Evidence map›Paper›PMID 41888544›Full record

ArticleScientific reports2026

Resilience and coping styles mediate the associations of autistic and ADHD traits with internet addiction in general adolescents.

Longping Zeng, Zhaozheng Ji, Xiaoyun Gong, Hui Wang, Yuanyuan Jin, Jiamin Guo, Jingjing Xue, Xing Su, Qinyi Liu, Gangqiang Han and 7 more

Abstract read
In one paragraph

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

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Longping Zeng *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Zhaozheng Ji *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Xiaoyun Gong *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Hui WangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Yuanyuan JinPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Jiamin GuoPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Jingjing XuePeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Xing SuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Qinyi LiuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Gangqiang HanPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Shuhan ChenPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Peng LinPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Ziyin HuangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Aodong HePeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Linli ZhaoPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China.
Xue LiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China. lixue@bjmu.edu.cn.
Jing LiuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders, Beijing, 100191, China. ljyuch@bjmu.edu.cn.

Funding

Beijing Research Ward Excellence Program BRWEP2024W074110102National Key Research and Development Program of China 2017YFC1309900National Natural Science Foundation of China 8157050920
6 · The paper itself

Abstract

This study aims to investigate the associations of autistic traits and attention-deficit/hyperactivity disorder (ADHD) traits with internet addiction (IA) in general adolescents, and to examine the mediating roles of resilience and coping styles. A cross-sectional design was employed, involving 3003 middle school students. Data collection utilized the Autism Spectrum Screening Questionnaire (ASSQ), Swanson, Nolan, and Pelham-IV Rating Scale (SNAP-IV), the Resilience Scale for Chinese Adolescents (RSCA), the Simplified Coping Style Questionnaire (SCSQ), and the Revised Chinese Internet Addiction Scale (CIAS-R). Participants were divided into internet addiction (IA) and non-addiction groups based on the CIAS-R cutoff score of 53, with group differences analyzed via independent samples t-tests/Mann-Whitney U tests. Spearman correlation analysis was conducted to explore variable associations. Structural equation modeling (SEM) was constructed to test mediating effects, with the Bootstrap method (5000 resamplings) used for pathway validation. The IA group exhibited significantly higher scores on the ASSQ, SNAP-IV, and negative coping, along with lower scores on the RSCA and positive coping (p < 0.05). Significant correlations were observed among all variables (p < 0.01). Internal resilience, negative coping, and the “resilience → negative coping” serial pathway mediated the associations between ASSQ, SNAP-IV, and CIAS-R. External resilience uniquely mediated the relationship between SNAP-IV and CIAS-R. Resilience and coping styles mediate autistic traits, ADHD traits, and IA. Moreover, the associative pathways of these two traits differ. These findings provide preliminary insights into the psychological mechanisms underlying the associations between autistic traits, ADHD traits and IA in adolescents.

Indexed as

Adaptation, PsychologicalAttention Deficit Disorder with HyperactivityAutistic DisorderBehavior, AddictiveInternet Addiction DisorderResilience, PsychologicalAdolescentCoping SkillsCross-Sectional StudiesFemaleHumansInternetMaleSurveys and QuestionnairesAdolescentInternet addictionMediation analysisNeurodevelopmental traitsResilience

Identifiers

PMID41888544
PMCPMC13172489

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.