Evidence map›Paper›PMID 35252534›Full record

ArticleSSM - population health2022

Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities.

Petya Atanasova, Dian Kusuma, Elisa Pineda, Ranjit Mohan Anjana, Laksara De Silva, Abu A M Hanif, Mehedi Hasan, Md Mokbul Hossain, Susantha Indrawansa, Deepal Jayamanne and 11 more

Abstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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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

21 authors.

Petya AtanasovaCentre for Health Economics & Policy Innovation, Imperial College Business School, London, UK.
Dian KusumaCentre for Health Economics & Policy Innovation, Imperial College Business School, London, UK.
Elisa PinedaCentre for Health Economics & Policy Innovation, Imperial College Business School, London, UK.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation, Chennai, India.
Laksara De SilvaFaculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Abu A M HanifCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Mehedi HasanCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Md Mokbul HossainCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Susantha IndrawansaFaculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Deepal JayamanneFaculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Sujeet JhaMax Healthcare, New Delhi, India.
Anuradhani KasturiratneFaculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Prasad KatulandaFaculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Khadija I KhawajaServices Institute of Medical Sciences, Lahore, Pakistan.
Balachandran KumarendranFaculty of Medicine, University of Jaffna, Kokkuvil, Sri Lanka.
Malay K MridaCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Vindya RajakarunaFaculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
John C ChambersSchool of Public Health, Imperial College London, London, UK.
Gary FrostFaculty of Medicine, Imperial College London, London, UK.
Franco SassiCentre for Health Economics & Policy Innovation, Imperial College Business School, London, UK.
Marisa MiraldoCentre for Health Economics & Policy Innovation, Imperial College Business School, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn low-middle income countries (LMICs) the role of food environments on obesity has been understudied. We address this gap by 1) examining the effect of food environments on adults' body size (BMI, waist circumference) and obesity; 2) measuring the heterogeneity of such effects by income and sex.

methodsThis cross-sectional study analysed South Asia Biobank surveillance and environment mapping data for 12,167 adults collected between 2018 and 2020 from 33 surveillance sites in Bangladesh and Sri Lanka. Individual-level data (demographic, socio-economic, and health characteristics) were combined with exposure to healthy and unhealthy food environments measured with geolocations of food outlets (obtained through ground-truth surveys) within 300 m buffer zones around participants' homes. Multivariate regression models were used to assess association of exposure to healthy and unhealthy food environments on waist circumference, BMI, and probability of obesity for the total sample and stratified by sex and income.

findingsThe presence of a higher share of supermarkets in the neighbourhood was associated with a reduction in body size (BMI, β = - 3∙23; p < 0∙0001, and waist circumference, β = -5∙99; p = 0∙0212) and obesity (Average Marginal Effect (AME): -0∙18; p = 0∙0009). High share of fast-food restaurants in the neighbourhood was not significantly associated with body size, but it significantly increased the probability of obesity measured by BMI (AME: 0∙09; p = 0∙0234) and waist circumference (AME: 0∙21; p = 0∙0021). These effects were stronger among females and low-income individuals.

interpretationThe results suggest the availability of fast

Indexed as

BMIFood environmentLow- and middle- income countriesObesitySouth Asia

Identifiers

PMID35252534
PMCPMC8894230

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.