Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition.

Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition.
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使用状态认知的动态评估来预测日常生活中的自残想法。

DOI:
10.1016/j.jpsychires.2021.04.013
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发表时间:
2021
影响因子:
4.8
通讯作者:
A. Cohen
A. Cohen
中科院分区:
医学2区
文献类型:
--
作者:
Thanh P. Le;Emma H. Moscardini;Tovah Cowan;B. Elvevåg;Terje B. Holmlund;P. Foltz;Raymond P. Tucker;E. Schwartz;A. Cohen

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自我伤害的想法(SIT)在每时每刻都有很大的波动。因此,"静态"和时间稳定的预测器(例如,人口统计学变量、既往病史)在预测即将发生的SIT方面是次优的。这种担忧对于“在线”认知能力尤其如此,这对于理解SIT很重要,但通常使用时间稳定性选择的测试来测量。动态评估的进展(即,自然环境中的实时评估)允许以改进的时间分辨率测量认知。本研究测量了“状态”认知性能之间的关系,使用基于移动的连线测试,和SIT。自我报告的状态希望和社会联系也进行了测量。使用专门设计的移动的应用程序(每周给药4次,最多28天)在物质使用住院患者(N = 99)中收集数据。与以前的文献一致,国家希望和社会联系与国家SIT显着相关。重要的是,较差的状态认知表现也显著预测状态SIT,独立于标志性静态和状态自我报告风险变量。这些发现强调了“在线”认知对预测SIT的潜在重要性。动态记录反映了一种有效的,敏感的,生态有效的方法来评估主观和客观的预测即将发生的SIT。
Self-injurious thoughts (SITs) fluctuate considerably from moment to moment. As such, “static” and temporally stable predictors (e.g., demographic variables, prior history) are suboptimal in predicting imminent SITs. This concern is particularly true for “online” cognitive abilities, which are important for understanding SITs, but are typically measured using tests selected for temporal stability. Advances in ambulatory assessments (i.e., real-time assessment in a naturalistic environment) allow for measuring cognition with improved temporal resolution. The present study measured relationships between “state” cognitive performance, measured using an ambulatory-based Trail Making Test, and SITs. Self-reported state hope and social connectedness was also measured. Data were collected using a specially designed mobile application (administered 4x/week up to 28 days) in substance use inpatients (N= 99). Consistent with prior literature, state hope and social connectedness was significantly associated with state SITs. Importantly, poorer state cognitive performance also significantly predicted state SITs, independent of hallmark static and state self-report risk variables. These findings highlight the potential importance of “online” cognition to predict SITs. Ambulatory recording reflects an efficient, sensitive, and ecological valid methodology for evaluating subjective and objectives predictors of imminent SITs.
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