中学生非自杀性自我伤害:影响因素和风险预测模型
Xifang Song1, Qiheng Meng1, Zhipeng Xu2
1School of Education and Psychology, University of Jinan, Jinan, China.
Journal of affective disorders
|March 4, 2026
概括
非自杀性自我伤害 (NSSI) 影响了超过一半的受访青少年. 未来的自我连续性和认知重新评估是关键因素,新的机器学习模型 (NSSI-XGBoost) 有助于早期风险识别.
科学领域:
- 心理学 心理学 心理学
- 青少年健康 青少年健康
- 医疗保健中的机器学习
背景情况:
- 非自杀性自我伤害 (NSSI) 是青少年日益关注的问题,需要对其潜在机制和早期检测方法进行研究.
- 了解家长心理控制,未来的自我连续性和认知重新评估的相互作用,对于解决这个人口中的NSSI患病率至关重要.
研究的目的:
- 调查影响初中学生NSSI的因素.
- 开发和验证基于机器学习的NSSI风险早期识别工具.
主要方法:
- 对1160名初中生进行了问卷调查.
- 统计分析检查了未来自我连续性的调解作用和认知重新评估的调节作用.
- 一个极端梯度增强 (XGBoost) 模型 (NSSI-XGBoost) 已被开发用于NSSI风险预测.
主要成果:
- 发现NSSI的患病率为52.50%.
- 未来的自我连续性部分调解了特定的父母心理控制策略 (诱导父亲的内,母亲的爱退出) 和NSSI之间的关系.
- 认知再评估显著缓解了父母因素和NSSI之间的直接和间接途径,认知再评估,母亲的爱退出和父亲的内诱导是NSSI-XGBoost模型中的关键预测因素 (AUC=0.816).
结论:
- 未来的自我连续性和认知重新评估在父母心理控制和青少年NSSI之间的关联中发挥着重要作用.
- 开发的NSSI-XGBoost模型具有很高的准确性,并为初中生早期识别NSSI风险提供了一个实用的工具.
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