Imperial College London
Portrait Picture

Dr Dian Kusuma

Business School

Research Associate
 
 
 
//

Contact

 

d.kusuma

 
 
//

Location

 

Desk E 3.25Business School BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Kusuma:2022:10.1371/journal.pmed.1003970,
author = {Kusuma, D and Atanasova, P and Pineda, E and Anjana, RM and De, Silva L and Hanif, AA and Hasan, M and Hossain, MM and Indrawansa, S and Jayamanne, D and Jha, S and Kasturiratne, A and Katulanda, P and Khawaja, KI and Kumarendran, B and Mridha, MK and Rajakaruna, V and Chambers, JC and Frost, G and Sassi, F and Miraldo, M},
doi = {10.1371/journal.pmed.1003970},
journal = {PLoS Medicine},
title = {Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data},
url = {http://dx.doi.org/10.1371/journal.pmed.1003970},
volume = {19},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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 odd
AU  - Kusuma,D
AU  - Atanasova,P
AU  - Pineda,E
AU  - Anjana,RM
AU  - De,Silva L
AU  - Hanif,AA
AU  - Hasan,M
AU  - Hossain,MM
AU  - Indrawansa,S
AU  - Jayamanne,D
AU  - Jha,S
AU  - Kasturiratne,A
AU  - Katulanda,P
AU  - Khawaja,KI
AU  - Kumarendran,B
AU  - Mridha,MK
AU  - Rajakaruna,V
AU  - Chambers,JC
AU  - Frost,G
AU  - Sassi,F
AU  - Miraldo,M
DO  - 10.1371/journal.pmed.1003970
PY  - 2022///
SN  - 1549-1277
TI  - Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data
T2  - PLoS Medicine
UR  - http://dx.doi.org/10.1371/journal.pmed.1003970
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35472059
UR  - http://hdl.handle.net/10044/1/96060
VL  - 19
ER  -
Download