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초록
This study aims to apply community detection algorithms within network analysis to cluster symptoms of PTSD, anxiety, and depression among North Korean refugees and examine their association with suicidality, providing a foundation for targeted interventions to support their mental health recovery. Data were obtained from the 2017 North Korean Defectors’ Human Rights Trauma Survey, conducted by the National Medical Center, and a total of 155 high-risk PTSD cases were analyzed. The key findings are as follows. First, network analysis revealed that 'uncontrollable worry', a symptom of anxiety (GAD-7), was the most central symptom within the network. Second, applying a community detection algorithm resulted in four distinct symptom clusters: (1) negative alterations in cognitions and mood, (2) intrusive anxiety, (3) depressive symptoms, and (4) dysphoric arousal. Third, among the symptom clusters, only intrusive anxiety—comprising PTSD intrusive symptoms and a subset of anxiety symptoms—was significantly associated with suicidality. Based on these findings, clinical intervention strategies were suggested to enhance the mental health recovery of North Korean refugees identified as a high-risk group.
키워드
- 제목
- 북한이탈주민의 PTSD, 불안, 우울의 증상 네트워크가 자살경향성에 미치는 영향 : PTSD 고위험군 대상 커뮤니티 탐지 알고리즘을 이용한 증상 클러스터링 적용
- 제목 (타언어)
- Impact of Symptom Networks of PTSD, Anxiety, and Depression on Suicidality among High-Risk North Korean Refugees : Applying Community Detection Algorithm for Symptom Clustering
- 저자
- 김준범; 손수민
- 발행일
- 2025-03
- 저널명
- 정신보건과 사회사업
- 권
- 53
- 호
- 1
- 페이지
- 31 ~ 58
- 언어
- KOR
- 출판사
- 한국정신건강사회복지학회
- 발행국가
- 대한민국
- 분량
- 28 페이지
- ISSN
- E 2733-9564
P 1229-3040