐up: 3 days

See comment

See comment

50
(1 study)

⊕⊕⊝⊝
low4,5

The one study reporting this outcome found no evidence of an effect of the intervention.

The data are not available for analysis.

The study included participants that had reported poor sleep for at least one month (PSQI > 5)¹.

Sleep efficiency ‐ immediately post‐treatment
PSG
Follow‐up: 3 days

See comment

See comment

50
(1 study)

⊕⊕⊝⊝
low4,5

The one study reporting this outcome found no evidence of an effect of the intervention.

The data were not available for analysis.

The study included participants that had reported poor sleep for at least one month (PSQI > 5)¹.

*The basis for the assumed risk (e.g. the median control group risk across studies) 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)
CI: confidence interval; PSG: polysomnography; PSQI: Pittsburgh Sleep Quality Index

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.

1 Pittsburgh Sleep Quality Index. 0 indicates good sleep quality and 21 indicates severe sleep problems. Clinical cut off > 5 (Buysse 1989).
2 Limitations in the design such as inadequate allocation concealment procedures and lack of blinding.
3 The estimated effect is about one standard deviation and can be considered large.
4 Limitations in the design such as lack of blinding.
5 Only one trial measured this outcome.

Figuras y tablas -
Summary of findings for the main comparison. Listening to music compared to no treatment or treatment‐as‐usual (TAU) for adults with insomnia
Comparison 1. Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment Show forest plot

5

264

Mean Difference (IV, Random, 95% CI)

‐2.80 [‐3.42, ‐2.17]

2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

2.1 Researcher‐selected music

3

144

Mean Difference (IV, Random, 95% CI)

‐2.42 [‐3.24, ‐1.60]

2.2 Participant‐selected music (choice among researcher pre‐selected music)

2

130

Mean Difference (IV, Random, 95% CI)

‐3.35 [‐4.28, ‐2.42]

3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

3.1 Music listening alone

3

149

Mean Difference (IV, Random, 95% CI)

‐2.85 [‐3.92, ‐1.78]

3.2 Music listening and relaxation instructions

2

125

Mean Difference (IV, Random, 95% CI)

‐2.64 [‐3.74, ‐1.54]

Figuras y tablas -
Comparison 1. Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score