IRUS Total

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

File Description SizeFormat 
1-s2.0-S2352827322000349-main.pdfPublished version1.19 MBAdobe PDFView/Open
Title: Food environments and obesity: a geospatial analysis of the South Asia Biobank, income and sex inequalities.
Authors: Atanasova, P
Kusuma, D
Pineda, E
Anjana, RM
De Silva, L
Hanif, AAM
Hasan, M
Hossain, MM
Indrawansa, S
Jayamanne, D
Jha, S
Kasturiratne, A
Katulanda, P
Khawaja, KI
Kumarendran, B
Mrida, MK
Rajakaruna, V
Chambers, JC
Frost, G
Sassi, F
Miraldo, M
Item Type: Journal Article
Abstract: Introduction: In 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. Methods: This 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. Findings: The 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. Interpretation: The results suggest the availability of fast-food outlets influences obesity, especially among female and lower-income groups. The availability of supermarkets is associated with reduced body size and obesity, but their effects do not outweigh the role of fast-food outlets. Policies should target food environments to promote better diets and reduce obesity.
Issue Date: Mar-2022
Date of Acceptance: 21-Feb-2022
URI: http://hdl.handle.net/10044/1/95424
DOI: 10.1016/j.ssmph.2022.101055
ISSN: 2352-8273
Publisher: Elsevier
Start Page: 101055
End Page: 101055
Journal / Book Title: SSM - Population Health
Volume: 17
Copyright Statement: © 2022 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: BMI
Food environment
Low- and middle- income countries
South Asia
Food environment
Low- and middle- income countries
South Asia
1117 Public Health and Health Services
Publication Status: Published online
Conference Place: England
Open Access location: https://www.sciencedirect.com/science/article/pii/S2352827322000349?via%3Dihub
Online Publication Date: 2022-02-28
Appears in Collections:Imperial College Business School

This item is licensed under a Creative Commons License Creative Commons