Evidence map›Paper›PMID 38966119›Full record

ArticleBMJ nutrition, prevention & health2024

Food environment and obesity: a systematic review and meta-analysis.

Elisa Pineda, Jemima Stockton, Shaun Scholes, Camille Lassale, Jennifer S Mindell

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Effectiveness of Partnerships With Commercial Actors to Improve Food Environments: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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  3. An Ecological Study of Neighborhood Food Retail Environment and Obesity Prevalence in Urban Slums of Bhopal, India.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Elisa PinedaThe George Institute for Global Health UK, Imperial College London, London, UK.ORCID 0000-0002-5210-1538
Jemima StocktonResearch Department of Epidemiology and Public Health, University College London, London, UK.
Shaun ScholesResearch Department of Epidemiology and Public Health, University College London, London, UK.
Camille LassaleBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Jennifer S MindellResearch Department of Epidemiology and Public Health, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is influenced by a complex, multifaceted system of determinants, including the food environment. Governments need evidence to act on improving the food environment. The aim of this study was to review the evidence from spatial environmental analyses and to conduct the first series of meta-analyses to assess the impact of the retail food environment on obesity. Methods: We performed a systematic review and random-effects meta-analyses, focusing on geographical-statistical methods to assess the associations between food outlet availability and obesity. We searched OvidSP-Medline, Scielo, Scopus and Google Scholar databases up to January 2022. The search terms included spatial analysis, obesity and the retail food environment. Effect sizes were pooled by random-effects meta-analyses separately according to food outlet type and geographical and statistical measures. Findings: Of the 4118 retrieved papers, we included 103 studies. Density (n=52, 50%) and linear and logistic regressions (n=68, 66%) were the main measures used to assess the association of the food environment with obesity. Multilevel or autocorrelation analyses were used in 35 (34%) studies. Fast-food outlet proximity was positively and significantly associated with obesity (OR: 1.15, 95% CI: 1.02 to 1.30, p=0.02). Fresh fruit and vegetable outlet density and supermarket proximity were inversely associated with obesity (OR: 0.93, 95% CI: 0.90 to 0.96, p<0.001; OR: 0.90, 95% CI: 0.82 to 0.98, p=0.02). No significant associations were found for restaurants, convenience stores or any of the body mass index measures. Conclusions: Food outlets which sell mostly unhealthy and ultra-processed foods were associated with higher levels of obesity, while fruit and vegetable availability and supermarket accessibility, which enable healthier food access, were related to lower levels of obesity. The regulation of food outlets through zoning laws may not be enough to tackle the burden of obesity. Regulations that focus on increasing the availability of healthy food within stores and ensure overall healthy food environments require further attention. PROSPERO registration number: CRD42018111652.

Indexed as

Malnutrition

Identifiers

PMID38966119
PMCPMC11221287

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.