Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry
Sec. Psychopathology
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1440808
This article is part of the Research Topic Suicidality and self-injury behaviours across the Lifespan in mental and substance use disorders View all 9 articles

Prospectively predicting 6-month risk for non-suicidal self-injury among adolescents after psychiatric hospitalization based on a predictive model

Provisionally accepted
Wenjuan Zhu Wenjuan Zhu 1Liping Cui Liping Cui 1*Huijie Zhang Huijie Zhang 2*Fang He Fang He 1*Min Li Min Li 1*Xufang Du Xufang Du 1*Xiaofen Fan Xiaofen Fan 1*Wanling Li Wanling Li 3*
  • 1 Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
  • 2 Nursing School, Shanxi Medical University, Taiyuan, China
  • 3 Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences，Tongji Shanxi Hospital, Taiyuan, China

The final, formatted version of the article will be published soon.

    Background: It is challenging to predict the occurrence of non-suicidal self-injury (NSSI) among adolescents over short periods. Moreover, the predictive value of indices for NSSI remains elusive. Thus, this study aimed to identify predictors of NSSI within 6 months among adolescents after psychiatric hospitalization by establishing a risk assessment model.Methods: A total of 632 high-risk participants were included in this study. The distribution characteristics of adolescent NSSI were initially assessed through a cross-sectional survey, following which risk factors were identified using logistic regression analysis. The risk score method was then used to construct a 6-month risk assessment model for NSSI. Lastly, the predictive effect of the model was evaluated by indicators such as the area under the ROC curve and the positive predictive value.Results: After 6 months, 412 cases of NSSI were identified. According to the logistic regression model, the frequency of relapses, medication status, and NSSI history were identified as influencing factors. Higher scores on the Impulsive Behavior Scale and Pittsburgh Sleep Quality Index were associated with a higher risk of NSSI.Conversely, higher scores on the Pain and Belief Perception Scale were correlated with a lower risk of NSSI. Moreover, the AUC value of the area under the ROC curve for the predictive model was 0.9989, with a 95% confidence interval of (0.9979, 0.9999), highlighting its high predictive ability and accuracy. The predictive model was validated using 78 patients, yielding an area under the ROC curve of 0.9703 and a 95% confidence interval of (0.9167, 0.9999), demonstrating outstanding predictability.Conclusion: These results collectively showed that the predictive model could accurately predict adolescent NSSI. Thus, the model's primary variables may be applied to predict the risk of NSSI in the clinical setting.

    Keywords: Logistic regression, predictive model, Non-suicidal self-injury, adolescents, Risk Assessment Model (RAM)

    Received: 31 May 2024; Accepted: 11 Oct 2024.

    Copyright: © 2024 Zhu, Cui, Zhang, He, Li, Du, Fan and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Liping Cui, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
    Huijie Zhang, Nursing School, Shanxi Medical University, Taiyuan, China
    Fang He, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
    Min Li, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
    Xufang Du, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
    Xiaofen Fan, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, China
    Wanling Li, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences，Tongji Shanxi Hospital, Taiyuan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.