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痛苦作为精神分裂症谱系障碍中自杀倾向的桥梁:基于网络的干预模拟研究

Jinyuan Liu, Fay Womer, Julia Sheffield

Research square

|February 27, 2026

概括

精神分裂症谱系障碍 (SSD) 具有很高的自杀风险. 情感困扰症状,如焦虑和抑郁,是自杀倾向的关键联系,这表明有针对性的干预措施可能会降低风险.

科学领域:

精神病学是一个精神病学.
计算精神病学是一种计算精神病学.
网络科学网络科学

背景情况:

精神分裂症谱系障碍 (SSD) 有明显增加的自杀风险.
在SSD中将精神病理与自杀倾向联系在一起的确切机制尚未完全理解.
网络模型提供了一个研究症状相互关系和确定干预目标的框架.

研究的目的:

开发一个基于网络的模拟框架,使用对精神分裂症的正负综合征量表 (PANSS).
为了确定与SSD中自杀倾向最相关的症状领域.
评估调节特定症状对自杀意念的影响.

主要方法:

开发了一个基于网络的模拟框架,利用PANSS数据.
分析症状网络以确定关键症状领域和桥梁症状.
对症状域进行基于模拟的调制,以评估对自杀倾向的影响.

主要成果:

再现了五个领域的PANSS结构:正面,负面,认知障碍,冲动-敌意和痛苦.
痛苦症状 (焦虑,抑郁,内,紧张) 最常与自杀倾向有关.
在模拟中调节 Distress 域减少了网络连接,并预测了自杀念头.

结论:

情感困扰是与SSD中自杀风险相关的关键症状途径.
基于网络的数字模拟可以帮助优先考虑干预的症状目标.
需要进行进一步的研究,包括RCT,以确认是否针对痛苦减少了自杀倾向.

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