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Prevalence of E-Cigarettes and Its Role in Shaping Physical Activity and Mental Health in Saudi Arabia: A Cross-Sectional Survey.

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Title: Prevalence of E-Cigarettes and Its Role in Shaping Physical Activity and Mental Health in Saudi Arabia: A Cross-Sectional Survey.
Authors: Shehata, Shehata Farag (AUTHOR), S. Al-Qahtani, Ali (AUTHOR), El-Shishtawy, Mai (AUTHOR), Turki Alshahrani, Huda (AUTHOR), Saeed Alshmrani, Layan (AUTHOR), Essa Y Hammati, Shaden (AUTHOR), Abdullah S Alshahrani, Fahad (AUTHOR), Turki M Alqahtani, Saud (AUTHOR), Abdulrahman Nasser, Asma (AUTHOR), Ahmed Asiri, Rima (AUTHOR), Yasser Mohamed, Aliaa (AUTHOR), Taha, Sarah Hamed N. (AUTHOR), Mohamed Ghazy, Ramy (AUTHOR)
Source: Substance Use & Misuse. 2026, Vol. 61 Issue 10, p1645-1657. 13p.
Subjects: Risk assessment, Cross-sectional method, Mental health, Psychological distress, Smoking, Electronic cigarettes, Statistical sampling, Interviewing, Logistic regression analysis, Descriptive statistics, Chi-squared test, Structural equation modeling, Odds ratio, Data analysis software, Confidence intervals, Physical activity
Geographic Terms: Saudi Arabia
Abstract: Background: The rise of electronic cigarettes (e-cigarettes) has attracted both former smokers and teenagers looking for an alternative nicotine source. This study aimed to assess the prevalence of e-cigarette use, the determinants associated with its use, dependence, and the impact of e-cigarette use on physical activity and mental health among the Saudi population. Methods: A cross-sectional study was conducted from September 27, 2024, to October 21, 2024. We used Penn State Nicotine Dependence Index, the Kessler Psychological Distress Scale, and the Global Physical Activity Questionnaire. Convenience and snowball sampling methods were used to recruit participants using an electronic survey questionnaire and face-to-face interviews. Results: Among 3092 participants, the prevalence of e-cigarette use was 9.8%.Nicotine dependence was notable among users, with 41.7% exhibiting medium dependence and 22.2% reporting high dependence. Physical activity levels varied: 22.3% engaged in high activity, 34.1% in moderate, and 24.3% in low activity. Regarding mental health, 42.2% experienced high psychological distress. Participants with high physical activity had significantly higher odds of e-cigarette use [crude odds ratio (cOR) = 1.79, 95% confidence interval (CI): 1.29–2.49], while those with high distress had lower odds [cOR = 0.27, 95% CI: 0.19–0.39]. Path analysis revealed that mental distress positively predicted e-cigarette dependence ( β = 0.118), whereas physical activity showed a small positive association with dependence ( β = 0.209). Conclusions: E-cigarette use in this population is significantly influenced by socio-demographic factors, physical activity levels, and mental health status. The complex relationship observed, where high physical activity is associated with use and mental distress is protective against initiation but predictive of dependence, highlights the need for integrated public health strategies. Interventions should focus on high-risk groups and address the dual role of lifestyle and psychological factors in both prevention and dependence management. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Prevalence of E-Cigarettes and Its Role in Shaping Physical Activity and Mental Health in Saudi Arabia: A Cross-Sectional Survey.
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  Data: <searchLink fieldCode="AR" term="%22Shehata%2C+Shehata+Farag%22">Shehata, Shehata Farag</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22S%2E+Al-Qahtani%2C+Ali%22">S. Al-Qahtani, Ali</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El-Shishtawy%2C+Mai%22">El-Shishtawy, Mai</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turki+Alshahrani%2C+Huda%22">Turki Alshahrani, Huda</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saeed+Alshmrani%2C+Layan%22">Saeed Alshmrani, Layan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Essa+Y+Hammati%2C+Shaden%22">Essa Y Hammati, Shaden</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdullah+S+Alshahrani%2C+Fahad%22">Abdullah S Alshahrani, Fahad</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turki+M+Alqahtani%2C+Saud%22">Turki M Alqahtani, Saud</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdulrahman+Nasser%2C+Asma%22">Abdulrahman Nasser, Asma</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahmed+Asiri%2C+Rima%22">Ahmed Asiri, Rima</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yasser+Mohamed%2C+Aliaa%22">Yasser Mohamed, Aliaa</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taha%2C+Sarah+Hamed+N%2E%22">Taha, Sarah Hamed N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohamed+Ghazy%2C+Ramy%22">Mohamed Ghazy, Ramy</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Substance+Use+%26+Misuse%22">Substance Use & Misuse</searchLink>. 2026, Vol. 61 Issue 10, p1645-1657. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: The rise of electronic cigarettes (e-cigarettes) has attracted both former smokers and teenagers looking for an alternative nicotine source. This study aimed to assess the prevalence of e-cigarette use, the determinants associated with its use, dependence, and the impact of e-cigarette use on physical activity and mental health among the Saudi population. Methods: A cross-sectional study was conducted from September 27, 2024, to October 21, 2024. We used Penn State Nicotine Dependence Index, the Kessler Psychological Distress Scale, and the Global Physical Activity Questionnaire. Convenience and snowball sampling methods were used to recruit participants using an electronic survey questionnaire and face-to-face interviews. Results: Among 3092 participants, the prevalence of e-cigarette use was 9.8%.Nicotine dependence was notable among users, with 41.7% exhibiting medium dependence and 22.2% reporting high dependence. Physical activity levels varied: 22.3% engaged in high activity, 34.1% in moderate, and 24.3% in low activity. Regarding mental health, 42.2% experienced high psychological distress. Participants with high physical activity had significantly higher odds of e-cigarette use [crude odds ratio (cOR) = 1.79, 95% confidence interval (CI): 1.29–2.49], while those with high distress had lower odds [cOR = 0.27, 95% CI: 0.19–0.39]. Path analysis revealed that mental distress positively predicted e-cigarette dependence ( β = 0.118), whereas physical activity showed a small positive association with dependence ( β = 0.209). Conclusions: E-cigarette use in this population is significantly influenced by socio-demographic factors, physical activity levels, and mental health status. The complex relationship observed, where high physical activity is associated with use and mental distress is protective against initiation but predictive of dependence, highlights the need for integrated public health strategies. Interventions should focus on high-risk groups and address the dual role of lifestyle and psychological factors in both prevention and dependence management. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10826084.2026.2617442
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        Text: English
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      – SubjectFull: Electronic cigarettes
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      – SubjectFull: Statistical sampling
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      – SubjectFull: Saudi Arabia
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