Literature DB >> 31452193

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

Gareth J Hollands1, Patrice Carter, Sumayya Anwer, Sarah E King, Susan A Jebb, David Ogilvie, Ian Shemilt, Julian P T Higgins, Theresa M Marteau.   

Abstract

BACKGROUND: Overconsumption of food, alcohol, and tobacco products increases the risk of non-communicable diseases. Interventions to change characteristics of physical micro-environments where people may select or consume these products - including shops, restaurants, workplaces, and schools - are of considerable public health policy and research interest. This review addresses two types of intervention within such environments: altering the availability (the range and/or amount of options) of these products, or their proximity (the distance at which they are positioned) to potential consumers.
OBJECTIVES: 1. To assess the impact on selection and consumption of altering the availability or proximity of (a) food (including non-alcoholic beverages), (b) alcohol, and (c) tobacco products.2. To assess the extent to which the impact of these interventions is modified by characteristics of: i. studies, ii. interventions, and iii. SEARCH
METHODS: We searched CENTRAL, MEDLINE, Embase, PsycINFO, and seven other published or grey literature databases, as well as trial registries and key websites, up to 23 July 2018, followed by citation searches. SELECTION CRITERIA: We included randomised controlled trials with between-participants (parallel group) or within-participants (cross-over) designs. Eligible studies compared effects of exposure to at least two different levels of availability of a product or its proximity, and included a measure of selection or consumption of the manipulated product. DATA COLLECTION AND ANALYSIS: We used a novel semi-automated screening workflow and applied standard Cochrane methods to select eligible studies, collect data, and assess risk of bias. In separate analyses for availability interventions and proximity interventions, we combined results using random-effects meta-analysis and meta-regression models to estimate summary effect sizes (as standardised mean differences (SMDs)) and to investigate associations between summary effect sizes and selected study, intervention, or participant characteristics. We rated the certainty of evidence for each outcome using GRADE. MAIN
RESULTS: We included 24 studies, with the majority (20/24) giving concerns about risk of bias. All of the included studies investigated food products; none investigated alcohol or tobacco. The majority were conducted in laboratory settings (14/24), with adult participants (17/24), and used between-participants designs (19/24). All studies were conducted in high-income countries, predominantly in the USA (14/24).Six studies investigated availability interventions, of which two changed the absolute number of different options available, and four altered the relative proportion of less-healthy (to healthier) options. Most studies (4/6) manipulated snack foods or drinks. For selection outcomes, meta-analysis of three comparisons from three studies (n = 154) found that exposure to fewer options resulted in a large reduction in selection of the targeted food(s): SMD -1.13 (95% confidence interval (CI) -1.90 to -0.37) (low certainty evidence). For consumption outcomes, meta-analysis of three comparisons from two studies (n = 150) found that exposure to fewer options resulted in a moderate reduction in consumption of those foods, but with considerable uncertainty: SMD -0.55 (95% CI -1.27 to 0.18) (low certainty evidence).Eighteen studies investigated proximity interventions. Most (14/18) changed the distance at which a snack food or drink was placed from the participants, whilst four studies changed the order of meal components encountered along a line. For selection outcomes, only one study with one comparison (n = 41) was identified, which found that food placed farther away resulted in a moderate reduction in its selection: SMD -0.65 (95% CI -1.29 to -0.01) (very low certainty evidence). For consumption outcomes, meta-analysis of 15 comparisons from 12 studies (n = 1098) found that exposure to food placed farther away resulted in a moderate reduction in its consumption: SMD -0.60 (95% CI -0.84 to -0.36) (low certainty evidence). Meta-regression analyses indicated that this effect was greater: the farther away the product was placed; when only the targeted product(s) was available; when participants were of low deprivation status; and when the study was at high risk of bias. AUTHORS'
CONCLUSIONS: The current evidence suggests that changing the number of available food options or altering the positioning of foods could contribute to meaningful changes in behaviour, justifying policy actions to promote such changes within food environments. However, the certainty of this evidence as assessed by GRADE is low or very low. To enable more certain and generalisable conclusions about these potentially important effects, further research is warranted in real-world settings, intervening across a wider range of foods - as well as alcohol and tobacco products - and over sustained time periods.

Entities:  

Mesh:

Year:  2019        PMID: 31452193      PMCID: PMC6710643          DOI: 10.1002/14651858.CD012573.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  154 in total

1.  Increasing frequency of lower-fat entrees offered at school lunch: an environmental change strategy to increase healthful selections.

Authors:  John B Bartholomew; Esbelle M Jowers
Journal:  J Am Diet Assoc       Date:  2006-02

2.  A food store-based environmental intervention is associated with reduced BMI and improved psychosocial factors and food-related behaviors on the Navajo nation.

Authors:  Joel Gittelsohn; Elizabeth M Kim; Siran He; Marla Pardilla
Journal:  J Nutr       Date:  2013-07-17       Impact factor: 4.798

3.  The impact of school fruit tuck shops and school food policies on children's fruit consumption: a cluster randomised trial of schools in deprived areas.

Authors:  L Moore; K Tapper
Journal:  J Epidemiol Community Health       Date:  2008-05-15       Impact factor: 3.710

4.  Changes in BMI and blood pressure after a school based intervention: the CHILDREN study.

Authors:  P D Angelopoulos; H J Milionis; E Grammatikaki; G Moschonis; Y Manios
Journal:  Eur J Public Health       Date:  2009-02-10       Impact factor: 3.367

5.  Dietary variety impairs habituation in children.

Authors:  Jennifer L Temple; April M Giacomelli; James N Roemmich; Leonard H Epstein
Journal:  Health Psychol       Date:  2008-01       Impact factor: 4.267

6.  Healthy snacks at the checkout counter: a lab and field study on the impact of shelf arrangement and assortment structure on consumer choices.

