Evidence map›Paper›PMID 40473945›Full record

ArticleSocial psychiatry and psychiatric epidemiology2026

Longitudinal relationships between ADHD symptoms and internet addiction among Chinese adolescents: a cross-lagged panel network analysis.

Xiang Niu, Yu-Xin Xie, Li-Xing Gou, Zheng-Ling Jing, Jian-Jun Huang, Hai-Zhen Wang, Jin-Liang Wang

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Article in Social psychiatry and psychiatric epidemiology, 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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7 authors.

Xiang NiuFaculty of Psychology, Southwest University, Chongqing, 400715, China.
Yu-Xin XieFaculty of Psychology, Southwest University, Chongqing, 400715, China.
Li-Xing GouCenter for Mental Health Education, Nanchong Health School of Sichuan Province, Nanchong, 637002, China.
Zheng-Ling JingFaculty of Psychology, Southwest University, Chongqing, 400715, China.
Jian-Jun HuangFaculty of Psychology, Southwest University, Chongqing, 400715, China.
Hai-Zhen WangPreschool Education College, Chongqing Youth and Vocational Technical College, Chongqing, China.
Jin-Liang WangFaculty of Psychology, Southwest University, Chongqing, 400715, China. wjl200789@163.com.

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6 · The paper itself

Abstract

backgroundThe comorbidity mechanisms between ADHD symptoms and Internet addiction are not yet clear, and network analysis provides a new perspective for clarifying this research question.

aimTherefore, this study employed a cross-lagged panel network model to examine how specific symptom levels of ADHD and Internet addiction interact.

methodA total of 732 Chinese adolescents (55.6% girls, Mage = 13.95 years, SD = 1.55) completed assessments at three time points spaced six months apart.

resultsBetween 4.51 and 6.83% of participants showed severe Internet issues, and 8.06-9.97% fell into the ADHD abnormal range across the three time points. The results of the contemporaneous network indicated that the bridge symptom at all three-time points was "Inattention". The results of the temporal network showed: (1) the core symptoms responsible for the comorbidity mostly belong to ADHD symptoms; (2) the comorbidity mechanisms change over time, with the most predictive bridge symptom being "Hyperactivity" in the T1 to T2 network, and changing to "Inattention" in the T2 to T3 network. In addition, "Excessive use" was the most vulnerable symptom.

conclusionThese findings suggest that hyperactivity in early adolescence and inattention at later stages may serve as temporal risk indicators for Internet addiction, and that interventions targeting these symptoms could be worthy of further investigation.

Indexed as

Adolescent BehaviorAttention Deficit Disorder with HyperactivityBehavior, AddictiveInternetInternet Addiction DisorderAdolescentChinaComorbidityEast Asian PeopleFemaleHumansLongitudinal StudiesMaleADHDComorbidityCross-lagged panel designInternet addictionNetwork analysis

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