Evidence map›Paper›PMID 39391959›Full record

ArticleJournal of global health2024

Patterns of change in the association between socioeconomic status and body mass index distribution in India, 1999-2021.

Meekang Sung, Anoop Jain, Akhil Kumar, Rockli Kim, Bharati Kulkarni, S V Subramanian

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Meekang SungDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Anoop JainDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Akhil KumarFaculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada.
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, Seoul, South Korea.
Bharati KulkarniDivision of Reproductive & Child Health & Nutrition, Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) is an important indicator of human health. However, trends in socioeconomic inequalities in BMI over time throughout India are understudied. Filling this gap will elucidate which socioeconomic groups are still at risk for adverse BMI values. Methods: This repeated cross-sectional study analysed four rounds of India's National Family Health Surveys (1998-1999, 2005-2006, 2015-2016, and 2019-2021). The outcome was BMI categories, measured in kilogram per metres squared (kg/m Results: The study population consisted of 1 244 149 women and 227 585 men. We found that those in the lowest SES categories were more likely to be severely/moderately thin or mildly thin. Conversely, those in the highest SES groups were more likely to be overweight or obese. The gradients were steepest for wealth, and this was substantiated by the results of regression models for every wave. There has been a decline in the difference in the prevalence of severely/moderately thin or mildly thin between SES groups when comparing the years 1999 and 2021. Conclusions: SES-based inequalities in BMI were smaller in 2021 compared to 1999. However, those in low SES groups were most likely to be severely/moderately thin or mildly thin while those in high SES groups were more likely to be overweight or obese. Future research should explore the pathways that link SES with BMI.

Indexed as

Body Mass IndexObesityOverweightSocial ClassAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceThinnessYoung Adult

Identifiers

PMID39391959
PMCPMC11467771

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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.