Cross‐sectional and longitudinal associations of screen time with adolescent depression and anxiety.
Objective: The relationship between screen time and mental health in adolescents is debated in the scientific literature, with longitudinal studies lacking. This study examined the cross‐sectional and longitudinal associations between screen time and depression and anxiety and the influence of malad...
| Publicado en: | British Journal of Clinical Psychology Vol. 64; no. 4; pp. 873 - 888 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188520234&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188520234 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01446657 99B jtl: British Journal of Clinical Psychology issn: 01446657 maglogo: Y pubinfo: dt: Nov2025 vid: 64 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 188520234 184646569 188520234 188520234 10.1111/bjc.12547 188520234 ppf: 873 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Cross‐sectional and longitudinal associations of screen time with adolescent depression and anxiety. aug: au: Li, Sophie H. Batterham, Philip J. Whitton, Alexis E. Maston, Kate Khan, Asaduzzaman Christensen, Helen Werner‐Seidler, Aliza affil: School of Psychology, University of New South Wales, Sydney New South Wales,, Australia sug: subj: Depression Risk Factors Anxiety Risk Factors Screen Time Evaluation Mental Health In Adolescence Social Media Utilization Sex Factors Evaluation Human Funding Source Male Female Adolescence Child Cross Sectional Studies Prospective Studies Australia Self Report Gender Identity Social Class Internal Consistency Coefficient alpha Pearson's Correlation Coefficient Data Analysis Software Descriptive Statistics Confidence Intervals Psychometrics Interpersonal Relations Questionnaires Scales Adolescent: 13-18 years Child: 6-12 years Male Female ab: Objective: The relationship between screen time and mental health in adolescents is debated in the scientific literature, with longitudinal studies lacking. This study examined the cross‐sectional and longitudinal associations between screen time and depression and anxiety and the influence of maladaptive social media use and gender on these associations. Methods: We analysed a sample of 4058 adolescents (mean age = 13.9) recruited from 134 Australian schools as part of the Future Proofing Study, a 5‐year prospective cohort study of adolescent mental health. Linear mixed models used Time 1 and Time 2 (12‐month follow‐up) data to examine cross‐sectional and longitudinal associations of screen time with depression and anxiety and the influence of maladaptive social media use and gender. Results: Screen time was associated with mental health symptoms cross‐sectionally, with each additional hour of screen time corresponding with a 1.25 and.79 increase in measures of depression and anxiety, respectively. Longitudinally, these associations were markedly weaker. Each additional hour of screen time corresponded with only a.15 increase in depression at 12 months and showed no association with anxiety at 12 months. Neither gender nor maladaptive social media use substantially influenced screen time–symptom associations. Conclusions: Compared to cross‐sectional associations, longitudinal associations were weak, indicating that high screen time is unlikely to cause depression and anxiety; instead, observed relationships may be bidirectional. Experimental studies to understand the nuances underlying the relationship between screen time and mental health are needed to support the development of targeted strategies that promote healthy screen time habits among adolescents. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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