Digital Repository

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

Show simple item record

dc.contributor.author Atanasova, P.
dc.contributor.author Kusuma, D.
dc.contributor.author Pineda, E.
dc.contributor.author Anjana, R.M.
dc.contributor.author de Silva, L.
dc.contributor.author Hanif, A.A.M.
dc.contributor.author Hasan, M.
dc.contributor.author Hossain, M.M.
dc.contributor.author Indrawansa, S.
dc.contributor.author Jayamanne, D.
dc.contributor.author Jha, S.
dc.contributor.author Kasturiratne, A.
dc.contributor.author Katulanda, P.
dc.contributor.author Khawaja, K.I.
dc.contributor.author Kumarendran, B.
dc.contributor.author Mrida, M.K.
dc.contributor.author Rajakaruna, V.
dc.contributor.author Chambers, J.C.
dc.contributor.author Frost, G.
dc.contributor.author Sassi, F.
dc.contributor.author Miraldo, M.
dc.date.accessioned 2022-03-14T09:00:19Z
dc.date.available 2022-03-14T09:00:19Z
dc.date.issued 2022
dc.identifier.citation SSM - Population Health.2022;17:101055. en_US
dc.identifier.issn 2352-8273
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/24530
dc.description Not indexed in MEDLINE. en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Elsevier Ltd en_US
dc.subject BMI en_US
dc.subject Food environment en_US
dc.subject Low- and middle- income countries en_US
dc.title Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account