Department of Psychology, Health and Technology, University of Twente, Enschede, the Netherlands.
Department of Medical Psychology and Medical Sociology, University Leipzig, Leipzig, Germany.
J Psychiatr Res. 2024 Oct;178:130-138. doi: 10.1016/j.jpsychires.2024.07.050. Epub 2024 Aug 5.
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.
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。