Evidence map›Paper›PMID 37383502›Full record

ArticleHealth policy OPEN2021

Tobacco control policies in India were unable to address inequities in Tobacco-related harm.

Rohini Ruhil

Abstract read
In one paragraph

Article in Health policy OPEN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
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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

1 author.

Rohini RuhilCentre for Social Medicine and Community Health (CSMCH), Jawaharlal Nehru University (JNU), New Delhi 110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Global Adult Tobacco Survey (GATS) India 2016-17 has shown that increased regulations over time impacted tobacco use culture, which opened the doors for further regulation, making it an iterative process. But do the 'tobacco control policies' reach till most deprived sections of society? This paper tries to answer this question. Methods: In this paper, the relative reduction in tobacco use prevalence is seen (from 2009 to 10 to 2016-17) across different levels of material deprivation and educational attainment. The relative reduction in prevalence/ use of various forms of smoking and smokeless tobacco products was also studied.Material Deprivation as a new index was computed, where the weightage was given to various variables related to household ownership of various material things as available in data sets of GATS Survey. The recoded variables were then added and further categorised into six levels of material deprivation where Level 1 corresponds to least deprived and Level 6 corresponds to most deprived.The relative reduction in the prevalence of tobacco use was calculated with the formula [(P1-P2)/P1]*100, where P1 is the prevalence of tobacco use (smoking or smokeless) during GATS1 (2009-10), and P2 is the prevalence of tobacco use (smoking or smokeless) during GATS2 (2016-17). Results: It has been shown that the higher the level of material deprivation, the lesser the relative reduction in the prevalence of tobacco use. The relative reduction in tobacco use was more for higher levels of educational attainment. It has been found that relative reduction is more for smoking products as compared to smokeless tobacco (SLT) products. Khaini and Bidis are emerging as popular products, which are least regulated by existing tobacco control policies. Conclusion: The reduction in the prevalence of tobacco use from GATS1 to GATS2 is inequitous across levels of material deprivation and levels of educational attainment by individuals. Also, there is a tendency for product substitution among tobacco users.

Indexed as

Health InequityHealth PolicyInequalityInequitySmokeless TobaccoSmokingTobacco ControlTobacco Control Policies

Identifiers

PMID37383502
PMCPMC10297741

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LicenceCC BY-NC-ND
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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.