Langsrud Knut, Vaaler Arne, Morken Gunnar, Kallestad Håvard, Almvik Roger, Palmstierna Tom, Güzey Ismail C
Department of Psychiatry, St. Olavs University Hospital, Trondheim, Norway.
Department of Mental Health, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
Front Psychiatry. 2019 May 9;10:323. doi: 10.3389/fpsyt.2019.00323. eCollection 2019.
The psychometric instruments developed for short-term prediction of violence in psychiatric inpatients do not include variables assessing sleep. Disturbances in sleep may precede aggression in this setting. We investigated whether adding information on sleep improved the predictive properties of the Brøset Violence Checklist (BVC). The study population consists of all patients admitted to a psychiatric intensive care unit (PICU) over a 6-month period who were hospitalized for at least one night ( = 50). Sleep observed by staff (521 nights), behavior assessed with the BVC (433 days), and aggressive incidents recorded by the Staff Observation Scale-Revised ( = 14) were included in the analysis. The ability of the BVC to predict aggressive incidents improved from AUC 0.757 to AUC 0.873 when a combined sleep variable including both sleep duration and night-to-night variations of sleep duration was added to the BVC recordings. The combined sleep variable did not significantly predict aggressive incidents (AUC 0.653, = 0.051). A sleep disturbance variable improves the predictive properties of the BVC in PICUs. Further studies of sleep duration, night-to-night variations in duration of sleep, and aggression are needed.
为短期预测精神科住院患者暴力行为而开发的心理测量工具未纳入评估睡眠的变量。在这种情况下,睡眠障碍可能先于攻击行为出现。我们研究了添加睡眠信息是否能改善布罗泽特暴力行为清单(BVC)的预测特性。研究人群包括在6个月期间入住精神科重症监护病房(PICU)且住院至少一晚的所有患者(n = 50)。分析纳入了工作人员观察到的睡眠情况(521个夜晚)、用BVC评估的行为(433天)以及用修订后的工作人员观察量表记录的攻击事件(n = 14)。当将包含睡眠时间和每晚睡眠时间变化的综合睡眠变量添加到BVC记录中时,BVC预测攻击事件的能力从AUC 0.757提高到了AUC 0.873。综合睡眠变量对攻击事件的预测不显著(AUC 0.653,p = 0.051)。睡眠障碍变量可改善PICU中BVC的预测特性。需要对睡眠时间、每晚睡眠时间变化以及攻击行为进行进一步研究。