Evidence map›Paper›PMID 42244295›Full record

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

[Longitudinal association between internet addiction and depressive symptoms in adolescents: The chain mediating roles of psychological resilience and psychotic-like experiences].

Heqiong Hu, Yong Yang, Yuanshun Zhu, Dongfang Wang, Ming Lu, Xuan Ouyang, Yan Xu

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

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

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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

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Heqiong HuCollege of Education, Hunan Agricultural University, Changsha 410128. 1532721844@qq.com.
Yong YangDepartment of Clinical Psychology, Guangzhou Shengquan Hospital, Guangzhou 510800.
Yuanshun ZhuSchool of Psychology/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631.
Dongfang WangSchool of Psychology/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631.
Ming LuYali Zhongnan Affiliated Middle School, Changsha 410017.
Xuan OuyangNational Clinical Research Center for Mental Disorders; National Center for Mental Disorders; Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011.
Yan XuDepartment of General Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China. 380303820@qq.com.

Funding

the "14th Five-Year Plan" Project of Hunan Provincial Education Science Research XJK24BJC007
6 · The paper itself

Abstract

objectivesDepressive symptoms cause serious harm to the physical and mental health of adolescents and significantly increase their risk of suicide. This study aims to investigate the chain mediating roles of psychological resilience and psychotic-like experiences in the longitudinal relationship between internet addiction and depressive symptoms among adolescents, thereby providing a scientific basis for the prevention of depressive symptoms in adolescents..

methodsA 6-month, 2-wave longitudinal survey (T1 and T2) was conducted among 27 260 middle and high school students using the Revised Chinese Internet Addiction Scale (CIAS-R), the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8), and the 9-item Patient Health Questionnaire (PHQ-9).

resultsT1 internet addiction was positively associated with T2 depressive symptoms among adolescents (

conclusionsInternet addiction may influence depressive symptoms in adolescents through the chain mediating pathway involving psychological resilience and psychotic-like experiences.

Indexed as

Behavior, AddictiveDepressionInternet Addiction DisorderPsychotic DisordersResilience, PsychologicalAdolescentChinaFemaleHumansInternetLongitudinal StudiesMaleStudentsSurveys and Questionnaireschain mediating effectdepressive symptomsinternet addictionpsychological resiliencepsychotic-like experiences

Identifiers

PMID42244295
PMCPMC13229953

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LicenceCC BY-NC-ND
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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.