Evidence map›Paper›PMID 38918658›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Intention to Quit Tobacco due to Media Advertisements in India: Findings from Global Adult Tobacco Survey 2016-17.

Madhur Verma, Jaya Prasad Tripathy, Mukesh Kumar

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

The trial behind it

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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

3 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

3 authors.

Madhur VermaDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda (Punjab), India.ORCID 0000-0002-1787-8392
Jaya Prasad TripathyDepartment of Community & Family Medicine, All India Institute of Medical Sciences, Nagpur (Maharashtra), India.
Mukesh KumarPublic Health Specialist, Armed Forces Medical Services, New Delhi, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco has been among the most important causes of morbidity and mortality worldwide. In reducing tobacco consumption, media campaigns are crucial in raising awareness and encouraging individuals to quit. The present study aimed to profile participants of GATS-2, including tobacco usage patterns and media exposure, and explore the factors associated with quitting in the presence of media exposure.

methodsSecondary data analysis of Global Adult Tobacco Survey-India (2016-17) data was done among current daily cigarette smokers and smokeless tobacco users. The primary independent variable was an intention to quit, while media exposure was the primary independent variable. Respondents were profiled as per various socio-demographic variables, and exposure to media advertisements and intention to quit were assessed using weighted bivariate analysis and multivariate log regression analysis.

resultsMales, and respondents aged 15 to 45, had more exposure to media and advertisements than female respondents. Cigarette smokers with moderate consumption, better awareness, those who had made any quit attempts in the last 12 months, and moderate to high media exposure depicted better intention to quit. In SLT users, intention to quit depicted significant odds per education level quit attempts and exposure to media and advertisements.

conclusionWe report a high intention to quit among those exposed to advertisements. Media campaigns play an important role in promoting tobacco control. There is a need to assess the impact of such advertisements on behavioral aspects. At the same time, comprehensive tobacco control policies should go hand in hand in reducing smoking rates.

Indexed as

AdvertisingIntentionMass MediaSmoking CessationAdolescentAdultFemaleFollow-Up StudiesHumansIndiaMaleMiddle AgedPrognosisSurveys and QuestionnairesTobacco UseTobacco Use Cessationadvertisementsdisparitiesintention to quitmediaTobacco

Identifiers

PMID38918658
PMCPMC11382854

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LicenceCC BY-NC
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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.