Evidence map›Paper›PMID 40895055›Full record

ArticlePeerJ2025

The effect of cumulative ecological risk on migrant children's Internet game addiction: a moderated mediation model.

Zhengzheng Lin, Ying Zha

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Zhengzheng LinSchool of Psychology, Zhejiang Normal University, Jinhua, Zhejiang, China.
Ying ZhaTin Ka Ping Moral Education Research Center, Zhejiang Normal University, Jinhua, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet games are becoming a popular form of entertainment. However, overindulgence in online games may lead to online game addiction, which may have a negative impact on the health of adolescents. As a special group of adolescents, migrant children's Internet game addiction has also attracted much attention. This study aimed to explore the effects of cumulative ecological risk on migrant children's Internet game addiction, and to investigate the mediating role of self-educational expectations and the moderating role of gender. Methods: A questionnaire survey method was employed in this study. Using convenience sampling, a total of 314 migrant children completed the cumulative ecological risks scale, self-education expectations scale, and Internet game addiction scale. Results: The findings showed that cumulative ecological risk had a significant effect on migrant children's Internet game addiction, and self-education expectations partially mediating the relationship between cumulative ecological risk and Internet game addiction. The latter part of the mediating effect in the pathway "cumulative ecological risk → self-educational expectations → Internet game addiction" is moderated by gender. Specifically, the impact of self-educational expectations on game addiction is stronger for male students compared to female students. Conclusion: Comprehensive measures should be taken to address the problem of online game addiction among migrant children, including reducing the ecological risk faced by migrant children, raising self-education expectations and paying attention to gender differences.

Indexed as

Behavior, AddictiveInternet Addiction DisorderTransients and MigrantsVideo GamesAdolescentChildFemaleHumansInternetMaleRisk FactorsSex FactorsSurveys and QuestionnairesCumulative ecological riskGenderInternet game addictionMigrant childrenSelf-educational expectations

Identifiers

PMID40895055
PMCPMC12399076

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.