Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorKusuma, Dian
dc.contributor.authorAtanasova, Petya
dc.contributor.authorPineda, Elisa
dc.contributor.authorAnjana, Ranjit Mohan
dc.contributor.authorDe Silva, Laksara
dc.contributor.authorHanif, Abu A.M.
dc.contributor.authorHasan, Mehedi
dc.contributor.authorHossain, Md. Mokbul
dc.contributor.authorIndrawansa, Susantha
dc.contributor.authorJayamanne, Deepal
dc.contributor.authorJha, Sujeet
dc.contributor.authorKasturiratne, Anuradhani
dc.contributor.authorKatulanda, Prasad
dc.contributor.authorKhawaja, Khadija I.
dc.contributor.authorKumarendran, Balachandran
dc.contributor.authorMridha, Malay K.
dc.contributor.authorRajakaruna, Vindya
dc.contributor.authorChambers, John C.
dc.contributor.authorFrost, Gary
dc.contributor.authorSassi, Franco
dc.contributor.authorMiraldo, Marisa
dc.contributor.departmentBRAC James P Grant School of Public Health
dc.date.accessioned2026-08-11T04:51:55Z
dc.date.available2026-08-11T04:51:55Z
dc.date.issued2022-04-01
dc.description.abstractBackground AU The: global Please confirm that all heading levels are represented correctly epidemic of type 2 diabetes mellitus (T2DM) renders : its prevention a major public health priority. A key risk factor of diabetes is obesity and poor diets. Food environments have been found to influence people’s diets and obesity, positing they may play a role in the prevalence of diabetes. Yet, there is scant evidence on the role they may play in the context of low- and middle-income countries (LMICs). We examined the associations of food environments on T2DM among adults and its heterogeneity by income and sex. Methods and findings We linked individual health outcome data of 12,167 individuals from a network of health surveillance sites (the South Asia Biobank) to the density and proximity of food outlets geolocated around their homes from environment mapping survey data collected between 2018 and 2020 in Bangladesh and Sri Lanka. Density was defined as share of food outlets within 300 m from study participant’s home, and proximity was defined as having at least 1 outlet within 100 m from home. The outcome variables include fasting blood glucose level, high blood glucose, and self-reported diagnosed diabetes. Control variables included demographics, socioeconomic status (SAU ES),: health Please note that the abbreviation SES has been introduced for socioeconomic status, healthcare utilization, and physical activities. Data were analyzed in ArcMap 10.3 and STATA 15.1. A higher share of fast-food restaurants (FFR) was associated with a 9.21 mg/dl blood glucose increase (95% CI: 0.17, 18.24; p < 0.05). Having at least 1 FFR in the proximity was associated with 2.14 mg/dl blood glucose increase (CI: 0.55, 3.72; p < 0.01). A 1% increase in the share of FFR near an individual’s home was associated with 8% increase in the probability of being clinically diagnosed as a diabetic (average marginal effects (AMEs): 0.08; CI: 0.02, 0.14; p < 0.05). Having at least 1 FFR near home was associated with 16% (odds ratio [OR]: 1.16; CI: 1.01, 1.33; p < 0.05) and 19% (OR: 1.19; CI: 1.03, 1.38; p < 0.05) increases in the odds of higher led for those used throughout the text blood glucose levels and: Please verify that all entries are correct diagnosed diabetes, respectively. : The positive association between FFR density and blood glucose level was stronger among women than men, but the association between FFR proximity and blood glucose level was stronger among men as well as among those with higher incomes. One of the study’s key limitations is that we measured exposure to food environments around residency geolocation; however, participants may source their meals elsewhere. Conclusions Our results suggest that the exposure to fast-food outlets may have a detrimental impact on the risk of T2DM, especially among females and higher-income earners. Policies should target changes in the food environments to promote better diets and prevent T2DM. Copyright: © 2022 Kusuma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.versionPublished
dc.format.extent20 pages
dc.identifier.citationKusuma D, Atanasova P, Pineda E, Anjana RM, De Silva L, Hanif AA, et al. (2022) Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data. PLoS Med 19(4): e1003970. https://doi.org/10.1371/journal.pmed.1003970
dc.identifier.doi10.1371/journal.pmed.1003970
dc.identifier.issn15491277
dc.identifier.other2-s2.0-85128961368
dc.identifier.urihttps://hdl.handle.net/10361/28907
dc.language.isoen_US
dc.publisherPublic Library of Science
dc.relation.hasversion10.1371/journal.pmed.1003970
dc.relation.ispartofPlos Medicine
dc.relation.ispartofseriesPlos Medicine
dc.relation.journalPLoS Medicine
dc.relation.urihttps://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003970
dc.rightstrue
dc.subjectAdult
dc.subjectBlood Glucose
dc.subjectDiabetes mellitus
dc.subjectType 2
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectObesity
dc.subjectOutcome assessment
dc.subjectHealth care
dc.subjectResidence characteristics
dc.subjectSri Lanka
dc.subject.lcshFood security--South Asia.
dc.subject.lcshNoncommunicable Diseases.
dc.subject.lcshDiabetes--Etiology.
dc.subject.lcshDiabetes Mellitus, Type 2.
dc.titleFood environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data
dc.typeArticle
oaire.citation.issue4
oaire.citation.volume19
person.affiliation.nameImperial College Business School
person.affiliation.nameImperial College Business School
person.affiliation.nameImperial College Business School
person.affiliation.nameMadras Diabetes Research Foundation
person.affiliation.nameUniversity of Colombo Faculty of Medicine
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameUniversity of Colombo Faculty of Medicine
person.affiliation.nameUniversity of Kelaniya
person.affiliation.nameMax Healthcare
person.affiliation.nameUniversity of Kelaniya
person.affiliation.nameUniversity of Colombo Faculty of Medicine
person.affiliation.nameServices Institute of Medical Sciences Lahore
person.affiliation.nameUniversity of Jaffna
person.affiliation.nameBRAC University
person.affiliation.nameUniversity of Kelaniya
person.affiliation.nameImperial College London
person.affiliation.nameImperial College Faculty of Medicine
person.affiliation.nameImperial College Business School
person.affiliation.nameImperial College Business School
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