ArticleBMC public health2022
Poor implementation of tobacco control measures and lack of education influences the intention to quit tobacco: a structural equation modelling approach.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Motivations and Barriers to Orthodontics as a Career Choice: Findings From a Mixed Methods Study.Journal of dental education · 2026Article
- Policy Awareness Outweighs Health Knowledge: A Structural Equation Modeling Analysis of Tobacco Quit Intention Determinants in Vietnam's Provincial Global Adult Tobacco Survey 2024.Tobacco use insights · 2025Article
- The effectiveness of a theory -based health education program on waterpipe smoking cessation in Iran: one year follow-up of a quasi-experimental research.BMC public health · 2024Article
- A predictive model of waterpipe smoking cessation among women in southern Iran: application of the theory of planned behavior.BMC public health · 2023Article
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9 authors.
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Abstract
backgroundTobacco consumption remains a public health issue and is one of the major causes of death in India. This study presents a validated conceptual model to assess the interaction between education, perceived application of tobacco control measures, type of tobacco and their effects on the intention to quit tobacco. Additionally, the direct and mediating roles of tobacco use -frequency, -duration, and -dependency on the intention to quit is also investigated.
methodsAn analytical cross-sectional study was carried out, and data from tobacco users of six randomly selected states in India was collected via face-to-face interviews. Structural equation modeling (SEM) was performed using R v 3.6.3 to test the model fit and to explore the association between tobacco control measures and the intention to quit tobacco.
resultsFrom 1962 tobacco users, 43.7% wanted to quit tobacco immediately. Tambakoo (57.7%) was the most common type of tobacco used and 68.9% said that minors could buy tobacco. Findings from SEM showed that that one standard deviation (SD) increase in the perceived application of tobacco control measures is directly associated with a 0.181 SD increase in the intention to quit tobacco (B = 0.181, P < 0.001), and this effect was partially mediated by frequency of tobacco consumption (B = 0.06, P < 0.05). Also, a better education level was associated with a higher intention to quit tobacco (B = 0.14, P < 0.001).
conclusionsTo conclude, the application of tobacco control measures and a better education level may positively affect the intention to quit tobacco. The frequency of tobacco use and the number of influencers play an essential role in deciding to quit. In future, longitudinal studies are recommended to further substantiate the evidence.
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