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Factors influencing tobacco use behaviour initiation – From the perspective of the Capability, Opportunity, Motivation- Behaviour (COM-B) Model

INTRODUCTION: Non-communicable diseases such as ischemic heart disease, cancer, diabetes, and chronic respiratory diseases are the leading causes of death worldwide, and are associated with tobacco use. The ultimate goal of health professionals and researchers working to combat smoking's extrem...

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Detalles Bibliográficos
Autores principales: Lakshmi, R., Romate, John, Rajkumar, Eslavath, George, Allen Joshua, Wajid, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245169/
https://www.ncbi.nlm.nih.gov/pubmed/37292260
http://dx.doi.org/10.1016/j.heliyon.2023.e16385
Descripción
Sumario:INTRODUCTION: Non-communicable diseases such as ischemic heart disease, cancer, diabetes, and chronic respiratory diseases are the leading causes of death worldwide, and are associated with tobacco use. The ultimate goal of health professionals and researchers working to combat smoking's extremely harmful health effects is to prevent smoking initiation. Nearly 5500 new smokers are added each day, for a total of almost 2 million new smokers each year. The COM-B model's primary goal is to determine what needs to be done for a behaviour change to occur. Behaviour modification requires an understanding of the factors that drive behaviour. AIM: The current qualitative study intends to explore the factors affecting tobacco use initiation (TUI) using the COM-B model, given the relevance of investigating the factors affecting TUI and the model. METHODS: The present qualitative study has used a directed content analysis approach. Seventeen participants who reported having started any kind of tobacco in the last six months were recruited in the study using a purposive sampling method to understand the factors affecting TUI. The data was collected through interviews, and all of the participants were from the Hyderabad-Karnataka region of Karnataka, India (a state which has been reported as having the highest prevalence of cigarette smoking in India). RESULTS: Directed content analysis revealed six categories: psychological capabilities affecting TUI (lack of knowledge about adverse health effects of tobacco, behavioural control, and poor academic performance), physical capabilities affecting TUI (lack of better physical resilience), physical opportunities favouring TUI (tobacco advertisements, easy access of tobacco products, and favourite star smoke on screen), social opportunities favouring TUI (peer influence, tobacco use by parents, tradition of hospitality, tobacco use as a normal behaviour, and toxic masculinity), automatic motivation causal factors of TUI (affect regulation, risk taking behaviours and tobacco use for pleasure) and reflective motivation causal factors of TUI (perceived benefits of tobacco, risk perception, perceived stress, and compensatory health beliefs). CONCLUSION: Identifying the factors that influence TUI may help to limit or prevent people from smoking their first cigarette. Given the importance of preventing TUI, the findings of this study indicated the factors that influence TUI, which can be valuable in improving behaviour change processes.