Evidence map›Paper›PMID 40051764›Full record

ArticleFrontiers in psychiatry2025

Exploring the relationships among online social capital, Internet self-efficacy, mental health, and cyberbully-victim roles in adolescents: a structural equation model.

Qiqi Chen, Shaolingyun Guo, Ko Ling Chan

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Qiqi Chen *Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
Shaolingyun Guo *Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
Ko Ling ChanDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence and effects of cyberbullying are well-established, while there is sparse evidence addressing the experiences of those in vocational schools. Social capital and self-efficacy have attracted significant public and scholarly interest, but research on these factors in cyberspace remains limited in scope. This study aims to comprehensively investigate the pathways through which online social capital and Internet self-efficacy mediate the development of mental health consequences among adolescent cyberbullying victims. A total of 1,716 students in Grades 8-12 from public and vocational schools in China participated in the study. Structural equation modeling (SEM) was applied to specify the relationships between online social capital, Internet self-efficacy, cyberbullying, and mental health problems. Results showed that 12.12% of students reported themselves as cyber bully-victims. Internet self-efficacy could potentially mediate the effects of cyberbullying victimization and mental health problems in both school settings. Online social capital and Internet self-efficacy play mediating roles in the relationship between cyberbullying and mental health problems in public school samples. No significant effect of online social capital was found in the vocational school sample. The findings provide insights for proactive intervention in developing adequate online social capital and Internet self-efficacy training for cyberbullying prevention. Discussions on differentiated interventions for vocational school students are also presented to inspire future research and practice.

Indexed as

adolescentcyberbullyinginternet self-efficacyonline social capitalstructural equation model

Identifiers

PMID40051764
PMCPMC11882526

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.