Evidence map›Paper›PMID 32760863›Full record

ArticleTobacco prevention & cessation2020

Patterns and related factors of bidi smoking in India.

Lazarous Mbulo, Krishna M Palipudi, Tenecia Smith, Shaoman Yin, Vineet G Munish, Dhirendra N Sinha, Prakash C Gupta, Leimapokpam Swasticharan

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  10. Tobacco Endgame: Can India Share the Dream?Indian journal of psychological medicine · 2023
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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

8 authors.

Lazarous MbuloGlobal Tobacco Control Branch, Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, United States.
Krishna M PalipudiGlobal Tobacco Control Branch, Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, United States.
Tenecia SmithGlobal Tobacco Control Branch, Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, United States.
Shaoman YinGlobal Tobacco Control Branch, Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, United States.
Vineet G MunishWorld Health Organization Country Office, New Delhi, India.
Dhirendra N SinhaSchool of Preventive Oncology, Patna Medical College, Patna, India.
Prakash C GuptaHealis-Sekhsaria Institute of Public Health, Navi Mumbai, India.
Leimapokpam SwasticharanMinistry of Health and Family Welfare, Government of India, New Delhi, India.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionBidis are the most commonly smoked tobacco product in India. Understanding bidi smoking is important to reducing overall tobacco smoking and health-related consequences in India. We analyzed 2009-2010 and 2016-2017 Global Adult Tobacco Survey (GATS) India data to examine bidi smoking and its associated sociodemographic correlates and perceptions of dangers of smoking.

methodsGATS is a nationally representative household survey of adults aged ≥15 years, designed to measure tobacco use and tobacco control indicators. Current bidi smoking was defined as current smoking of one or more bidis during a usual week. We computed bidi smoking prevalence estimates and relative change during 2009-2010 and 2016-2017. Used pooled multilevel logistic regression to identify individual-level determinants of bidi smoking and neighborhood-level and state-level variations.

resultsOverall, 9.2% and 7.7% of adults smoked bidis in India during 2009-2010 and 2016-2017, respectively, reflecting 16.4% significant relative decline. In pooled analysis, male, older age, rural residence, lower education level, lower wealth index, less knowledge about harms of smoking, and survey year were associated with increased odds of bidi smoking. Results also showed variance in odds of smoking bidis is associated with neighborhood (15.9%) and state (31.8%) level.

conclusionsHigher odds of bidi smoking were found among males, older age groups, and among those with lower socioeconomic status. Accordingly, health education interventions designed for these groups across India and other population-level interventions, such as WHO recommendation on increasing price on tobacco products, could help reduce bidi smoking. In addition, state/neighborhood-specific interventions could also help address differential bidi smoking across India.

Indexed as

bidi smokingIndiaknowledge smoking dangerstobacco Indiatobacco-related disparities

Identifiers

PMID32760863
PMCPMC7398128

What OpenQuestion holds

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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.