Evidence map›Paper›PMID 41107950›Full record

ArticleAnnals of general psychiatry2025

A novel approach to exploring youth non-suicidal self-injury heterogeneity: individual differential psychopathology network analysis.

Zhongliang Jiang, Zhongyi Liu, Qinghao Yang, Wenyan Zhang, Xianbin Wang, Kai Yang, JinHyun Jun, Yonghua Cui, Tianyuan Lei

Abstract read
In one paragraph

Article in Annals of general psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. [Network analysis of insomnia, anxiety, depression, and non-suicidal self-injury in adolescents].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhongliang JiangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Zhongyi LiuDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Qinghao YangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Wenyan ZhangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Xianbin WangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Kai YangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
JinHyun JunDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yonghua CuiDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. cuiyonghua@bch.com.cn.
Tianyuan LeiDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. tianyuanlei@bch.com.cn.

Funding

Beijing High-level Public Health Technology Talent Construction Project 2022-2-007National Natural Science Foundation of China 82171538
6 · The paper itself

Abstract

backgroundNon-suicidal self-injury (NSSI) is a common behavioral problem among children and adolescents. Previous studies of NSSI have been mostly group-based and lacked specific characterization of individuals with NSSI.

methodsUsing convenience sampling, we surveyed all students from three junior high schools in a county in China, totaling 2,376 participants (mean age 13.66, SD 0.98). Assessments included NSSI, anxiety, depression, personality traits, and family environment. Based on the network template perturbation approach, we employed three steps-constructing the reference network, constructing the perturbed network, and computing the individual differential psychopathology network (IDPN). The IDPN was then constructed from questionnaire scores to capture the degree to which abnormal individuals deviate from the normative level. K-means clustering was then applied to explore the internal heterogeneity of NSSI.

resultsAmong 2,376 students, 881 (37.1%) exhibited NSSI. Following IDPN construction, we selected 8 characteristics for clustering analysis based on significant changes in at least 2% of the samples. The elbow method indicated 2 clusters. Fisher discriminant analysis showed a classification accuracy of 95.8%, reflecting a good clustering effect. Severity of NSSI in Group 1 was lower than in Group 2, with scores for 7 out of 8 characteristics also lower in Group 1, except for "Control-Organization." NSSI was associated with personality traits, depression, and family environment, with stronger connections between individual features linked to higher NSSI severity.

conclusionWe introduced the concept of IDPN in psychometrics, which can reveal relationships among individual characteristics and identify distinct patient subgroups. Further research is needed to confirm its reproducibility and generalizability.

Indexed as

IDPNIndividual differential psychopathology networkNon-suicidal self-injuryStudent

Identifiers

PMID41107950
PMCPMC12535082

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