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

Bibliographic Details
Title:	Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities
Authors:	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, Sujeet Jha, Anuradhani Kasturiratne, Prasad Katulanda, Khadija I. Khawaja, Balachandran Kumarendran, Malay K. Mridha, Vindya Rajakaruna, John C. Chambers, Gary Frost, Franco Sassi, Marisa Miraldo
Source:	SSM: Population Health, Vol 17, Iss , Pp 101055- (2022)
Publisher Information:	Elsevier, 2022.
Publication Year:	2022
Collection:	LCC:Public aspects of medicine LCC:Social sciences (General)
Subject Terms:	Food environment, Obesity, BMI, Low- and middle- income countries, South Asia, Public aspects of medicine, RA1-1270, Social sciences (General), H1-99
More Details:	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
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	2352-8273
Relation:	http://www.sciencedirect.com/science/article/pii/S2352827322000349; https://doaj.org/toc/2352-8273
DOI:	10.1016/j.ssmph.2022.101055
Access URL:	https://doaj.org/article/82bd03744fdf433cbf062b832faeb8f3
Accession Number:	edsdoj.82bd03744fdf433cbf062b832faeb8f3
Database:	Directory of Open Access Journals

More Details
ISSN:	23528273
DOI:	10.1016/j.ssmph.2022.101055
Published in:	SSM: Population Health
Language:	English