Evidence map›Paper›PMID 41671315›Full record

ArticlePloS one2026

Caste and tobacco use: Decomposing inequalities using Global Adult Tobacco Survey, India.

Lucky Singh, Prashant Kumar Singh, Shashi Kala Saroj, Ritam Dubey, Shalini Singh

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Article in PloS one, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lucky SinghIndian Council of Medical Research (ICMR), New Delhi, India.
Prashant Kumar SinghDivision of Preventive Oncology & Population Health, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh, India.ORCID https://orcid.org/0000-0003-1742-5534
Shashi Kala SarojIndian Council of Medical Research (ICMR), New Delhi, India.ORCID https://orcid.org/0000-0002-2829-7446
Ritam DubeyIndependent Researcher, New Delhi, India.ORCID https://orcid.org/0000-0002-7913-759X
Shalini SinghICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-8271-1062

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia ranks second globally in tobacco consumption, with marked disparities across socially stratified caste groups. Despite tobacco control efforts, Scheduled Tribes (ST) and Scheduled Castes (SC)-historically marginalized communities-exhibit elevated tobacco use. This study examines caste-based disparities in smoked and smokeless tobacco (SLT) use and identifies factors contributing to these inequalities.

methodsWe analyzed nationally representative data from the Global Adult Tobacco Survey (GATS) 2016-17, comprising 74,037 adults aged ≥15 years. Social groups were classified as ST, SC, Other Backward Classes (OBC), and General categories. We estimated prevalence rates, used multivariable logistic regression to assess associations with socio-demographic factors, and employed multivariate decomposition analysis to quantify contributors to inter-group disparities.

resultsOverall tobacco use prevalence was 28.6%, with substantial variation: ST (36.0%), SC (28.9%), OBC (29.1%), and General (23.1%). SLT use was particularly high among ST (27.7%) and SC (20.7%) compared to General (16.0%). Men had 16-fold higher odds of SLT use (AOR: 16.4; 95%CI:15.2-17.7) and 23-fold higher odds of smoking [Adjusted Odds Ratio (AOR): 23.1; 95%CI:20.8-25.6] compared to women, with similar patterns within each social group. Lower education, older age, disrupted marriage, rural residence, and poor wealth status were independently associated with higher tobacco use. Decomposition analyses revealed that sex (38%), education (24%), and region (18%) explained most between-group differences, with substantial tobacco use concentrated in Eastern, Central, and Northeastern states.

conclusionsPronounced caste-based tobacco use disparities persist in India, disproportionately affecting socioeconomically disadvantaged ST and SC populations, particularly older, less-educated in rural areas. Achieving Sustainable Development Goal 3.a requires targeted interventions addressing these structural inequalities through culturally appropriate cessation programs, enhanced health education, and region-specific tobacco control policies.

Indexed as

Social ClassTobacco UseAdolescentAdultFemaleHumansIndiaMaleMiddle AgedPrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsTobacco, SmokelessYoung Adult

Identifiers

PMID41671315
PMCPMC12893575

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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.