ArticlePLoS medicine2022
Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data.
Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Associations of the built environment with type 2 diabetes in Asia: a systematic review.BMJ open · 2023Pooled it
- Associations of eating context with dietary quality, satiety, and postprandial blood glucose in free-living Singaporean adults during 9 days of intensive digital phenotyping.The international journal of behavioral nutrition and physical activity · 2026Article
- FADIS: Fast-food attributed diabetes index study: An ecological State-level exploration of nutritional transitions and diabetes burden in India.The Indian journal of medical research · 2026Article
- Impact of Commercial Food Environments on Local Type 2 Diabetes Burden: Cross-Sectional and Ecological Multimodeling Study.JMIR public health and surveillance · 2025Article
- Income-based inequalities in risk factors of NCDs and inequities of preventive care services amongst 202,682 adults: a cross-sectional study of South Asia Biobank.BMC medicine · 2025Article
- Data-driven nutritional assessment of urban food landscapes: insights from Boston, London, and Dubai.Scientific reports · 2025Article
- Compliance to tobacco and alcohol zoning regulations around schools in Bangladesh, India, Pakistan and Sri Lanka using environmental mapping data.BMC medicine · 2025Article
- Spatiotemporal effects of urban micro-scale built environment on cardiovascular diseases.Scientific reports · 2025Article
- Built Environment and Cardiovascular Diseases - Insights from a Global Review.Current atherosclerosis reports · 2025Review
- Serum Cystatin C levels increase with increasing visceral fat area in patients with type 2 diabetes mellitus.Scientific reports · 2024Article
- Policy implementation and recommended actions to create healthy food environments using the Healthy Food Environment Policy Index (Food-EPI): a comparative analysis in South Asia.The Lancet regional health. Southeast Asia · 2024Article
- Integrating human activity into food environments can better predict cardiometabolic diseases in the United States.Nature communications · 2023Article
- The urgent need for a policy on epidemiological data on cardiovascular diseases in Bangladesh.Health science reports · 2023Article
- Does the Disparity Patterning Differ between Diagnosed and Undiagnosed Hypertension among Adults? Evidence from Indonesia.Healthcare (Basel, Switzerland) · 2023Article
- Selective Daily Mobility Bias in the Community Food Environment: Case Study of Greater Hartford, Connecticut.Nutrients · 2023Article
- District-Level Inequalities in Hypertension among Adults in Indonesia: A Cross-Sectional Analysis by Sex and Age Group.International journal of environmental research and public health · 2022Article
- Article
- An overview of environmental risk factors for type 2 diabetes research using network science tools.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 9 institutions in 6 countries.
Funding
Abstract
backgroundThe 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
findingsWe 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.
conclusionsOur 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.