Evidence map›Paper›PMID 41723509›Full record

ArticleChild and adolescent psychiatry and mental health2026

Reducing social isolation in schools: a social network analysis of the HOPE bullying prevention program.

Sojung Kim, Sungbum Woo, Yul-Mai Song, Kyungun Jhung, Jungwon Choi, Young Hee Yang, Young Sook Kwack, Yeni Kim

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sojung Kim *Department of Psychology, Yeungnam University, Gyeongsan, Republic of Korea.
Sungbum Woo *Department of Counselling Psychology, Hanyang Cyber University, Seoul, Republic of Korea.
Yul-Mai SongDepartment of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Republic of Korea.
Kyungun JhungDepartment of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Republic of Korea.
Jungwon ChoiDepartment of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Republic of Korea.
Young Hee YangDepartment of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Republic of Korea.
Young Sook Kwack *Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea. yskcpy@cheju.ac.kr.
Yeni Kim *Department of Neuropsychiatry, Dongguk University, School of Medicine, Seoul, Republic of Korea. yenikim@dumc.or.kr.

Funding

National Center for Mental Health AMHIR22A01
6 · The paper itself

Abstract

backgroundSchool bullying is a public health concern, disproportionately affecting socially isolated students. Peer network position strongly influences vulnerability to victimization. This study examined the effectiveness of a Korean school-based bullying prevention program, HOPE, using social network analysis (SNA).

methodsFrom an initial intervention cohort of 275 students, a total of 204 students (112 boys, 92 girls) who completed both pre- and post-intervention measures across nine classrooms were included in the final analysis (attrition rate: 25.8%). In-degree centrality (IDC), defined as the number of close-friend nominations received from peers, was measured before and after the intervention as the primary outcome. SNA was conducted at baseline and post-intervention to capture changes in peer network structures. Secondary analysis examined psychosocial characteristics of students with low baseline IDC to identify factors associated with isolation and victimization.

resultsFollowing the HOPE program, IDC scores for previously isolated students were observed to increase. Post-intervention networks showed greater density, reflecting improved peer acceptance and social integration. Students with low baseline IDC were more likely to report elevated anxiety and lower self-esteem, underscoring their vulnerability to exclusion. Post-intervention network displayed greater density and inclusiveness with fewer students at risk of marginalization.

conclusionThe HOPE program was associated with enhanced social integration and promoted supportive classroom networks. By reshaping peer dynamics, the intervention may be linked to reduced isolation and strengthened protective relationships for vulnerable children. These findings underscore the utility of SNA in evaluating bullying prevention efforts and suggest that network-based approaches can provide valuable insights into how programs promote resilience and reduce bullying risk.

Indexed as

BullyNetwork analysisPrevention programSocial integrationVictimization

Identifiers

PMID41723509
PMCPMC13032307

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LicenceCC BY-NC-ND
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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.