SynthesisChild and adolescent mental health2025
Review Article: The effectiveness of school-based interventions for reducing screen time - a systematic review and meta-analysis.
Synthesis in Child and adolescent mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Public health interventions for the prevention and management of overweight and obesity in children and adolescents: a rapid review.Frontiers in public health · 2026Pooled it
- A multilevel school-based intervention on sedentary time in children: effectiveness and socioeconomic moderation results from the CIPRES cluster-RCT.Frontiers in public health · 2026Trial
- Digital Media Literacy Group for Adolescents in Child and Adolescent Psychiatry: Prospective Multicenter Single-Arm Feasibility Study.JMIR formative research · 2026Article
- Predictors of Weekday and Weekend Screen Time in a Clinical Child and Adolescent Psychiatric Sample (Aged 12-18 Years).Children (Basel, Switzerland) · 2026Article
- Reciprocal Within-Person Dynamics Between Internet Gaming Disorder Symptoms, Physical Activity, and Loneliness Among Chinese Adolescent Gamers: Three-Wave Prospective Cohort Study.JMIR serious games · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExcessive screen time is associated with adverse physical and mental well-being for children. Interventions to reduce screen time in different settings have been studied extensively, with mixed findings. We systematically reviewed evidence that evaluated the effects of screen time reduction interventions conducted in school settings on screen usage, physical, and mental health of school children.
methodsPubMed, Cochrane, PsycInfo, and Education Resources Information Centre (ERIC) (from inception till 12 September 2024) were searched for relevant randomised and cluster-randomised trials. We assessed risk of bias using the Cochrane risk of bias 2 tool, performed Bayesian random-effects meta-analysis, and rated certainty of evidence using GRADE.
resultsThirty-nine studies (95,033 participants), published between 1999 and 2024, were included. High risk of bias and great heterogeneity contributed to low-certainty evidence for most outcomes. School-based interventions modestly reduced screen time (SMD: -0.10, 95% CrI: -0.14, -0.06, 27 studies, n = 19,751, I
conclusionsSchool-based interventions modestly reduce screen time and increase physical activity, but their effects on BMI are inconclusive. Variations in local school systems and cultural practices might have contributed to heterogeneity in study findings and should be considered in policy decisions. Future studies should strengthen the cluster-randomization process and include academic performance as an outcome.
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Registered trials
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.