Evidence map›Paper›PMID 41572413›Full record

ArticleBMC psychology2026

A latent profile transition analysis of internet addiction for rural adolescents and its associations with emotional and interpersonal problems.

Guogang Xin, Jiaqian Xu, Ling Jiang, Pengyang Li, Qinian Chen, Qing Li, Peiyu Luo, Xiaohua Wang

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Guogang XinSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Jiaqian XuSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Ling JiangDepartment of School of Law and Public Administration, Yibin University, Yibin, China.
Pengyang LiSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Qinian ChenSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Qing LiSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Peiyu LuoSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China.
Xiaohua WangSchool of Government, Beijing Normal University, No.19 Xin Jie Kou Wai Street, Beijing, 100875, China. wxh@bnu.edu.cn.

Funding

STI 2030-Major Projects 2021ZD0200500
6 · The paper itself

Abstract

backgroundImproved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet addiction and psychosocial maladjustment. This study aims to explore the transition patterns of internet addiction and its associations with emotional and interpersonal problems over time.

methodsA one-year longitudinal survey was conducted among 782 middle school students in rural China. Latent Profile Analysis (LPA) was conducted to identify internet addiction profiles at two time points. Latent Profile Transition Analysis (LPTA) was then used to examine the transition patterns between profiles over time. Subsequently, statistical analyses were conducted to explore how these transitions were associated with emotional and interpersonal problems.

resultsThree profiles of internet addiction were identified: minimal-internet addiction, low-internet addiction, and high-internet addiction. Based on LPTA, most adolescents with higher internet addiction at T1 shifted to lower-severity profiles over time (high → minimal: 35.3%; low → minimal: 39.8%; high → low: 33.3%), while some with initially lower levels transitioned to more severe profiles (minimal → high: 6.9%; low → high: 12.2%; minimal → low: 25.7%). Transition into higher addiction profiles predicted increased depression, anxiety, and poorer relationships with parents, peers, and teachers. Conversely, reductions in addiction were linked to improved depressive symptoms.

conclusionsChanges in internet addiction have an impact on adolescent psychosocial maladjustment. Early detection and flexible interventions are essential in rural settings.

Indexed as

Adolescent BehaviorBehavior, AddictiveInternetInternet Addiction DisorderInterpersonal RelationsRural PopulationAdolescentChinaFemaleHumansLongitudinal StudiesMaleEmotional problemsInternet addictionInterpersonal problemsLatent Profile Transition AnalysisRural adolescents

Identifiers

PMID41572413
PMCPMC12903720

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LicenceCC BY-NC-ND
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