Excessive screen time was associated with mental health problems, yet whether the associations differ by screen content types remain unknown. Here, we conducted a cross-sectional study of adolescents from 156 junior and high school to investigate the association of types of on-screen content with mental health problems in China. The exposure variable was screen exposure, measured by the self-reported questionnaire. Symptoms of depression and anxiety were assessed by Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. Suicide-related behavior was adapted from the Centers for Disease Control's Youth Risk Behavior Surveillance. Generalized linear models and network analysis were performed. Of the 15,194 adolescents included in the final analysis, 8,019 were males and mean (SD) age was 14.50 (1.68) years. 34.6% of adolescents had an average screen time of ≥ 4 h/day on weekends. The most frequently used screen contents (≥ 4 h/d) were electronic games (9.1%), followed by short video (6.6%). Learning online had strong associations with depression (OR = 2.03, 95%CI: 1.29-3.11, P = 0.002) and anxiety (OR = 2.05, 95%CI: 1.24-3.27, P = 0.004) symptoms. The associations between on-screen content and mental health varied. The strongest edges linked to screen content types were edge between "Electronic games" and "Anhedonia" in the network model. "Control worry" was the most central nodes, followed by "Irritable" and "Worry A Lot". Findings suggested that both screen time and different types of screen content were associated with mental health problems among adolescents. Limiting screen exposure and developing effective interventions to improve mental health should be a priority.
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http://dx.doi.org/10.1007/s00787-024-02632-2 | DOI Listing |
Glob Ment Health (Camb)
January 2025
Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression.
View Article and Find Full Text PDFGlob Ment Health (Camb)
November 2024
Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Evidence on the effectiveness and implementation of mental health and psychosocial support (MHPSS) interventions for men in humanitarian settings is limited. Moreover, engagement and retention of men in such interventions has been challenging. Adaptations may therefore be required to improve the appropriateness and acceptability of these interventions for men.
View Article and Find Full Text PDFGlob Ment Health (Camb)
January 2025
Department of Psychiatry Mbarara University of Science and Technology, Mbarara, Uganda.
Background: Low- and middle-income countries (LMICs) bear a disproportionate burden of mental illness, with limited access to biomedical care. This study examined pathways to care for psychosis in rural Uganda, exploring factors influencing treatment choices.
Methods: We conducted a mixed-methods study in Buyende District, Uganda, involving 67 in-depth interviews and 4 focus group discussions (data collection continued until thematic saturation was reached) with individuals with psychotic disorders, family members, and local leaders.
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