← Search

Table · dataset · 2026

Table 2_Association between discretionary screen time and depressive symptoms in Chinese adolescents: a cross-sectional study.docx

Listed in figshare

Description

Background<p>Adolescents globally exhibit growing engagement with discretionary screen time, but its association with depressive symptoms remains unclear in developing economies.</p>Objective<p>To examine the relationship between discretionary screen time and depressive symptoms among Chinese adolescents.</p>Methods<p>A cross-sectional study of 4,706 adolescents in Maoming City, Guangdong Province, China. Participants were stratified into four discretionary screen time categories: <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.</p>Results<p>The prevalence of depressive symptoms was 29.7% (1,398/4,706).

Read the rest (3 more)

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 <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 < 0.001) for 2–4 h, and 2.54 (95% CI: 2.04–3.16; p < 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 < 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 >0.05).</p>Conclusion<p>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.</p>

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Tabular 65%
Provenance · 11 source records, 18 field assertions
SourceKeyLast seenRaw
ZivaHub · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
Deakin Research Online · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
DMU Figshare · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
HKU DataHub · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
Swinburne Figshare · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
DaYta Ya Rona · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
SUNScholarData · removed upstreamoai:figshare.com:article/3403997113 d agoJSON v1
figshareoai:figshare.com:article/3403997113 d agoJSON v1
Loughborough Research Repository · removed upstreamoai:figshare.com:article/3403997112 d agoJSON v1
GRANTS Data · removed upstreamoai:figshare.com:article/3403997112 d agoJSON v1
UP Research Data Repository · removed upstreamoai:figshare.com:article/3403997112 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · figshare comconnector:figshare_com@1.0.0
concepts[field].anzsrc:field:321501mapping · figshare comvocabulary-mapper@1.0.0keywords['Foetal Development and Medicine']
concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:chemistrymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:engineeringmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:humanitiesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:social-sciencemapping · figshare comconnector:figshare_com@1.0.0
concepts[modality].local:modality:tabularenrichment · figshare comkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · figshare comconnector:figshare_com@1.0.0/metadata/dc/description
licensesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/rights
publication_datesource · figshare comconnector:figshare_com@1.0.0
titlesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/title