ArticleJournal of diabetes and metabolic disorders2020
Identifying spatial variation in the burden of diabetes among women across 640 districts in India: a cross-sectional study.
Article in Journal of diabetes and metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 17 citations in OpenAlex.
- Spatial Association between Air Pollution and Non-communicable Diseases and their Distribution in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Financial burden of seeking diabetes mellitus care in India: Evidence from a Nationally Representative Sample Survey.Health care science · 2023Article
- Identifying non-communicable disease multimorbidity patterns and associated factors: a latent class analysis approach.BMJ open · 2022Article
- Article
- Spatial epidemiology of diabetes: Methods and insights.World journal of diabetes · 2021Review
- Temporal dynamics, patterns and correlates of single and multimorbidity in India, 1994-2018.Journal of multimorbidity and comorbidityArticle
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Authors and funding
3 authors at 2 institutions in 2 countries.
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Abstract
purposeDiabetes is one of the leading causes of mortality and morbidity among women in India. The burden of diabetes among women was found to increase with age and exposure to the post-partum period. The present study examines the spatial variation in the prevalence of diabetes among women in the late reproductive age-group of 35-49 years across 640 districts in India.
methodsThe study utilized data from the recent round of the National Family Health Survey, 2015-16. Age-standardized prevalence rates were calculated, followed by an examination of economic inequality using the poor-rich-ratio (PRR) and Wagstaff's concentration index. Spatial variation in the prevalence of diabetes was explored with a series of quantile maps, univariate, and bivariate LISA cluster maps. Further, to explore the district-level diabetes prevalence among women in the country, Ordinary Least Square and Spatial Autoregressive (SAR) models were used.
resultsThe study findings affirm the presence of spatial clustering in the burden of diabetes among women. The burden is relatively higher among women from the Southern and Eastern parts of the country. Findings establish obesity, hypertension, and living in urban areas as major correlates of diabetes.
conclusionProgram with an aim to lower the intensity of community-based prevalence of diabetes, especially among women in their late reproductive ages, should adopt differential approaches across different states/districts in the context of their lifestyle, dietary pattern, working pattern, and other socio-cultural practices.
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