Evidence map›Paper›PMID 36862703›Full record

ArticlePloS one2023

Social determinants of tobacco use among tribal communities in India: Evidence from the first wave of Longitudinal Ageing Study in India.

Jogesh Murmu, Ritik Agrawal, Sayantani Manna, Sweta Pattnaik, Shishirendu Ghosal, Abhinav Sinha, Ardhendu Sekhar Acharya, Srikanta Kanungo, Sanghamitra Pati

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

20 citing papers in PubMed, 28 citations in OpenAlex.

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  4. Sociocultural Determinants of Tobacco Usage among the Tribal Population in Jharkhand, India: An Analysis of Global Adult Tobacco Survey India 2016-2017.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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jogesh MurmuICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0001-9428-9113
Ritik AgrawalICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0001-5345-1559
Sayantani MannaICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0001-9093-1172
Sweta PattnaikICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0002-6888-9980
Shishirendu GhosalICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0003-1833-3703
Abhinav SinhaHealth Technology Assessment in India (HTAIn), ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0001-7702-3671
Ardhendu Sekhar AcharyaICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0001-5647-0122
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0002-7717-5592
Regional Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence on tobacco use among indigenous communities is scarce with available literature based either on a specific region or a particular tribe. Considering the large tribal population in India, it is pertinent to generate evidence on tobacco use among this community. Using nationally representative data, we aimed to estimate the prevalence of tobacco use and assess its determinants and regional variations among older tribal adults in India.

methodsWe analysed data from Longitudinal Ageing Study in India (LASI), wave-1 conducted in 2017-18. A sample of 11,365 tribal individuals aged ≥ 45 years was included in this study. Descriptive statistics was used to assess the prevalence of smokeless tobacco (SLT), smoking, and any form of tobacco use. Separate multivariable regression models were executed to assess the association of various socio-demographic variables with different forms of tobacco use, reported as adjusted odds ratio (AOR) with 95% confidence interval.

resultsThe overall prevalence of tobacco use was around 46%, with 19% of smokers and nearly 32% smokeless tobacco (SLT) users. Participants from the lowest MPCE quintile group had a significantly higher risk of consuming (SLT) [AOR: 1.41 (95% CI: 1.04-1.92)]. Alcohol was found to be associated with both smoking [AOR: 2.09 (95% CI: 1.69-2.58)] and (SLT) [AOR: 3.05 (95% CI: 2.54-3.66)]. Relatively higher odds of consuming (SLT) were associated with the eastern region [AOR: 6.21 (95% CI: 3.91-9.88)].

conclusionThis study highlights the high burden of tobacco use and its social determinants among the tribal population in India, which can help tailor anti-tobacco messages for this vulnerable population to make tobacco control programs more effective.

Indexed as

Social Determinants of HealthTobacco, SmokelessAdultAgingHumansIndiaTobacco Use

Identifiers

PMID36862703
PMCPMC9980830
OpenAlexW4322758135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.