Evidence map›Paper›PMID 40155726›Full record

ArticleScientific reports2025

Network analysis of peer attachment and internet addiction among chinese adolescents.

Xinyi Feng, Wenhe Wang, Jie Luo, Jie Zhang, Chang Peng, Qin Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

6 authors.

Xinyi FengResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Wenhe WangResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Jie LuoResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Jie ZhangResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Chang PengResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Qin LiuResearch Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, No.1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China. liuqin@cqmu.edu.cn.

Funding

National Natural Science Foundation of China 81973067Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission CSTB2023NSCQ-MSX0133Program for Youth Innovation in Future Medicine, Chongqing Medical University W0054
6 · The paper itself

Abstract

Previous studies have found a correlation between peer attachment and Internet addiction. The three dimensions (peer trust, peer communication, and peer alienation) of peer attachment reflect different needs in peer relationships. This study used network analysis to construct a network model of the three dimensions of peer attachment and Internet addiction. The primary aim was to identify which peer relationship needs are most significantly associated with Internet addiction in adolescents. A total of 782 adolescents (413 girls and 369 boys, Mean age = 13.52, SD age = 1.17) from school participated in this study. Basic demographic information was obtained through a questionnaire. Inventory of Parent and Peer Attachment and Young Internet Addiction Test were used to measure peer attachment and Internet addiction in adolescents. Internet addiction was negatively correlated with the three dimensions of peer attachment: peer trust (r = -0.22), peer communication (r = -0.17), and peer alienation (r = -0.47). Peer trust was the central factor in the network model. Prominent symptoms in the network model included IA2 ("How often do you neglect household chores to spend more time online?") and IA12 ("How often do you fear that life without the Internet would be boring, empty, and joyless?"). Peer communication acted as a bridge between peer attachment and Internet addiction in the network model. Less trust in peers is associated with a higher risk of becoming addicted to the Internet. Fostering peer trust may encourage adolescents to engage in real-life social activities, thus reducing their reliance on the Internet for social fulfillment.

Indexed as

Adolescent BehaviorBehavior, AddictiveInternet Addiction DisorderPeer GroupAdolescentChinaEast Asian PeopleFemaleHumansInternetInterpersonal RelationsMaleObject AttachmentSurveys and QuestionnairesTrustAdolescentsInternet addictionNetwork analysisPeer attachment

Identifiers

PMID40155726
PMCPMC11953384

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.