Evidence map›Paper›PMID 42032967›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026

[Relationship between adolescent internet addiction and depressive symptoms: A longitudinal study based on a cross-lagged panel network models].

Wen Shang, Mingyue Yang, Ruiting Zhang

Abstract readEnglish Abstract
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wen ShangCentral South University, Changsha 410083. 220239@csu.edu.cn.
Mingyue YangDepartment of Psychology, School of Education Science, Hunan Normal University, Changsha 410081.
Ruiting ZhangDepartment of Psychology, School of Education Science, Hunan Normal University, Changsha 410081. zhangruiting@hunnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInternet addiction and depressive symptoms are common comorbid mental health problems among adolescents. This study aims to employ a cross-lagged panel network (CLPN) model to examine the longitudinal dynamic interactions between adolescent internet addiction and depressive symptoms at the symptom level, and to explore gender-specific patterns.

methodsA total of 1 138 adolescents from a middle school in a northern city were followed for 5 months with two waves of assessment. Internet addiction and depressive symptoms were measured using the Internet Addiction Test (IAT) and the Patient Health Questionnaire-9 (PHQ-9), respectively. CLPN was conducted using R software version 4.4.0 to estimate out-expected influence (out-EI) and in-expected influence (in-EI).

resultsThe cross-lagged effects of depressive symptoms on internet addiction were stronger than the reverse effects. In the overall sample, feelings of worthlessness showed the highest out-EI. Gender-specific CLPN results indicated that, in males, suicidal ideation had significant negative cross-lagged effects on salience, neglect of work, and anticipation in internet addiction. In females, excessive internet use and lack of control showed significant positive cross-lagged effects.

conclusionsDepressive symptoms are key drivers of internet addiction in adolescents, with notable gender differences in symptom pathways. Future research and interventions should consider gender sensitivity and target specific symptom pathways to develop precise prevention and intervention strategies.

Indexed as

Behavior, AddictiveDepressionInternetInternet Addiction DisorderAdolescentAdolescent BehaviorChinaFemaleHumansLongitudinal StudiesMaleSurveys and Questionnairesadolescentscross-lagged panel network analysisdepressive symptomsinternet addictionlongitudinal study

Identifiers

PMID42032967
PMCPMC13071589

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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.