Evidence map›Paper›PMID 37928568›Full record

ArticleFrontiers in psychology2023

Peer victimization and children's internet addiction in China: a moderated mediation model.

Pingyan Zhou, Jinping Cai, Jiaxin Cui, Jian Liu, Wenguang He, Cai Zhang, Fumei Chen, Zhe Wang

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Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Pingyan ZhouSchool of Psychology, Qufu Normal University, Qufu, Shandong Province, China.
Jinping CaiSchool of Psychology, Shenzhen University, Shenzhen, Guangdong Province, China.
Jiaxin CuiCollege of Education, HeBei Normal University, Shijiazhuang, HeBei Province, China.
Jian LiuCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Wenguang HeSchool of Psychology, Qufu Normal University, Qufu, Shandong Province, China.
Cai ZhangCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Fumei ChenCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Zhe WangCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peer victimization used to be considered as a crucial risk factor for children addicted to the internet. Whereas some victimized ones are function better than would be expected. Variability across individuals indicates that it is necessary to understand how children cope with being bullied and why they do not exhibit maladaptive outcomes. Objective: We explored the underlying mechanisms by testing whether subjective well-being was a mediator between peer victimization and Internet addiction and whether the mediation effects conditioned on the levels of parent-child relationship (PCR). Methods: Data were collected from 65, 868 elementary school students in China (Mage = 9.56 years, SD = 0.62, 54.0% male) using four questionnaires. Results: We found that: (1) subjective well-being can partially mediate the relationship of the two variables; and (2) PCR can moderate direct path and second half of the intermediary process. These moderating effects were stronger for children with higher PCR vs. lower PCR, as a strong PCR can help children to deal with intense emotions and to access effective resources to obtain support. Conclusion: This study deepens our understanding of how peer victimization leads to internet addiction, identifies a supportive PCR as a crucial factor that strengthens the resilience of child victims, and highlights the value of focusing on improving the relationship between parents and children in intervening internet addiction related to peer victimization.

Indexed as

internet addictionmoderated mediation modelparent–child relationshippeer victimizationsubjective well-being

Identifiers

PMID37928568
PMCPMC10623336

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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.