» Articles » PMID: 32411884

Factors Associated with Smoking Initiation Among Saudi Male Adolescents: A Longitudinal Study

Overview
Journal Tob Prev Cessat
Date 2020 May 16
PMID 32411884
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Knowing country-specific predictors of smoking behaviour for adolescents is crucial for successful smoking prevention programs. This study aims to assess demographic and socio-cognitive variables related to smoking initiation among Saudi male adolescents.

Methods: Longitudinal data were collected at T1 (baseline) and at T2 (followup at 6 months) using a self-administered questionnaire. We assessed smoking behaviour and related demographic variables and socio-cognitive variables. Chi-squared tests and independent-samples t-tests were used to identify differences in baseline characteristics between smokers and non-smokers at T1. Furthermore, non-smokers at T1 were included in logistic regression analyses to examine the predictors of smoking initiation between T1 and T2.

Results: At T1, the non-smokers who were included in further analysis were 523 (84.9%) of whom 48 (9.2%) had initiated smoking at T2. They differed significantly from non-initiators, including having a more positive attitude towards smoking, reporting more social norms, modelling and pressure to smoke, having a lower self-efficacy to refrain from smoking and higher intention to smoke in the future (all p<0.001). The regression analysis revealed that: adolescents with disrupted-families, being of low academic achievement, with relatively high monthly-income families, having more smoking-peers, high-perceived pressure to smoke from parents (p=0.002) and teachers (p=0.001), have smoking supportive-norms of parents and having high intention to smoke in the future (p<0.001) were at higher risk of being smokers.

Conclusions: Findings suggest that health-promoting programs should address strengthening of self-efficacy and enhancing refusal skills against modelling of peers, pressure and norms of parents.

Citing Articles

Predicting Smoking Cessation Stages: An Insight from the Transtheoretical Model Using a Cross-Sectional Approach Among Adults in Saudi Arabia.

Sayed S, Gushgari O, Elgzar W Healthcare (Basel). 2024; 12(23).

PMID: 39684965 PMC: 11641517. DOI: 10.3390/healthcare12232343.


Exposure to parental and sibling smoking and future intentions to smoke among 13-15 years old school age children in Saudi Arabia.

Vundavalli S, Alfawzan A, Ramaiah V, Alruwaithi M, Almogbel A, Mathew M Pan Afr Med J. 2021; 38:158.

PMID: 33995765 PMC: 8077676. DOI: 10.11604/pamj.2021.38.158.27825.

References
1.
Weinstein N . The precaution adoption process. Health Psychol. 1988; 7(4):355-86. DOI: 10.1037//0278-6133.7.4.355. View

2.
de Vries H, Mudde A, Leijs I, Charlton A, Vartiainen E, Buijs G . The European Smoking Prevention Framework Approach (EFSA): an example of integral prevention. Health Educ Res. 2003; 18(5):611-26. DOI: 10.1093/her/cyg031. View

3.
Elders M, Perry C, Eriksen M, Giovino G . The report of the Surgeon General: preventing tobacco use among young people. Am J Public Health. 1994; 84(4):543-7. PMC: 1614776. DOI: 10.2105/ajph.84.4.543. View

4.
Laaksonen M, Rahkonen O, Karvonen S, Lahelma E . Socioeconomic status and smoking: analysing inequalities with multiple indicators. Eur J Public Health. 2005; 15(3):262-9. DOI: 10.1093/eurpub/cki115. View

5.
de Vries H, Kremers S, Smeets T, Brug J, Eijmael K . The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors. Am J Health Promot. 2008; 22(6):417-25. DOI: 10.4278/ajhp.22.6.417. View