通过网络分析,检查实时自杀意图的同时和时间关联
Liia M M Kivelä1, Eiko I Fried1, Willem van der Does1,2
1Department of Clinical Psychology, Institute of Psychology, Leiden University, Leiden, The Netherlands.
Psychological medicine
|September 8, 2024
概括
了解自杀念头的动态是关键. 这项研究揭示了认知情感因素如何实时影响自杀想法,为干预提供了目标.
科学领域:
- 精神病学是一个精神病学.
- 网络科学 网络科学
- 心理健康研究 心理健康研究
背景情况:
- 自杀想法是复杂的,受到相互作用的风险因素的影响.
- 生态瞬间评估 (EMA) 提供了对实时和短期预测因素的洞察力.
- 统计网络方法可以探索自杀想法的时间动态.
研究的目的:
- 研究与自杀念头的时间动态相关的认知情感风险和保护因素.
- 分析自杀念头的组成部分及其预测因素之间的同时和时间关联.
主要方法:
- 纵向队列研究 (SAFE研究) 与82名参与者经历自杀想法.
- 在21天内使用4次/天的生态瞬间评估 (EMA).
- 采用多层向量自回归模型来分析关联.
主要成果:
- 被动自杀想法与悲伤,绝望,孤独,负担,负面影响与积极影响有关.
- 积极的自杀念头与被动的念头,悲伤和羞耻有关.
- 绝望和获得的能力预测了未来的被动思想,然后预测了积极思想.
结论:
- 自杀念头组件和其预测因素之间存在系统的实时关联.
- 不同的因素独特地影响了自杀念头的不同方面.
- 鉴定的因素是安全规划和风险检测的潜在目标.
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