Evidence map›Paper›PMID 39919294›Full record

Observational studyJournal of medical Internet research2025

Urban-Rural Differences in the Association Between Internet Use Trajectories and Depressive Symptoms in Chinese Adolescents: Longitudinal Observational Study.

Yujie Liu, Xin Ge, Ying Wang, Xue Yang, Shangbin Liu, Chen Xu, Mi Xiang, Fan Hu, Yong Cai

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Trial
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  5. 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

9 authors.

Yujie LiuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-6093-9509
Xin GePublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-3280-388X
Ying WangPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-6036-4135
Xue YangJC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-7892-2994
Shangbin LiuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-9455-5282
Chen XuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0004-7158-5402
Mi XiangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0009-9946-9768
Fan HuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-7929-6953
Yong CaiPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-5706-7906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet use exhibits diverse trajectories during adolescence, which may contribute to depressive symptoms. Currently, it remains unclear whether the association between internet use trajectories and depressive symptoms varies between urban and rural areas.

objectiveThis study aimed to investigate the association between internet use trajectories and adolescent depressive symptoms and to explore variation in this association between urban and rural areas.

methodsThis longitudinal study used 3-wave data from the 2014-2018 China Family Panel Study. Weekly hours of internet use and depressive symptoms were measured using self-reported questionnaires. Latent class growth modeling was performed to identify the trajectories of internet use. Multivariable logistic regressions were used to examine the association between internet use trajectories and depressive symptoms, stratified by rural and urban residence.

resultsParticipants were 2237 adolescents aged 10 to 15 years at baseline (mean age 12.46, SD 1.73 years). Two latent trajectory classes of internet use were identified: the low-growth group (n=2008, 89.8%) and the high-growth group (n=229, 10.2%). The high-growth group was associated with higher odds of depressive symptoms (OR 1.486, 95% CI 1.065-2.076) compared to the low-growth group. In the stratified analysis, the association between internet use trajectories and depressive symptoms was significant solely among rural adolescents (OR 1.856, 95% CI 1.164-2.959).

conclusionsThis study elucidates urban-rural differences in the associations between trajectories of internet use and adolescent depressive symptoms. Our findings underscore the importance of prioritizing interventions for rural adolescents' internet use behaviors to mitigate negative effects on their mental health.

Indexed as

DepressionInternet UseRural PopulationUrban PopulationAdolescentChildChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleSurveys and Questionnairesadolescentdepressive symptomsinternet useruraltrajectoryurban

Identifiers

PMID39919294
PMCPMC11845883

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.