Evidence map›Paper›PMID 39704790›Full record

ArticleEuropean child & adolescent psychiatry2025

Association of types of on-screen content with mental health problems among Chinese adolescents.

Chengcheng Zhang, Weijing Peng, Zhiyan Chen, Cong Lai, Shuiyuan Xiao, Mi Hu

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In one paragraph

Article in European child & adolescent psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chengcheng Zhang *Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Weijing Peng *Hunan Academy of Education Sciences, Changsha, China.
Zhiyan ChenDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Cong LaiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Shuiyuan XiaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Mi HuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China. humi213@163.com.

Funding

National Natural Science Foundation of China 8190121261
6 · The paper itself

Abstract

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.

Indexed as

Adolescent BehaviorAnxietyDepressionScreen TimeVideo GamesAdolescentChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleAdolescentMental healthNetwork analysisScreen contentScreen time

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.