We aimed to demonstrate the utility of an item-level network analysis approach to suicide risk by testing the interpersonal psychological theory of suicide (IPTS) among 402 psychiatric inpatients. We hypothesized that specific thwarted belongingness (TB) or perceived burdensomeness (PB; Interpersonal Needs Questionnaire items) facets would positively relate to passive or active suicide ideation and that these facets would positively relate to each other and form distinct clusters. We also tested TB and PB facets central to the networks as predictors of suicide ideation compared with the full TB and PB subscales. Face-valid items congruent with latent constructs proposed by the IPTS (i.e., feelings of burden on society, feeling that one does not belong) were the only two facets uniquely predictive of passive and active suicide ideation. Facets of TB and PB did not form distinct clusters. Item-level network analysis may have important conceptual, assessment, predictive, and clinical implications for understanding suicide risk.

我们旨在通过测试 402 名精神病住院患者的人际自杀心理理论 (IPTS) 来证明项目级网络分析方法对自杀风险的效用。我们假设特定受挫的归属感（TB）或感知负担（PB；人际需求问卷项目）方面与被动或主动自杀意念正相关，并且这些方面将彼此正相关并形成不同的集群。与完整的 TB 和 PB 分量表相比，我们还测试了网络中心的 TB 和 PB 方面作为自杀意念的预测因子。与 IPTS 提出的潜在结构（即对社会的负担感、不属于自己的感觉）一致的面部有效项目是唯一能唯一预测被动和主动自杀意念的两个方面。TB 和 PB 的方面没有形成不同的集群。项目级网络分析可能对理解自杀风险具有重要的概念、评估、预测和临床意义。