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Cochrane Database of Systematic Reviews

Altering the availability or proximity of food, alcohol, and tobacco products to change their selection and consumption

Information

DOI:
https://doi.org/10.1002/14651858.CD012573.pub3Copy DOI
Database:
  1. Cochrane Database of Systematic Reviews
Version published:
  1. 04 September 2019see what's new
Type:
  1. Intervention
Stage:
  1. Review
Cochrane Editorial Group:
  1. Cochrane Public Health Group

Copyright:
  1. Copyright © 2019 The Authors. Cochrane Database of Systematic Reviews published by John Wiley & Sons, Ltd. on behalf of The Cochrane Collaboration.
  2. This is an open access article under the terms of the Creative Commons Attribution‐Non‐Commercial Licence, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Authors

  • Gareth J Hollands

    Correspondence to: Behaviour and Health Research Unit, University of Cambridge, Cambridge, UK

    [email protected]

  • Patrice Carter

    Centre for Outcomes Research and Effectiveness, University College London, London, UK

  • Sumayya Anwer

    Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

  • Sarah E King

    Behaviour and Health Research Unit, University of Cambridge, Cambridge, UK

  • Susan A Jebb

    Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK

  • David Ogilvie

    MRC Epidemiology Unit, University of Cambridge, Cambridge, UK

  • Ian Shemilt

    EPPI‐Centre, University College London, London, UK

  • Julian P T Higgins

    Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

  • Theresa M Marteau

    Behaviour and Health Research Unit, University of Cambridge, Cambridge, UK

Contributions of authors

Draft the protocol: all authors
Develop a search strategy: GJH, IS
Search for trials: GJH, PC, IS
Obtain copies of trials: GJH, PC, IS
Select studies for inclusion: GJH, PC, IS, DO
Extract data from studies: GJH, PC, SEK
Enter data into Review Manager 5: GJH, PC, SEK
Carry out the analysis: SA, JPTH
Interpret the analysis: all authors
Draft the final review: all authors

Sources of support

Internal sources

  • King's College London, UK.

    Database access

  • University of Cambridge, UK.

    Computer provision, database access

  • University of Bristol, UK.

    Computer provision

  • University College London, UK.

    Computer provision

External sources

  • Department of Health Policy Research Programme in England ((PR‐UN‐0409‐10109) Policy Research Unit in Behaviour and Health), UK.

    Funding for the protocol

Declarations of interest

Gareth Hollands declares no financial or other conflicts of interest.

Patrice Carter declares no financial or other conflicts of interest.

Sumayya Anwer declares no financial or other conflicts of interest.

Sarah King declares no financial or other conflicts of interest.

Susan Jebb declares no financial or other conflicts of interest.

David Ogilvie declares no financial or other conflicts of interest.

Ian Shemilt declares no financial or other conflicts of interest.

Julian Higgins declares no financial or other conflicts of interest.

Theresa Marteau declares no financial or other conflicts of interest.

Acknowledgements

Production of this review was funded by the National Institute for Health Research Policy Research Programme (Policy Research Unit in Behaviour and Health (PR‐UN‐0409‐10109)). The funders had no role in the study design, data collection, analysis, or interpretation. The views expressed in this publication are those of the authors and not necessarily those of the funders,
the NHS, the National Institute for Health Research, the Department of Health and Social Care or its arm's length bodies, and other Government Departments. We would like to acknowledge the contributions of Julie Glanville (York Health Economics Consortium, University of York, UK), who reviewed a draft of our MEDLINE search strategy; Claire Stansfield (EPPI‐Centre, UCL Institute of Education, UK), who helped to develop our search strategy for the TRoPHI database; and Patrick Condron (Information Specialist, Cochrane Public Health Group), who reviewed further iterations of our MEDLINE and Embase strategies. We would like to thank Jodie Doyle (Managing Editor) and colleagues in the Cochrane Public Health Group. We would like to thank colleagues at the EPPI‐Centre, UCL Institute of Education, UK, in particular James Thomas and Sergio Graziosi, for their help in developing technological solutions and managing those processes in order to implement a workable study identification process.

