ArticleBMJ open2022
Theoretical constructs of smoking cessation among current tobacco smokers in India: a secondary analysis of Global Adult Tobacco Survey-2 (2016-2017).
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Complementary and Alternative Medicine/Therapy for Tobacco Cessation in India: A Secondary Analysis of GATS-1 and 2.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
backgroundQuitting tobacco smoking is a complex process, and the transtheoretical model describes the various stages of behaviour change that smokers experience to stop smoking. Predictors of intention to quit and stage of behavioural change could assist policy-makers in establishing tailor-made strategies to offer support.
objectiveIn the current study, we analysed the determinants of cessation among 9499 current smokers of India recorded during the second Global Adult Tobacco Survey (2016-2017).
methodsBivariate analysis, multivariate analysis (binary logistic regression was performed for past quit attempts and intention to quit smoking in the future; multinomial logistic regression to understand predictors of various stages of change determining cessation behaviour of current smokers) was undertaken.
resultsThe majority of the smokers was men (91.0%), in 25-44 years age group, (42.3%), daily wagers (37.4%) and resided in the rural area (73.3%), with bidi being the most commonly smoked product (72%). Nearly 72% tried to quit without any assistance with 36.6% (precontemplation), 27% (contemplation), 28% (preparation (or action)) and 8.1% in (relapse) stage. Men ((1.049); 95% CI 1.047 to 1.051), the primary (1.192; 95% CI 1.190 to 1.193) as well as higher education, being married (1.231; 95% CI 1.229 to 1.234) and urban residence (1.167; 95% CI 1.1.65 to 1.168) were found to be associated with higher prevalence of previous quit attempts. The regression modelling found out that intent to quit reduced with increasing age and was similarly prevalent with any level of education.
conclusionUnderstanding stages of behavioural change could assist the stakeholders in developing individualised interventions along with the development of intensive cessation protocols in clinical and public health settings.
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