Authors:  Ellen van Kleef; Kai Otten; Hans C M van Trijp
Journal:  BMC Public Health       Date:  2012-12-12       Impact factor: 3.295

7.  Evaluation of a pilot healthy eating intervention in restaurants and food stores of a rural community: a randomized community trial.

Authors:  Ana P Martínez-Donate; Ann Josie Riggall; Amy M Meinen; Kristen Malecki; Anne L Escaron; Bev Hall; Anne Menzies; Gary Garske; F Javier Nieto; Susan Nitzke
Journal:  BMC Public Health       Date:  2015-02-12       Impact factor: 3.295

8.  Development and implementation of the Baltimore healthy carry-outs feasibility trial: process evaluation results.

Authors:  Seung Hee Lee-Kwan; Sonja Goedkoop; Rachel Yong; Benjamin Batorsky; Vanessa Hoffman; Jayne Jeffries; Mohamed Hamouda; Joel Gittelsohn
Journal:  BMC Public Health       Date:  2013-07-09       Impact factor: 3.295

Review 9.  Altering the availability of products within physical micro-environments: a conceptual framework.

Authors:  Rachel Pechey; Gareth J Hollands; Patrice Carter; Theresa M Marteau
Journal:  BMC Public Health       Date:  2020-06-29       Impact factor: 3.295

10.  Open science prevents mindless science.

Authors:  Marcus R Munafò; Gareth J Hollands; Theresa M Marteau
Journal:  BMJ       Date:  2018-10-15
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  13 in total

1.  Impact of increasing vegetarian availability on meal selection and sales in cafeterias.

Authors:  Emma E Garnett; Andrew Balmford; Chris Sandbrook; Mark A Pilling; Theresa M Marteau
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-30       Impact factor: 11.205

2.  Increasing availability of lower energy meals vs. energy labelling in virtual full-service restaurants: two randomized controlled trials in participants of higher and lower socioeconomic position.

Authors:  Lucile Marty; Sasha M Reed; Andrew J Jones; Eric Robinson
Journal:  BMC Public Health       Date:  2021-05-25       Impact factor: 3.295

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

Authors:  Gareth J Hollands; Patrice Carter; Sumayya Anwer; Sarah E King; Susan A Jebb; David Ogilvie; Ian Shemilt; Julian P T Higgins; Theresa M Marteau
Journal:  Cochrane Database Syst Rev       Date:  2019-09-04

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

Authors:  Gareth J Hollands; Patrice Carter; Sumayya Anwer; Sarah E King; Susan A Jebb; David Ogilvie; Ian Shemilt; Julian P T Higgins; Theresa M Marteau
Journal:  Cochrane Database Syst Rev       Date:  2019-08-27

Review 5.  Nutritional labelling for healthier food or non-alcoholic drink purchasing and consumption.

Authors:  Rachel A Crockett; Sarah E King; Theresa M Marteau; A T Prevost; Giacomo Bignardi; Nia W Roberts; Brendon Stubbs; Gareth J Hollands; Susan A Jebb
Journal:  Cochrane Database Syst Rev       Date:  2018-02-27

6.  Impact of bottle size on in-home consumption of wine: feasibility and acceptability randomised cross-over study.

Authors:  Eleni Mantzari; Catherine Galloway; Gareth Hollands; Rachel Pechey; Zorana Zupan; Mark Pilling; Theresa Marteau
Journal:  Pilot Feasibility Stud       Date:  2020-02-11

Review 7.  The effects of nudges on purchases, food choice, and energy intake or content of purchases in real-life food purchasing environments: a systematic review and evidence synthesis.

Authors:  Marjolein C Harbers; Joline W J Beulens; Femke Rutters; Femke de Boer; Marleen Gillebaart; Ivonne Sluijs; Yvonne T van der Schouw
Journal:  Nutr J       Date:  2020-09-17       Impact factor: 3.271

8.  Seeing the food swamp for the weeds: Moving beyond food retail mix in evaluating young people's food environments.

Authors:  Jennifer Ann Brown; Alexa R Ferdinands; Rachel Prowse; Darcy Reynard; Kim D Raine; Candace I J Nykiforuk
Journal:  SSM Popul Health       Date:  2021-04-26

9.  Determinants of Food Choice and Perceptions of Supermarket-Based Nudging Interventions among Adults with Low Socioeconomic Position: The SUPREME NUDGE Project.

Authors:  Marjolein C Harbers; Cédric N H Middel; Josine M Stuber; Joline W J Beulens; Femke Rutters; Yvonne T van der Schouw
Journal:  Int J Environ Res Public Health       Date:  2021-06-07       Impact factor: 3.390

10.  Increasing the proportion of healthier foods available with and without reducing portion sizes and energy purchased in worksite cafeterias: protocol for a stepped-wedge randomised controlled trial.

Authors:  James P Reynolds; Daina Kosīte; Brier Rigby Dames; Laura A Brocklebank; Mark Pilling; Rachel Pechey; Gareth J Hollands; Theresa M Marteau
Journal:  BMC Public Health       Date:  2019-12-02       Impact factor: 3.295

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