Evidence map›Paper›PMID 39910523›Full record

ArticleBMC public health2025

Trends and determinants of obesity among ever-married women aged 15-49 in India: insights from National Family Health Surveys (NFHS 1998-2021).

Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Postpartum weight change one year after delivery and associated factors among women in Puducherry, South India: Findings from the JANMAM cohort.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Aditya SinghDepartment of Geography, Banaras Hindu University, Varanasi, India.ORCID 0000-0003-3031-5225
Sadanand Karun *International Institute for Population Sciences, Mumbai, Mumbai, India. sadanandkarun40@gmail.com.ORCID 0009-0004-1949-8723
Mahashweta Chakrabarty *Department of Geography, Banaras Hindu University, Varanasi, India.ORCID 0000-0001-5151-9572
Rakesh Chandra *Tata Institute of Social Sciences, Mumbai, Maharashtra, India.ORCID 0000-0002-8330-9809
Shivani Singh *Independent Researcher, Lucknow, Uttar Pradesh, India.ORCID 0000-0001-6441-0576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity has emerged as a significant public health concern in India, particularly among ever-married women of reproductive age (EMWRA). This study analyses trends in obesity among EMWRA across India and its states from 1998 to 2021 and explores the factors contributing to obesity in this group.

methodsData from four National Family Health Survey (NFHS) rounds, spanning 1998-99 to 2019-21, were pooled to create a dataset of 1,117,433 participants. We analysed obesity trends in India and its states and assessed β- and σ-convergence in obesity rates during this period. Additionally, we examined changes in socioeconomic differentials in obesity over this period. Binary logistic regression was used to explore the association of obesity with socioeconomic, demographic, and temporal factors.

resultsOver the study period, obesity among ever-married women of reproductive age (EMWRA) in India has shown a startling increase, tripling from 5.1% (95% CI: 4.7-5.5) in 1998-99 to 15.7% (15.4-15.9) in 2019-21. While obesity rates have surged across all states, the degree of increase varies significantly (ranging from 22.9% points in Tamil Nadu to 2.6 in Meghalaya). Presently, two prominent regions in the country exhibit high obesity rates: the southern region, including Tamil Nadu (29%), Kerala (25%), Goa (25%), and Andhra Pradesh (23%), and the northwestern region, encompassing Delhi (33%), Punjab (31%), and Haryana (24%). Moreover, the disparity in obesity rates across states has widened over time, with states initially showing higher rates experiencing a faster growth rate compared to those with lower initial rates, as highlighted by the β- and σ-convergence analyses. There was substantial variation in obesity rates across education, wealth, place of residence, and social group categories. The risk of obesity is higher among older, educated, wealthy, non-Hindu EMWRAs and TV watchers, but lower among those living in rural areas, the southern region, smaller households, and belonging to SC, ST, and OBC social groups.

conclusionThe surge in obesity among Indian ever married women of reproductive age calls for immediate public health measures. Customized strategies, acknowledging regional differences, are vital to tackle diverse obesity rates across states. Prioritizing vulnerable groups, including the poor, uneducated, and urban populations, is critical for ensuring fair health outcomes.

Indexed as

ObesityAdolescentAdultFemaleHealth SurveysHumansIndiaMiddle AgedRisk FactorsSocioeconomic FactorsYoung AdultAdiposityBody mass indexBody weightHealthy livingNFHSObesity

Identifiers

PMID39910523
PMCPMC11800500

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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.