We lack knowledge about the short-term predictors of suicide attempts (SAs) among treatment-seeking individuals. The current study evaluated whether (a) interpersonal difficulties, hopelessness, and affective states are associated with an increased risk of SAs on the same and the next day; (b) these daily states are interconnected differently over time among inpatients who attempt suicide compared to those who do not. In total, 110 psychiatric inpatients who attempted suicide during their stay at a psychiatric hospital self-reported their suicidal ideation, negative affect, positive affect, wish to live, interpersonal needs, and hopelessness each day (3,018 daily reports). Multilevel structural equation modeling was used to examine same-day and next-day predictors of SAs. Multilevel temporal network models assessed interconnectedness between daily predictors and were compared to network models from a matched sample of 110 psychiatric inpatients who did not attempt suicide. In multivariate models, increases in perceived burdensomeness were significantly associated with same-day SAs, whereas increased hopelessness was associated with next-day SAs. Network models for patients who attempted suicide indicated that hopelessness and suicidal ideation were central to change, leading to next-day deteriorations in mental health. In subsequent models, feeling calm and relaxed, and feeling fresh and rested were centrally connected to other variables. The centrality of these metrics tended to be higher than in the network models for patients who did not attempt suicide, suggesting differences in the interplay between risk and protective factors. This study suggests routinely monitoring interpersonal factors and hopelessness may help identify increased short-term risk of SAs among psychiatric inpatients. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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使用常规收集的理论驱动数据每日预测住院患者的自杀企图。


我们缺乏关于寻求治疗的个体自杀未遂（SA）的短期预测因素的知识。当前的研究评估了 (a) 人际交往困难、绝望和情感状态是否与当天和第二天发生 SA 的风险增加有关； (b) 与那些没有自杀的住院患者相比，这些日常状态随着时间的推移，在试图自杀的住院患者中以不同的方式相互关联。总共有 110 名在精神病医院住院期间试图自杀的精神病住院患者每天自我报告他们的自杀意念、消极情绪、积极情绪、生存愿望、人际需求和绝望（3,018 份每日报告）。使用多级结构方程模型来检查 SA 的当日和次日预测因子。多级时间网络模型评估了每日预测变量之间的相互关联性，并与来自 110 名未尝试自杀的精神病住院患者的匹配样本的网络模型进行了比较。在多变量模型中，感知负担的增加与当天的 SA 显着相关，而绝望感的增加则与第二天的 SA 相关。试图自杀的患者的网络模型表明，绝望和自杀意念是改变的核心，导致第二天心理健康状况恶化。在随后的模型中，感觉平静和放松、感觉清新和休息与其他变量密切相关。这些指标的中心性往往高于未尝试自杀患者的网络模型，这表明风险因素和保护因素之间的相互作用存在差异。 这项研究表明，定期监测人际因素和绝望情绪可能有助于识别精神病住院患者短期 SA 风险的增加。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。