Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161377
Title: Food environment and diabetes mellitus in South Asia: a geospatial analysis of health outcome data
Authors: Kusuma, Dian
Atanasova, Petya
Pineda, Elisa
Anjana, Ranjit Mohan
De Silva, Laksara
Hanif, Abu Am
Hasan, Mehedi
Hossain, Md. Mokbul
Indrawansa, Susantha
Jayamanne, Deepal
Jha, Sujeet
Kasturiratne, Anuradhani
Katulanda, Prasad
Khawaja, Khadija I.
Kumarendran, Balachandran
Mridha, Malay K.
Rajakaruna, Vindya
Chambers, John Campbell
Frost, Gary
Sassi, Franco
Miraldo, Marisa
Keywords: Science::Medicine
Issue Date: 2022
Source: Kusuma, D., Atanasova, P., Pineda, E., Anjana, R. M., De Silva, L., Hanif, A. A., Hasan, M., Hossain, M. M., Indrawansa, S., Jayamanne, D., Jha, S., Kasturiratne, A., Katulanda, P., Khawaja, K. I., Kumarendran, B., Mridha, M. K., Rajakaruna, V., Chambers, J. C., Frost, G., ...Miraldo, M. (2022). Food environment and diabetes mellitus in South Asia: a geospatial analysis of health outcome data. PLoS Medicine, 19(4), e1003970-. https://dx.doi.org/10.1371/journal.pmed.1003970
Journal: PLoS medicine 
Abstract: Background: The global 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 (SES), health 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 blood glucose levels and 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.
URI: https://hdl.handle.net/10356/161377
ISSN: 1549-1277
DOI: 10.1371/journal.pmed.1003970
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

Files in This Item:
File Description SizeFormat 
journal.pmed.1003970.pdf1.63 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

9
Updated on Jun 19, 2024

Web of ScienceTM
Citations 20

6
Updated on Oct 29, 2023

Page view(s)

96
Updated on Jun 20, 2024

Download(s) 50

30
Updated on Jun 20, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.