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Assessing the Dependence and Perceptions of the Harm and Addictiveness of Electronic Cigarettes among Saudi University Students: A Cross-Sectional Study.
- Source :
- Healthcare (2227-9032); Jul2024, Vol. 12 Issue 13, p1289, 11p
- Publication Year :
- 2024
-
Abstract
- (1) Background: The rising prevalence of e-cigarette use among university students necessitates a comprehensive understanding of dependence levels and associated factors. This study investigates e-cigarette dependence among Jazan University students in Saudi Arabia. (2) Methods: With the use of a cross-sectional design, data were collected from 1187 students through an online survey from January to April 2024. Dependence levels were assessed using the Penn State Electronic Cigarette Dependence Index (PS-ECDI), and the Arabic version of the questionnaire was validated through pilot testing. Multivariable logistic regression analysis was employed to identify factors associated with e-cigarette dependence. (3) Results: The results indicated that among current e-cigarette users, 37.4% had low dependence, 34.4% had medium dependence, and 13.8% had high dependence. A significant proportion of current and ever users regarded e-cigarettes to be less harmful (50.6% and 44.4%, respectively) and less addictive (37.9% and 32.3%, respectively) than cigarettes. Significant factors influencing dependence included gender, with males showing higher odds of medium (AOR = 12.8, 95% CI: 3.4–47.6) and low dependence (AOR = 9.7, 95% CI: 2.5–37.3) compared to females. Longer duration of e-cigarette use (>2 years) was strongly associated with high dependence (AOR = 50, 95% CI: 7.7–324). Daily use and multiple quit attempts were also significant predictors of higher dependence levels. (4) Conclusions: These findings highlight the substantial e-cigarette dependence among university students and underscore the need for targeted interventions to address this growing public health concern. [ABSTRACT FROM AUTHOR]
- Subjects :
- DRUG addiction risk factors
RISK assessment
CROSS-sectional method
SMOKING cessation
COMPULSIVE behavior
ELECTRONIC cigarettes
DRUG addiction
QUESTIONNAIRES
MULTIPLE regression analysis
SMOKING
SCIENTIFIC observation
STATISTICAL sampling
SEX distribution
DESCRIPTIVE statistics
DISEASE prevalence
CHI-squared test
MANN Whitney U Test
ATTITUDE (Psychology)
SURVEYS
ODDS ratio
RESEARCH
ACADEMIC achievement
PSYCHOLOGY of college students
STUDENT attitudes
RISK perception
COMPARATIVE studies
CONFIDENCE intervals
PUBLIC health
TOBACCO products
SOCIODEMOGRAPHIC factors
DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 13
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 178691028
- Full Text :
- https://doi.org/10.3390/healthcare12131289