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中国青少年非自杀性自伤与抑郁症状之间的关系:一项交叉滞后面板网络分析
Authors Xu S, Bai R, Xue D, Liu X
Received 1 April 2025
Accepted for publication 3 August 2025
Published 28 August 2025 Volume 2025:18 Pages 1809—1823
DOI https://doi.org/10.2147/PRBM.S530888
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Mei-Chun Cheung
Shiyu Xu, Rong Bai, Dini Xue, Xia Liu
Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, People’s Republic of China
Correspondence: Xia Liu, Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, 100875, People’s Republic of China, Email liuxia@bnu.edu.cn
Introduction: Nonsuicidal self-injury (NSSI) and depression often co-occur among adolescents and lead to severe mental health problems. However, it is not clear how NSSI and depression causally relate to each other at a symptom level, with respect to gender differences. Therefore, this study aimed to explore the co-occurring patterns of NSSI and depression symptoms and examined gender differences.
Methods: The present study conducted cross-sectional and cross-lagged network analyses between NSSI and depression symptoms among adolescent girls and boys. A total of 1122 Chinese students (50.4% girls; mean age = 13.51 years, SD = 1.10) completed a survey at two waves.
Results: The results revealed that (1) the depression symptoms “sad” and “depressed” were the highest and most stable Expected Influence centrality nodes. The depression symptom “scared” acted as a bridging node across genders, both in cross-sectional and cross-lagged panel networks. (2) For girls, depression symptoms at W1 predicted NSSI at W2. The depression symptoms “tired” and “lack of hope” at W1 were the strongest predictors of NSSI symptoms at W2. (3) For boys, NSSI and depression symptoms displayed a bidirectional relationship through the “scared” and “lonely”.
Discussion: These findings provide valuable insights into the distinct gendered temporal relationships between NSSI and depression at the symptom level and underscore the practical value of targeted, gender-informed treatment and screening for adolescents.
Keywords: nonsuicidal self-injury, depression symptoms, network analysis, cross-lagged panel network analysis