ArticleFrontiers in public health2025
Associations between different types of screen-based sedentary behavior and sleep among Chinese children and adolescents.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous studies on the relationship between screen-based sedentary behaviors (SSB) and sleep among children and adolescents have yielded inconsistent findings, particularly concerning novel screen use. Limited research has explored whether associations differ across demographic subgroups. Therefore, this study aimed to explore associations between novel SSB and sleep among Chinese children and adolescents, as well as to assess the consistency of these associations across genders, educational levels, and urban-rural residence. Methods: Data were drawn from the China Family Panel Studies (CFPS) 2020-2022, involving 3,309 children and adolescents aged 10-18 years, 1,526 females. Sleep was measured by a self-reported average daily sleep duration, with < 8 h defined as insufficient sleep. SSB frequencies, covering five activities including online gaming and WeChat usage, were categorized into three levels by frequency (1 = No, 2 = Occasional, 3 = Daily). Generalized linear logistic regression models were used to analyze associations between various SSB and sleep, and subgroup analyses were conducted to examine heterogeneous effects. Results: Compared with participants who never watched short videos, those who watched short videos daily showed a 36% lower likelihood of insufficient sleep (OR = 0.64, 95% CI: 0.49-0.84). Compared with participants who never used online shopping, those who used online shopping daily showed a 24% higher likelihood of insufficient sleep (OR = 1.24, 95% CI: 1.03-1.49). Compared with participants who never used online gaming, those who used online gaming daily showed a 19% lower likelihood of insufficient sleep (OR = 0.81, 95% CI: 0.67-0.99). No significant associations were found between insufficient sleep and WeChat usage or online learning. Conclusions: Short-video watching and online gaming may be protective factors against insufficient sleep among Chinese children and adolescents, particularly in specific subgroups (e.g., males, rural residents, and junior high school students), while daily online shopping might be a risk factor for sleep insufficiency, especially among elementary and junior high school students. WeChat usage and online learning showed no significant associations with sleep. Future policies and research should prioritize monitoring of rapidly evolving screen-based sedentary behaviors (SSB), while implementing targeted, subgroup-specific interventions to mitigate their health impacts.
Indexed as
Identifiers
What OpenQuestion holds
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.