Evidence map›Paper›PMID 40033402›Full record

ArticleJournal of health, population, and nutrition2025

Distribution and association of depression with tobacco consumption among middle-aged and elderly Indian population: nested multilevel modelling analysis of nationally representative cross-sectional survey.

Tanvi Kiran, Pritam Halder, Divya Sharma, Aseem Mehra, Kapil Goel, Ashish Behera

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Depression and Multimorbidity among Older Indians Residing in Front-Runner, Achiever and Aspirant States: Insight from Longitudinal Ageing Study in India (LASI) - Wave I.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Tanvi Kiran *Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Pritam Halder *Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India. rynedann@gmail.com.ORCID 0009-0008-2407-6807
Divya SharmaDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Aseem MehraDepartment of Psychiatry Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Kapil GoelDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Ashish BeheraDepartment of Internal Medicine, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on the distribution and association of depression with tobacco consumption among young population is commonly prioritised in India, while studies on tobacco use among middle-aged (45-59 years) and elderly (≥ 60 years) adults are noticeably lacking. Thus, we conducted this study with the objectives of estimating the prevalence, distribution and determining the association of depression and tobacco consumption among middle-aged and elderly Indian population; overall and stratified into age group, gender, and geographical location.

methodsUsing dataset from Longitudinal Aging Study in India (LASI), a bivariate analysis was conducted among middle-aged (45-59 years) and elderly (≥ 60 years) Indians to estimate the prevalence of depression and tobacco consumption. States and Union Territories were categorised as low, medium, and high as per prevalence of depression and tobacco consumption, and spatial distribution maps were created. To reduce the confounding effects of demographic & socioeconomic and health-related & behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was employed to explore the association between depression (outcome variable) and tobacco consumption (explanatory variable) using STATA version 17. The p value < 0.05 was considered statistically significant.

resultsOverall, 36.78% (36.03-37.55%) participants documented using any form of tobacco; with higher consumption of smokeless tobacco (SLT) (19.88%) than smoking (SM) (13.92%). The overall prevalence of depression was 7.62% irrespective of tobacco consumption, and 8.51% among participants consuming any form of tobacco. Mizoram had the highest consumption of tobacco in any form (78.21%), whereas Madhya Pradesh recorded the highest (14.62%) depression prevalence. Bihar, Uttar Pradesh, West Bengal, and Uttarakhand had both high prevalence of depression and any form of tobacco consumption. The average estimated treatment effect (ATE) indicated a positive association both between depression and any form of tobacco consumption (p value = 0.001) and with smokeless tobacco (p value = 0.001) consumption. Participants ever consuming any form of tobacco had 28% higher odds (aOR-1.28 (1.18-1.38). The odds of having depression were higher among females (aOR = 1.28 (1.17-1.41); richest (aOR-1.48 (1.32-1.65); living alone (aOR = 1.14 (1.01-1.33). Participants with comorbidity (aOR = 1.20 (1.10-1.30) and multimorbidity (aOR = 1.24 (1.13-1.36)) had higher odds of depression.

conclusionThe study has established significant positive association between depression and tobacco consumption stratified into gender and age group. Prioritisation of mental health disorders like depression and tobacco prevention and cessation programmes must be implemented with focusing on females and the middle-aged population with community awareness and intersectoral collaborative effort irrespective of subnational-variations.

Indexed as

DepressionEpidemiological ModelsTobacco UseAgedCross-Sectional StudiesFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedMultilevel AnalysisPrevalenceRegression AnalysisRisk FactorsDepressionElderlyLASILongitudinal aging study in IndiaOlder adultsSmokeless tobaccoSmoking

Identifiers

PMID40033402
PMCPMC11874790

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LicenceCC BY-NC-ND
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Registered trials

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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.