Suppr超能文献

超越一刀切的自杀预测:使用生态瞬时评估研究精神科样本中自杀风险因素的个体化关联。

Beyond one-size-fits-all suicide prediction: Studying idiographic associations of risk factors for suicide in a psychiatric sample using ecological momentary assessment.

机构信息

Department of Psychology, Health and Technology, University of Twente, Enschede, the Netherlands.

Department of Medical Psychology and Medical Sociology, University Leipzig, Leipzig, Germany.

出版信息

J Psychiatr Res. 2024 Oct;178:130-138. doi: 10.1016/j.jpsychires.2024.07.050. Epub 2024 Aug 5.

Abstract

The Interpersonal Psychological Theory of Suicide (IPTS) states that thwarted belongingness (TB), perceived burdensomeness (PB), and hopelessness are risk factors for suicidal ideation. This ecological momentary assessment (EMA) study aimed to (1) demonstrate that there is substantial between-person variability in the association between IPTS predictors and suicidal ideation, (2) identify clusters of patients for which the predictors differently predict suicidal ideation, and (3) examine whether identified clusters are characterized by specific patient characteristics. EMA data were collected ten times per day for six days in 74 psychiatric inpatients and was analyzed with dynamic structural equation modelling. Idiographic associations were obtained and clustered using k-means clustering. We found substantial between-person variability in associations between IPTS predictors and suicidal ideation. Four distinct clusters were identified and different risk factors were relevant for different clusters. In the largest cluster (n = 36), none of the IPTS predictors predicted suicidal ideation. Clusters in which associations between IPTS variables and suicidal ideation were stronger showed higher suicidal ideation, depression, and lower positive affect. These findings suggest that a one-size-fits-all model may not adequately reflect idiosyncratic processes leading to suicidal ideation. A promising avenue might be to use idiographic approaches to personalize prediction and interventions.

摘要

人际心理理论的自杀(IPTS)指出,归属受挫(TB)、被认为是负担(PB)和绝望是自杀意念的危险因素。这项生态瞬间评估(EMA)研究旨在:(1)证明 IPTS 预测因子与自杀意念之间的关联存在大量个体间差异;(2)确定预测因子不同地预测自杀意念的患者群体;(3)检查确定的群体是否具有特定的患者特征。EMA 数据在 74 名住院精神科患者中每天采集 10 次,持续 6 天,并使用动态结构方程模型进行分析。使用 K-均值聚类法获得并聚类了特质相关。我们发现,IPTS 预测因子与自杀意念之间的关联存在大量个体间差异。确定了四个不同的聚类,不同的风险因素对不同的聚类具有不同的相关性。在最大的聚类(n=36)中,IPTS 预测因子均与自杀意念无关。与 IPTS 变量和自杀意念之间的关联更强的聚类表现出更高的自杀意念、抑郁和更低的积极情绪。这些发现表明,一刀切的模型可能不能充分反映导致自杀意念的特质过程。一种有前途的方法可能是使用特质方法个性化预测和干预。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验