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        <datestamp>2026-09-24T04:35:08Z</datestamp>
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          <dc:title>Table 3_Attitudinal and social factors associated with e-cigarette use among students in formal and non-formal educational settings in Chiang Mai, Thailand.docx</dc:title>
          <dc:creator>Pimploy Choradon (25102054)</dc:creator>
          <dc:creator>Wichuda Jiraporncharoen (666510)</dc:creator>
          <dc:creator>Pasiri Singhasiri (25102057)</dc:creator>
          <dc:creator>Jacqueline E. Hackett (25102060)</dc:creator>
          <dc:creator>Chaisiri Angkurawaranon (666509)</dc:creator>
          <dc:creator>Thanachat Yotruangsri (17731343)</dc:creator>
          <dc:creator>Apinun Aramrattana (4642285)</dc:creator>
          <dc:creator>Kanittha Thaikla (4642276)</dc:creator>
          <dc:creator>Awirut Oon-arom (9645788)</dc:creator>
          <dc:creator>Thichakorn Tibsri (25102063)</dc:creator>
          <dc:creator>Nida Buawangpong (8969426)</dc:creator>
          <dc:subject>Public Health and Health Services not elsewhere classified</dc:subject>
          <dc:subject>associated factors</dc:subject>
          <dc:subject>behavior</dc:subject>
          <dc:subject>e-cigarettes</dc:subject>
          <dc:subject>prevalence</dc:subject>
          <dc:subject>secondary school students</dc:subject>
          <dc:description>Background&lt;p&gt;E-cigarette use has increased globally and raises concerns about its potential health impacts, particularly among young people, in whom prevalence continues to rise.&lt;/p&gt;Objective&lt;p&gt;To identify factors associated with its use among students enrolled in formal and non-formal educational institutions in Chiang Mai, Thailand.&lt;/p&gt;Methods&lt;p&gt;This is a cross-sectional observational study in students, aged 12–25 years old. Data were collected using a structured questionnaire covering sociodemographic characteristics, e-cigarette use behaviors, perceived risk/benefit of e-cigarette use, attitudes toward e-cigarettes, and legal awareness regarding e-cigarettes. Data were analyzed using descriptive statistics and multivariable logistic regression adjusting for age, sex, and school type.&lt;/p&gt;Results&lt;p&gt;Of the 900 participants, 30.8% had used e-cigarettes and 18.1% reported past-3-month e-cigarette use. Factors significantly associated with past-3-month e-cigarette use included having close contacts who use e-cigarettes (aOR 5.42, 95% CI 3.54–8.30), and favorable attitudes toward e-cigarettes (aOR 7.88 per interquartile-range increase [score 0 to 5], 95% CI 3.97–15.64; overall p &lt; 0.001). In contrast, higher perceived risk/benefit of e-cigarette use (aOR 0.53 per interquartile-range increase [score 13 to 18], 95% CI 0.35–0.80; overall p = 0.011), and greater legal awareness regarding e-cigarettes (aOR 0.41 per interquartile-range increase [score 10 to 16], 95% CI 0.24–0.71; overall p &lt; 0.001) were associated with reduced odds of e-cigarette use.&lt;/p&gt;Conclusion&lt;p&gt;Social environmental factors, attitudes toward e-cigarettes, perceived risk/benefit of e-cigarettes, and legal awareness were associated with e-cigarette use among young people. These findings may inform evidence-based public health policies and comprehensive prevention strategies aimed at improving risk perception, modifying attitudes toward e-cigarettes, and enhancing knowledge of regulatory frameworks. Future longitudinal intervention studies are needed to evaluate the strategies’ effectiveness.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-24T04:35:08Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fpubh.2026.1877851.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_3_Attitudinal_and_social_factors_associated_with_e-cigarette_use_among_students_in_formal_and_non-formal_educational_settings_in_Chiang_Mai_Thailand_docx/33979588</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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