Evidence map›Paper›PMID 32550205›Full record

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.

Shrikant Singh, Parul Puri, S V Subramanian

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. 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 · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Shrikant SinghDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Govandi Station Road, Mumbai, Maharashtra India.
Parul PuriDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Govandi Station Road, Mumbai, Maharashtra India.ORCID https://orcid.org/0000-0001-6272-837X
S V SubramanianDepartment of Social and Behavioural Sciences, Harvard University T H Chan School of Public Health, Boston, MA USA.
International Institute for Population Sciences · INHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Chronic diseasesDiabetesDistrictsGeospatialIndiaWomen

Identifiers

PMID32550205
PMCPMC7270370
OpenAlexW3030544656

What OpenQuestion holds

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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.