Version history

Published

Title

Stage

Authors

Version

2019 Sep 04

Altering the availability or proximity of food, alcohol, and tobacco products to change their selection and consumption

Review

Gareth J Hollands, Patrice Carter, Sumayya Anwer, Sarah E King, Susan A Jebb, David Ogilvie, Ian Shemilt, Julian P T Higgins, Theresa M Marteau

https://doi.org/10.1002/14651858.CD012573.pub3

2019 Aug 27

Altering the availability or proximity of food, alcohol, and tobacco products to change their selection and consumption

Review

Gareth J Hollands, Patrice Carter, Sumayya Anwer, Sarah E King, Susan A Jebb, David Ogilvie, Ian Shemilt, Julian P T Higgins, Theresa M Marteau

https://doi.org/10.1002/14651858.CD012573.pub2

2017 Mar 01

Altering the availability or proximity of food, alcohol and tobacco products to change their selection and consumption

Protocol

Gareth J Hollands, Patrice Carter, Ian Shemilt, Theresa M Marteau, Susan A Jebb, Julian Higgins, David Ogilvie

https://doi.org/10.1002/14651858.CD012573

Differences between protocol and review

1. Methods ‐ Types of studies: We excluded randomised studies that had only a single participating site with site‐level data in the intervention and/or the comparator group because this would result in the treatment effect being completely confounded with the site characteristics.

Notes

This Review contains articles on which Brian Wansink (John Dyson Professor of Marketing at Cornell University) was an author, who is known to have committed academic misconduct (https://www.bmj.com/content/363/bmj.k4309). Seventeen of his articles have been retracted as of 9th August 2019 (http://retractiondatabase.org/RetractionSearch.aspx#?auth%3dWansink). None of the 17 retracted articles authored by Wansink have been included in this Cochrane Review. The results and conclusions of the review are therefore not affected. However, four articles on which Wansink is an author, and which have not been retracted, were included in this review, and two of these four articles contributed data to the primary meta‐analyses. These retractions introduce additional uncertainty regarding the veracity of other studies Wansink has authored, including those contributing to this review. Should any study included in this review be retracted, we will withdraw that study’s data from updated meta‐analyses conducted as part of future updates of this Cochrane review.

Keywords

MeSH

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Final conceptual model. Changes from the provisional conceptual model (Hollands 2017b), comprising two additions, are shown in red type.
Figures and Tables -
Figure 1

Final conceptual model. Changes from the provisional conceptual model (Hollands 2017b), comprising two additions, are shown in red type.

Study flow diagram.
Figures and Tables -
Figure 2

Study flow diagram.

Forest plot of the standardised mean difference (SMD) in selection with higher (intervention 1) versus lower (intervention 2) availability of food products (i.e. more versus fewer options).
Figures and Tables -
Figure 3

Forest plot of the standardised mean difference (SMD) in selection with higher (intervention 1) versus lower (intervention 2) availability of food products (i.e. more versus fewer options).

Forest plot of the standardised mean difference (SMD) in consumption with higher (intervention 1) versus lower (intervention 2) availability of food products (i.e. more versus fewer options).
Figures and Tables -
Figure 4

Forest plot of the standardised mean difference (SMD) in consumption with higher (intervention 1) versus lower (intervention 2) availability of food products (i.e. more versus fewer options).

Forest plot of the standardised mean difference (SMD) in consumption with higher (intervention 1) versus lower (intervention 2) proximity of food products (i.e. placed nearer versus farther away).
Figures and Tables -
Figure 5

Forest plot of the standardised mean difference (SMD) in consumption with higher (intervention 1) versus lower (intervention 2) proximity of food products (i.e. placed nearer versus farther away).

Funnel plot for meta‐analysis of consumption with higher versus lower proximity.
Figures and Tables -
Figure 6

Funnel plot for meta‐analysis of consumption with higher versus lower proximity.

Summary of findings for the main comparison. Lower versus higher availability (i.e. fewer versus more options) of food products for changing quantity of food selected or consumed

Lower versus higher availability of food products for changing quantity of food selected or consumed

Population: Adults and children
Setting: Field and laboratory settings
Intervention: Lower availability of food products (fewer options)
Comparison: Higher availability of food products (more options)

Outcomes

Illustrative comparative risks (95% CI)

Relative effect
(95% CI)

Number of participants
(studies; comparisons)

Certainty of evidence
(GRADE)

Assumed risk: higher availability of food products (more options)

Corresponding risk: lower availability of food products (fewer options)

Selection

Mean energy selected on an average snack occasion of 200 (±63) kcal1

Mean energy selected on an average snack occasion would be 71 kcal (35.6%) less with lower availability (120 kcal fewer to 23 kcal fewer; 59.9% less to 11.7% less).

