Evidence mapPaperPMID 41866366Full record

ArticleScientific reports2026

Abdominal obesity in India: sex stratified multilevel estimates across 707 districts from a nationally representative cross-sectional survey.

Pratheeba John, Rimjhim Bajpai, Sudheer Kumar Shukla, Prince Chugh, Ritesh Ranjan Pushkar, G Thavasi Murugan, Rajeev Sadanandan, Sita Rama Budaraju, Nishikant Singh

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Pratheeba JohnHealth Systems Transformation Platform (HSTP), New Delhi, India.
Rimjhim BajpaiInternational Institute for Applied Systems Analysis (IIASA), Vienna, Austria.
Sudheer Kumar ShuklaHealth Systems Transformation Platform (HSTP), New Delhi, India.
Prince ChughHealth Systems Transformation Platform (HSTP), New Delhi, India.
Ritesh Ranjan PushkarOffice of the Registrar General of India, Census Operations, Bhubaneswar, Odisha, India.
G Thavasi MuruganVasanta College for Women, Banaras Hindu University (BHU), Uttar Pradesh, Varanasi, India.
Rajeev SadanandanHealth Systems Transformation Platform (HSTP), New Delhi, India.
Sita Rama BudarajuHealth Systems Transformation Platform (HSTP), New Delhi, India.
Nishikant SinghHealth Systems Transformation Platform (HSTP), New Delhi, India. nishiiips@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal obesity, measured using the waist-to-hip ratio, is an emerging public health concern in India, yet national averages mask important subnational variation relevant for local policy and prevention planning. We sought to quantify district-level variation in abdominal obesity and to examine its individual- and contextual-level determinants across India. Using nationally representative data from the National Family Health Survey 2019–2021, we analysed 664,646 women aged 15–49 years and 96,010 men aged 15–54 years across 707 districts and 30,112 communities using multilevel logistic regression. Abdominal obesity was defined using WHO-anthropometric cut-offs for WHR (women: >0.85; men: >0.90). National prevalence was high, affecting 56.6% (95% confidence interval [CI]: 56.41–56.74) of women and 48.9% (95% CI: 48.31–49.46) of men, with higher levels among older adults, wealthier groups, and urban residents. Marked inter-district heterogeneity was observed, with clusters of high prevalence in northern and eastern India and distinct sex-specific spatial patterns. Variance partitioning indicated that individual-level factors accounted for about 67% of total variation among women and 70% among men, while community-, district-, and state-level factors together explained the remaining variation. These findings demonstrate the value of small-area estimates for identifying high-burden populations and informing geographically targeted public health planning.

Indexed as

Obesity, AbdominalAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceSex FactorsWaist-Hip RatioYoung AdultAbdominal obesityIndiaMultilevel regressionNational family health surveyWaist-to-hip ratio

Identifiers

PMID41866366
PMCPMC13168249

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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 Socratic graph.