Evidence map›Paper›PMID 40067373›Full record

ArticleEuropean journal of pediatrics2025

Electronic device usage pattern is associated with sleep disturbances in adolescents: a latent class analysis.

Qian-Wen Lin, Shu-Han Wei, Yong-Xi Wu, Shi-Chao Wei, Yi-Qi Lin

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Digital Eye Behaviour Phenotypes and Their Association with Axial Length and High Myopia in Chinese Adolescents.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
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

5 authors.

Qian-Wen Lin *Department of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 Dong Street, Fuzhou, 350001, China.
Shu-Han Wei *Graduate School of Dalian Medical University, Dalian, China.
Yong-Xi WuDepartment of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 Dong Street, Fuzhou, 350001, China.
Shi-Chao WeiDepartment of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 Dong Street, Fuzhou, 350001, China. wei0506sc@126.com.
Yi-Qi LinDepartment of Sleep Center, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, No. 134 Dong Street, Fuzhou, 350001, China. linyiqi2@126.com.

Funding

Fujian Provincial Health Technology Project No. 2021QNA006Natural Science Youth Innovation Fund of Fujian Province No. 2021J05070Startup Fund for scientific research, Fujian Medical University No. 2020QH1147
6 · The paper itself

Abstract

This study aimed to identify individual differences in adolescents' electronic device usage patterns and explore their unique associations with sleep disturbances. From May to June 2019, students from 18 middle schools in Fuzhou were invited to fill out questionnaires about sleep health and electronic device usage, including screen time, usage timing, usage purpose, pre-sleep usage, and the presence of devices in bedrooms. Latent class analysis was employed to identify distinct usage patterns, and their associations with sleep disturbances were subsequently explored. Four usage patterns were identified among a total of 19,229 adolescents: (1) "minor exposure-learning," (2) "weekends dominance-game playing," (3) "weekends and pre-sleep dominance-learning," and (4) "excessive exposure-game playing." Compared to Pattern 1, a higher likelihood of insufficient sleep was found during weekdays and weekends in Pattern 3 (weekdays-odds ratio (OR) 1.15, 95% confidential interval (CI) 1.0-1.28; weekends-OR 1.19, 95% CI 1.09-1.30) and Pattern 4 (weekdays-OR = 1.48, 95% CI 1.31-1.68; weekends-OR = 1.40, 95% CI 1.27-1.53) but only during weekends in Pattern 2 (OR = 1.18, 95% CI 1.07-1.30). Besides, Patterns 2-4 were related to delayed bedtime, insomnia symptoms, and recurrent sleep paralysis or nightmares.

conclusionFour electronic device usage patterns were found among adolescents. Compared with the pattern of minimal screen exposure and a learning purpose, other patterns were more likely to be associated with sleep disturbances. These findings carry significant implications for healthy electronic device usage and potential strategies to improve adolescents' sleep health. WHAT IS KNOWN: • As screen use among adolescents increases, promoting healthy digital habits is crucial for reducing sleep disruptions and enhancing well - being. • Existing recommendations on adolescents' electronic device use mainly focus on usage duration and lack systematic advice. WHAT IS NEW: • Latent class analysis (LCA) identified four electronic device usage patterns among Chinese adolescents, based on screen time, usage timing, purpose, pre-sleep usage, and device presence in bedrooms. • Reducing usage, especially pre-bedtime, using devices for education, and keeping them out of the bedroom were less linked to sleep issues.

Indexed as

Adolescent BehaviorScreen TimeSleep Wake DisordersVideo GamesAdolescentChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleSurveys and QuestionnairesAdolescentsElectronic devicePatternSleep

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.