Evidence map›Paper›PMID 40426105›Full record

ArticleBMC public health2025

Changes in prevalence of alcohol and tobacco consumption across districts of India, 2016 and 2021.

Sunil Rajpal, Abhishek Kumar, Shreya Ronanki, Nehantha Sathesh, Rockli Kim, S V Subramanian

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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 2 papers.

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2citing papers 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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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.

Sunil RajpalDepartment of Economics, FLAME University, Pune, India.
Abhishek KumarDepartment of Economics, FLAME University, Pune, India.
Shreya RonankiCentre for Research in Wellbeing and Happiness, FLAME University, Pune, India.
Nehantha SatheshCentre for Research in Wellbeing and Happiness, FLAME University, Pune, India.
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, South Korea. rocklikim@korea.ac.kr.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA, US.

Funding

Gates Foundation INV-002992
6 · The paper itself

Abstract

backgroundIndia witnessed a rise in alcohol and tobacco consumption in the last few decades. However, the burden varies because of the huge population, diverse socioeconomic, cultural, and geographical characteristics, and different liquor policies across states. To understand the burden and progress, it is crucial to examine the consumption patterns at smaller geographical units. This study examines the trends and patterns in alcohol and tobacco consumption across 720 districts nested within 36 states (Union Territories) between 2016 and 2021.

methodsWe used the fourth (2015-16) and fifth (2019-21) rounds of the National Family Health Survey of India. Both rounds provide the district-representative sample for the estimation. We used a 4-level (level 1-individuals; level 2-clusters; level 3-districts; level 4-states) random effects model to compute the predicted probabilities of alcohol and tobacco consumption (among males and females) for 720 districts in India. We used decile positions to map the consumption prevalence across districts.

resultsBetween 2016 and 2021, alcohol and tobacco consumption among men in India declined significantly, with national alcohol usage dropping from 29.2% to 17.5% and tobacco from 44.5% to 32.6%. The variation attributable to states for both alcohol (40.5% in 2016 and 56.6% in 2021) and tobacco (58% in 2016 and 68.3% in 2021) consumption among men was higher in 2021 as compared to 2016. The consumption of both tobacco and alcohol was notably high in the north-eastern states among both men and women. More than 80% of the districts reported a moderate to high reduction in alcohol consumption for men between the two rounds.

conclusionsThe national decline in tobacco and alcohol consumption indicates progress. However, there remains a need for continuous and targeted interventions to target high-consumption pockets and address geographic disparities. The results of the present study indicate that interventions focusing on changing tobacco and alcohol consumption should consider the geographical variation at smaller administrative units. By implementing evidence-based policies and interventions suited to the needs of the local areas, public health authorities can continue to make significant strides in improving the health and well-being of the population and reducing the burden of alcohol and tobacco-related diseases.

Indexed as

Alcohol DrinkingPopulation HealthPublic PolicyTobacco UseAdolescentAdultCluster AnalysisFemaleGeographyHealth Status DisparitiesHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceAlcoholDistrict-level consumptionIndiaRisk factorsTobacco

Identifiers

PMID40426105
PMCPMC12108003

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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.