基于人工智能对年轻抑郁者进行非自杀自伤的自杀风险因素的评估

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Xuanyan Zhu¹, Yun Chen¹, Zhongyi Jiang²

¹Department of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.

BMC psychology

|July 8, 2025

概括

非自杀性自我伤害 (NSSI) 与严重抑郁症 (MDD) 中自杀风险增加有关. NSSI部分调解了这种风险,突出了其在理解抑郁症患者自杀途径方面的重要性.

科学领域:

精神病学是一个精神病学.
临床心理学临床心理学
流行病学流行病学

背景情况:

在重大抑郁症 (MDD) 中,非自杀性自我伤害 (NSSI) 和自杀风险之间的关系受到争议.
了解这种联系对于青少年和年轻人的自杀预防策略至关重要.

研究的目的:

调查NSSI在被诊断为MDD的个体中自杀过程中的作用.
在这个人群中量化NSSI和自杀风险之间的关联.

主要方法:

使用验证的尺度进行了横截面调查:汉密尔顿抑郁量表-24,贝克自杀风险量表和故意自伤量表.
梯度升降回归分析被用来检查NSSI,抑郁症严重程度和自杀风险之间的相关性.
这项研究包括179名15-24岁的MDD患者.

主要成果:

非自杀性自我伤害 (NSSI) 是普遍存在的,特别是在高中生 (63.3%),不论性别.
在有吸烟和饮酒史的MDD患者中,观察到NSSI的发病率更高 (分别p < 0.0002和p < 0.001).
统计分析表明,NSSI部分调解了抑郁症和自杀风险之间的关系.

结论:

在患有MDD的个体中,NSSI和增加自杀风险得分之间存在显著的关联.
NSSI充当部分调解者,影响从抑郁症到自杀想法和行为的途径.
这些发现强调了评估和解决NSSI在MDD临床管理中的重要性,以减轻自杀风险.

关键词:

机器学习是机器学习.大型抑郁症主要是抑郁症.调解因素是调解因素.这是NSSI.自杀的风险自杀的风险

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