Evidence map›Paper›PMID 31079142›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2020

Food Environment Research in Low- and Middle-Income Countries: A Systematic Scoping Review.

Christopher Turner, Sofia Kalamatianou, Adam Drewnowski, Bharati Kulkarni, Sanjay Kinra, Suneetha Kadiyala

Erratum issuedAbstract readScoping Review
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 146 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 9 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

146 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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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  4. Food environment research in Canada: a rapid review of methodologies and measures deployed between 2010 and 2021.The international journal of behavioral nutrition and physical activity · 2024
    Pooled it
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  9. Measurement Methods Used to Assess the School Food Environment: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  10. Inequities in Children's Food Environment: A Comparison between Slum and Non-slum Settings in Urban Bangladesh.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Christopher TurnerLondon School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, Department of Population Health, London, United Kingdom.
Sofia KalamatianouLondon School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, Department of Population Health, London, United Kingdom.
Adam DrewnowskiUniversity of Washington, Department of Nutritional Sciences, Center for Public Health Nutrition, Seattle, WA.
Bharati KulkarniNational Institute of Nutrition, Tarnaka, Hyderabad, Telangana, India.
Sanjay KinraLondon School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, Department of Population Health, London, United Kingdom.
Suneetha KadiyalaLondon School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, Department of Population Health, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food environment research is increasingly gaining prominence in low- and middle-income countries (LMICs). However, in the absence of a systematic review of the literature, little is known about the emerging body of evidence from these settings. This systematic scoping review aims to address this gap. A systematic search of 6 databases was conducted in December 2017 and retrieved 920 records. In total, 70 peer-reviewed articles met the eligibility criteria and were included. Collectively, articles spanned 22 LMICs, including upper-middle-income countries (n = 49, 70%) and lower-middle-income countries (n = 18, 26%). No articles included low-income countries. Articles featured quantitative (n = 45, 64%), qualitative (n = 17, 24%), and mixed-method designs (n = 11, 8%). Studies analyzed the food environment at national, community, school, and household scales. Twenty-three articles (55%) assessed associations between food environment exposures and outcomes of interest, including diets (n = 14), nutrition status (n = 13), and health (n = 1). Food availability was associated with dietary outcomes at the community and school scales across multiple LMICs, although associations varied by vendor type. Evidence regarding associations between the food environment and nutrition and health outcomes was inconclusive. The paucity of evidence from high-quality studies is a severe limitation, highlighting the critical need for improved study designs and standardized methods and metrics. Future food environment research must address low-income and lower-middle-income countries, and include the full spectrum of dietary, nutrition, and health outcomes. Improving the quality of food environment research will be critical to the design of feasible, appropriate, and effective interventions to improve public health nutrition in LMICs.

Indexed as

DietEnvironmentHealth StatusNutritional StatusPovertyDeveloping CountriesDiet, HealthyFood SupplyHumansIncomeNutrition DisordersSchoolsdietsdouble burden of malnutritionfood and nutrition securityfood desertfood environmenthealthlow- and middle-income countriesnutritionnutrition environmentobesogenic environment

Identifiers

PMID31079142
PMCPMC7442349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.