Zhou Jiaqi, Hu Shiyi, Wu Haoze, Wang Suhong, Gong Jingbo
Shanghai Key Laboratory of Mental Health and Psychological Crisis, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, People's Republic of China.
Department of Clinical Psychology, The Third Affiliated Hospital, Soochow University, Changzhou, People's Republic of China.
Psychol Res Behav Manag. 2025 Sep 10;18:1915-1930. doi: 10.2147/PRBM.S545595. eCollection 2025.
Non-suicidal self-injury (NSSI) is a prevalent issue among adolescents, with potential long-term mental health implications. To investigate NSSI thoughts as a distinct developmental stage and inform early intervention strategies, this study employed a longitudinal design to examine progression differences in Chinese adolescents across three NSSI status: NO NSSI, NSSI thoughts without behaviors, and NSSI behaviors.
Using a machine learning approach (Random Forest models), a two-wave longitudinal study assessed 2,154 adolescents (aged 11-18) from Chinese middle and high schools. Analyses focused on NSSI status, risk factors, and developmental trajectories. ANOVAs and paired-t tests were conducted to examine risk factors and NSSI functions of group with different NSSI status.
NSSI thoughts emerged as both a distinct category and a potential precursor to behaviors. Despite limitations in accurately classifying the NSSI thoughts group, the Random Forest models demonstrated capability in differentiating NSSI status. Age-specific patterns were identified: middle school students showed a higher propensity to progress to NSSI behaviors than high schoolers, with emotional/social factors more prominent for middle schoolers and broader risk factors for high schoolers.
Findings support conceptualizing NSSI thoughts as a critical stage in NSSI development, highlighting distinct risk profiles across age groups. Future research should focus on improving the identification and assessment of NSSI thoughts and developing early intervention strategies based on developmental stages and associated risk factors.
非自杀性自伤(NSSI)是青少年中普遍存在的问题,可能对心理健康产生长期影响。为了将NSSI想法作为一个独特的发展阶段进行研究,并为早期干预策略提供信息,本研究采用纵向设计,以考察中国青少年在三种NSSI状态下的进展差异:无NSSI、有NSSI想法但无行为、有NSSI行为。
采用机器学习方法(随机森林模型),对来自中国初中和高中的2154名青少年(11 - 18岁)进行两波纵向研究。分析聚焦于NSSI状态、风险因素和发展轨迹。进行方差分析和配对t检验,以考察不同NSSI状态组的风险因素和NSSI功能。
NSSI想法既是一个独特的类别,也是行为的潜在先兆。尽管在准确分类NSSI想法组方面存在局限性,但随机森林模型显示出区分NSSI状态的能力。确定了特定年龄模式:初中生比高中生更倾向于发展为NSSI行为,初中生的情绪/社会因素更突出,高中生的风险因素更广泛。
研究结果支持将NSSI想法概念化为NSSI发展中的关键阶段,突出了不同年龄组的不同风险特征。未来的研究应侧重于改进NSSI想法的识别和评估,并根据发展阶段和相关风险因素制定早期干预策略。