Evidence map›Paper›PMID 38019232›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2023

Factors Influencing Tobacco Cessation in India: Findings from the Global Adult Tobacco Survey-2.

G K Mini, Radhakrishnan Jayakrishnan, Krishna Kumar Jishnu, K Kumar Anil

Abstract read
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Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

G K MiniGlobal Institute of Public Health, Ananthapuri Hospitals and Research Institute, Trivandrum, Kerala, India.ORCID 0000-0003-2775-629X
Radhakrishnan JayakrishnanDivision of Community Oncology, Regional Cancer Centre, Trivandrum, Kerala, India.
Krishna Kumar JishnuDepartment of Public Health Dentistry, Saveetha Dental Colleges & Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
K Kumar AnilCentre for Health and Social Sciences, School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aimed to assess the socio-demographic and other correlates of cessation behavior across tobacco products among the adult population in India.

methodsWe used data of adults (aged ≥15 years) who were current or former tobacco users (smoking and/or smokeless tobacco) from the Global Adult Tobacco Survey (GATS) India, conducted during 2016-17. The detailed analysis was done for current daily smokers (N=7,647), former daily smokers (N=1,353), and current daily smokeless tobacco users (N=1,2721). Multivariate logistic regression was separately performed to find the associated factors with attempts to quit, successful quitting, different cessation methods of smoking, and smokeless tobacco use.

resultsThe findings of the study indicated that daily smokers, higher educated, urban residents and employed were more likely to quit smoking compared to their counterparts. Successful quitting of smoking was higher for employed, higher educated, current users of smokeless tobacco and older adults.  For smokeless tobacco users, non-daily users, highly educated, urban residents, and employed were more likely to attempt to quit compared to their counterparts. Successful quitting of smokeless tobacco was higher for unemployed, highly educated, urban residents and current non-smokers, and higher age group adults.

conclusionThe findings of this study suggest a need for professionally channelized cessation interventions to reduce the prevalence and relapse of tobacco use and increase the quit rate. Well-designed, large-scale research into specific tobacco cessation methods is needed to establish the association between different tobacco cessation methods and increased quit rates.

Indexed as

Tobacco, SmokelessTobacco Use CessationAgedHumansIndiaSmokingGATSIndiaquit attemptTobacco cessation

Identifiers

PMID38019232
PMCPMC10772769

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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.