Evidence map›Paper›PMID 30264753›Full record

ReviewThe Indian journal of medical research2018

Determinants of smokeless tobacco use in India.

J S Thakur, Ronika Paika

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Socio-Economic Status Differences in Changing Affordability of Tobacco Products from 2011-2012 to 2018-2019 in India.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  18. Tobacco Endgame: Can India Share the Dream?Indian journal of psychological medicine · 2023
    Article
  19. Article
  20. Article
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

2 authors.

J S ThakurDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Ronika PaikaDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable diseases (NCDs) contributes to more than 50 per cent disability adjusted life years (DALYs) in India; and tobacco contributes to 7·4 per cent of DALYs which is next to diet and high blood pressure. According to Global Burden of Disease (GBD) 2015, tobacco use contributed to 5.9 per cent out of total DALYs in India. Smokeless tobacco (SLT) consumption is a multifactorial process influenced by varied range of contextual factors i.e., social, environmental, psychological and the genetic factors which are linked to the tobacco use. The determinants associated with the SLT use are gender, educational level, wealth index (inverse association), urban-rural residence, socio-economic status and low tax. Taking the view from tobacco control programmes, there is a need to address determinants of SLT use with State level monitoring and socio-economic inequalities, progress and review of the taxation of the SLT use in India.

Indexed as

Tobacco, SmokelessTobacco UseHumansIndiaQuality-Adjusted Life YearsSocioeconomic FactorsDemography - determinants - noncommunicable diseases - smokeless tobacco socio-economic status

Identifiers

PMID30264753
PMCPMC6172920

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.