Evidence map›Paper›PMID 42158198›Full record

Observational studyFrontiers in public health2026

Screen time, physical activity, sleep, and depression risk in adolescents: an observational study based on the compositional isotemporal substitution model.

Hao Guo, Mengting Man, Zheng Hu, Yun Liu, Wen Chen, Sainan Wang, Xinmiao Tang, Anyi Geng, Wenhua Ruan, Wenzhuo Xu and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

16 authors.

Hao Guo *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Mengting Man *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Zheng Hu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yun Liu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Wen Chen *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Sainan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Xinmiao TangHefei 168 High School, Hefei, Anhui, China.
Anyi GengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Wenhua RuanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Wenzhuo XuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Kele JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Haiyan ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jun DuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Guifang JinDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Xiaopeng ZhangHefei Center for Disease Control and Prevention, Hefei, Anhui, China.
Zhihua ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adolescent depression is linked to daily activities like screen use, physical activity, and sleep. Most studies examine these factors separately. This study investigates the relationship between screen time, physical activity, sleep, and depressive symptoms in adolescents using compositional isotemporal substitution models (CISM). Methods: A cross-sectional study collected data from 6,666 adolescents in Hefei, China, using self-administered questionnaires. Compositional Data Analysis was used to examine 24-h activity patterns and their association with depression. A compositional linear regression model was constructed to explore the relationships between screen time, low-intensity (LPA) and moderate-to-vigorous physical activity (MVPA), sleep (SLP), and adolescent depression. The CISM was then applied to analyze the effects of reallocating and substituting time between different activities on depression scores. Results: The compositional linear regression model revealed a significant positive correlation between screen time and depression relative to the remaining activities (β Conclusion: The study highlights that reducing screen time and increasing physical activity or sleep can help alleviate depressive symptoms in adolescents.

Indexed as

DepressionExerciseScreen TimeSleepAdolescentChinaCross-Sectional StudiesFemaleHumansMaleRisk FactorsSurveys and Questionnairesadolescentscompositional isotemporal substitution modeldepressionphysical activityscreen time

Identifiers

PMID42158198
PMCPMC13182083

What OpenQuestion holds

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LicenceCC BY
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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.