Mean selection in the lower availability group was 1.13 standard deviations lower (1.90 lower to 0.37 lower).

154
(3 RCTs; 3 comparisons)

⊕⊕⊝⊝
LOW 2 3

Consumption

Mean energy intake on an average snack occasion of 200 (±63) kcal

Mean energy intake on an average snack occasion would be 35 kcal (17.3%) less with lower availability (80 kcal fewer to 11 kcal more; 40% less to 5.7% more).

Mean consumption in the lower availability group was 0.55 standard deviations lower (1.27 lower to 0.18 more).

150
(2 RCTs; 3 comparisons)

⊕⊕⊝⊝
LOW 2 4

The basis for the assumed risk is provided in Footnotes.5 The corresponding risk (and its 95% confidence interval) is based on the assumed risk and the relative effect of the intervention (and its 95% CI). The relative effect is derived from the primary random‐effects meta‐analysis for the outcome.

CI: confidence interval; kcal: kilocalories; RCT: randomised controlled trial

GRADE Working Group grades of evidence
High certainty: The current evidence provides a very good indication of the likely effect, and the likelihood that the actual effect will be substantially different is low.
Moderate certainty: The current evidence provides a good indication of the likely effect, and the likelihood that the actual effect of the treatment will not be substantially different is moderate.
Low certainty: The current evidence provides some indication of the likely effect, but the likelihood that the actual effect will be substantially different is high.
Very low certainty: The current evidence does not provide a reliable indication of the likely effect, and the likelihood that the actual effect will be substantially different is very high.

1Assumes that all foods selected are consumed.
2Downgraded by one level for study limitations: study‐level estimates of this effect were judged to have significant concerns related to risk of bias.
3Downgraded by one level for imprecision: the number of participants (effective sample size) incorporated into analysis is less than the number of participants required by a conventional sample size calculation for a single adequately powered trial (optimal information size), and confidence intervals are wide.
4Downgraded by one level for imprecision: the number of participants (effective sample size) incorporated into analysis is less than the number of participants required by a conventional sample size calculation for a single adequately powered trial (optimal information size). The confidence intervals are wide and include the possibility of a small effect on increasing consumption.
5Estimates of variance are based on data from a representative sample of UK adults, from the UK National Diet and Nutrition Survey Years 7‐8 (Public Health England 2018a); see Effects of interventions for details.

Figures and Tables -
Summary of findings for the main comparison. Lower versus higher availability (i.e. fewer versus more options) of food products for changing quantity of food selected or consumed
Summary of findings 2. Lower versus higher proximity (i.e. placed farther away versus placed nearer) of food products for changing quantity of food selected or consumed

Lower versus higher proximity of food products for changing quantity of food selected or consumed

Patient or population: Adults and children
Setting: Field and laboratory settings
Intervention: Lower proximity of food products (placed farther away)
Comparison: Higher proximity of food products (placed nearer)

Outcomes

Illustrative comparative risks (95% CI)

Relative effect
(95% CI)

Number of participants
(studies; comparisons)

Certainty of evidence
(GRADE)

Assumed risk: higher proximity of food products (placed nearer)

Corresponding risk: lower proximity of food products (placed farther away)

Selection

Mean energy selected on an average snack occasion of 200 (±63) kcal1

Mean energy selected on an average snack occasion would be 41 kcal (20.5%) less with lower proximity (81 kcal fewer to 1 kcal fewer; 40.6% less to 0.3% less).

Mean selection in the lower proximity group was 0.65 standard deviations lower (1.29 lower to 0.01 lower).

41 (1 RCT; 1 comparison)

⊕⊝⊝⊝
VERY LOW 2 3 4

Consumption

Mean energy intake on an average snack occasion of 200 (±63) kcal

Mean energy intake on an average snack occasion would be 38 kcal (18.9%) less with lower proximity (53 kcal fewer to 23 kcal fewer; 26.5% less to 11.3% less).

Mean consumption in the lower availability group was 0.60 standard deviations lower (0.84 lower to 0.36 lower).

