Zhu Yiqin, Rodebaugh Thomas, Narine Kevin, Brown Lily A
Department of Psychiatry, University of Pennsylvania.
Department of Psychological and Brain Science, Washington University at St. Louis.
J Pers Oriented Res. 2022 Dec 22;8(2):71-86. doi: 10.17505/jpor.2022.24856. eCollection 2022.
Given that suicide ideation (SI) fluctuates drastically over short periods of time and is heterogenous across individuals, idiographic suicide research is warranted. In this pilot study, we used intensive ecological momentary assessment (EMA) to examine whether anxiety, depression, and PTSD symptoms on a given day predicted next-day SI on a person-to-person basis.
PLWH ( = 10) with past-month SI completed daily randomly assessed ratings of suicidal urges using the Suicide-Visual Analogue Scale (S-VAS) and daily assessed ratings of anxiety, depression, and PTSD symptoms for 28 days. We used N = 1 Dynamic Structural Equation Modeling to test whether depression, anxiety or PTSD symptoms in the prior day predicted next-day S-VAS for each individual.
Across all participants, S-VAS on a given day was not predicted by prior-day anxiety, PTSD symptoms or S-VAS. In one participant, higher depression symptoms predicted lower next-day S-VAS.
Daily-level data may be insufficient to predict near-term increases in suicide risk based on anxiety, depression, or PTSD symptoms in PLWH. These findings suggest the importance of finer-grained assessments (e.g., assessing suicide risk and its correlates multiple times per day) to better understand changes in suicide risk over time among PLWH.
鉴于自杀意念（SI）在短时间内波动剧烈且个体间存在异质性，开展个体特异性自杀研究很有必要。在这项初步研究中，我们使用密集生态瞬时评估（EMA）来检验某一天的焦虑、抑郁和创伤后应激障碍（PTSD）症状是否能在个体层面上预测次日的自杀意念。
过去一个月有自杀意念的艾滋病毒感染者（PLWH，n = 10）在28天内每天随机使用自杀视觉模拟量表（S-VAS）评估自杀冲动，并每天评估焦虑、抑郁和创伤后应激障碍症状。我们使用N = 1动态结构方程模型来检验前一天的抑郁、焦虑或创伤后应激障碍症状是否能预测每个个体次日的S-VAS。
在所有参与者中，某一天的S-VAS无法通过前一天的焦虑、创伤后应激障碍症状或S-VAS来预测。在一名参与者中，较高的抑郁症状预测次日S-VAS较低。
基于艾滋病毒感染者的焦虑、抑郁或创伤后应激障碍症状，日常水平的数据可能不足以预测近期自杀风险的增加。这些发现表明更精细评估（例如，每天多次评估自杀风险及其相关因素）对于更好地理解艾滋病毒感染者自杀风险随时间变化的重要性。
