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        <datestamp>2026-10-01T05:45:01Z</datestamp>
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          <dc:title>Table 2_Association between discretionary screen time and depressive symptoms in Chinese adolescents: a cross-sectional study.docx</dc:title>
          <dc:creator>Zhi Xu (270587)</dc:creator>
          <dc:creator>Shuye Yang (18179914)</dc:creator>
          <dc:creator>Shibin Wang (2180660)</dc:creator>
          <dc:creator>Xing Wang (154377)</dc:creator>
          <dc:subject>Foetal Development and Medicine</dc:subject>
          <dc:subject>adolescents</dc:subject>
          <dc:subject>Chinese adolescents</dc:subject>
          <dc:subject>cross-sectional study</dc:subject>
          <dc:subject>depressive symptoms</dc:subject>
          <dc:subject>discretionary screen time</dc:subject>
          <dc:description>Background&lt;p&gt;Adolescents globally exhibit growing engagement with discretionary screen time, but its association with depressive symptoms remains unclear in developing economies.&lt;/p&gt;Objective&lt;p&gt;To examine the relationship between discretionary screen time and depressive symptoms among Chinese adolescents.&lt;/p&gt;Methods&lt;p&gt;A cross-sectional study of 4,706 adolescents in Maoming City, Guangdong Province, China. Participants were stratified into four discretionary screen time categories: &lt;1 h (n = 1,372), 1–2 h (n = 1,277), 2–4 h (n = 1,032), and ≥4 h (n = 1,025). Depressive symptoms were assessed using the validated CESD-9, with a cutoff score of ≥10. The primary analysis was a multilevel logistic regression model with random intercepts for school and class, adjusted for all measured covariates except BMI, anxiety and insomnia; a model additionally adjusted for BMI, anxiety and insomnia served as a sensitivity analysis. Subgroup analyses evaluated potential effect modification.&lt;/p&gt;Results&lt;p&gt;The prevalence of depressive symptoms was 29.7% (1,398/4,706). In the primary multilevel model (random intercepts for school and class; adjusted for sociodemographic, socioeconomic and lifestyle factors, without BMI, anxiety and insomnia), compared with the &lt;1 h reference group, the odds ratios were 1.21 (95% CI: 0.98–1.49; p = 0.082) for 1–2 h, 1.88 (95% CI: 1.52–2.33; p &lt; 0.001) for 2–4 h, and 2.54 (95% CI: 2.04–3.16; p &lt; 0.001) for ≥4 h; each screen-time category increment was associated with 39% higher odds of depressive symptoms (OR = 1.39, 95% CI: 1.29–1.49; p &lt; 0.001). When additionally adjusted for BMI, anxiety and insomnia (sensitivity analysis, Model 4), the associations were attenuated but remained statistically significant for the higher categories (≥4 h: OR = 1.69, 95% CI: 1.28–2.22; per-category OR = 1.19, 95% CI: 1.09–1.29). Subgroup analyses revealed no statistically significant evidence of effect modification (all p-interaction &gt;0.05).&lt;/p&gt;Conclusion&lt;p&gt;Prolonged discretionary screen time is significantly associated with higher odds of depressive symptoms among Chinese adolescents, indicating a graded association that strengthens with increasing screen time. These findings are relevant to public-health monitoring of discretionary screen use in adolescents.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T05:45:01Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fped.2026.1957282.s003</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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