1098 (12 RCTs; 15 comparisons)

⊕⊕⊝⊝
LOW 2 5

The basis for the assumed risk is provided in Footnotes.6 The corresponding risk (and its 95% confidence interval) is based on the assumed risk and the relative effect of the intervention (and its 95% CI). The relative effect is derived from the primary random‐effects meta‐analysis for the outcome.

CI: confidence interval; kcal: kilocalories; RCT: randomised controlled trial

GRADE Working Group grades of evidence
High certainty: The current evidence provides a very good indication of the likely effect, and the likelihood that the actual effect will be substantially different is low.
Moderate certainty: The current evidence provides a good indication of the likely effect, and the likelihood that the actual effect of the treatment will not be substantially different is moderate.
Low certainty: The current evidence provides some indication of the likely effect, but the likelihood that the actual effect will be substantially different is high.
Very low certainty: The current evidence does not provide a reliable indication of the likely effect, and the likelihood that the actual effect will be substantially different is very high.

1Assumes that all foods selected are consumed.
2Downgraded by one level for study limitations: study‐level estimates of this effect were judged to have significant concerns related to risk of bias.
3Downgraded by one level for imprecision: the effect estimate derives from a single small study.
4Downgraded by one level for indirectness: all data derived from a study conducted in a laboratory setting, meaning it may be less directly informative to real‐world implementation of the intervention.
5Downgraded by one level for publication bias: formal assessment of the degree of asymmetry present in a funnel plot suggested the presence of publication bias.
6Estimates of variance are based on data from a representative sample of UK adults, from the UK National Diet and Nutrition Survey Years 7‐8 (Public Health England 2018a); see Effects of interventions for details.

Figures and Tables -
Summary of findings 2. Lower versus higher proximity (i.e. placed farther away versus placed nearer) of food products for changing quantity of food selected or consumed
Table 1. 'Risk of bias' assessments

Study

Bias arising from the randomisation process

Bias arising from the timing of identification and recruitment of individual participants in relation to timing of randomisation (CRCT only)

Bias due to deviations from intended interventions

Bias due to missing outcome data

Bias in measurement of the outcome

Bias in selection of the reported result

Overall risk of bias (selection)

Overall risk of bias (consumption)

Availability studies

Fiske 2004

Some concerns

Low risk

Low risk

Low risk

Low risk

Low risk

Some concerns

N/A

Foster 2014

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk

N/A

Kocken 2012

Some concerns

Low risk

Low risk

Low risk

Low risk

Low risk

Some concerns

N/A

Pechey 2019

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

Some concerns

N/A

Roe 2013

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

Some concerns

Some concerns

Stubbs 2001

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Proximity studies

Cohen 2015

Some concerns

Low risk

Low risk

Low risk

Low risk

Low risk

Some concerns

Some concerns

Engell 1996 (S1)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Engell 1996 (S2)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Greene 2017

Some concerns

Low risk

Low risk

Low risk

Low risk

Low risk

Some concerns

Some concerns

Hunter 2018 (S1)

Low risk

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Low risk

Hunter 2018 (S2)

Low risk

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Low risk

Hunter 2019

Low risk

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Low risk

Kongsbak 2016

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

Some concerns

N/A

Langlet 2017

Some concerns

Low risk

Low risk

Low risk

Low risk

Low risk

Some concerns

Some concerns

Maas 2012 (S1)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Maas 2012 (S2)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Musher‐Eizenman 2010

Some concerns

N/A

Low risk

Some concerns

Low risk

Low risk

N/A

High risk

Painter 2002

Some concerns

N/A

Some concerns

Low risk

Low risk

Low risk

N/A

Some concerns

Privitera 2012 (S1)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Privitera 2012 (S2)

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Privitera 2014

Some concerns

N/A

Low risk

Low risk

Low risk

Low risk

N/A

Some concerns

Wansink 2006

Some concerns

N/A

Some concerns

Low risk

Low risk

Low risk

N/A

Some concerns

Wansink 2013a

High risk

N/A

Low risk

Low risk

Low risk

Low risk

High risk

N/A

CRCT: cluster‐randomised controlled trials

Justifications for assessments are available at the following (http://dx.doi.org/10.6084/m9.figshare.9159824)

Figures and Tables -
Table 1. 'Risk of bias' assessments