Möckel Luis, Hönl Ann-Kathrin, Gräfe Samantha, Jantz Florian, Werner Natalie S
HSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.
Zentralbl Arbeitsmed Arbeitsschutz Ergon. 2022;72(4):175-182. doi: 10.1007/s40664-022-00466-w. Epub 2022 May 17.
Intensive care nurses have irregular and unusual working hours due to shift work, which can disrupt the natural light-dark rhythm and thus increase the risk for sleep disorders.
The aim of this post hoc analysis was to investigate the prevalence of self-reported sleep problems and associated factors among intensive care nurses working in Germany.
This analysis was a post hoc analysis of a cross-sectional study, which was performed as an online survey. Collected data were sociodemographic, work-related and health-related data. These data were used to calculate the prevalence and respective 95% confidence intervals (95% CI) of sleep problems. Factors associated with sleep problems were identified using the χ-test, Fisher's exact test, and logistic regression analysis.
The link to the online survey was accessed 1163 times and 490 intensive care nurses participated in the survey. A total of 432 intensive care nurses were included in this analysis, of whom 82.87% were women. A total of 57.64% (95% CI: 52.83-62.35%) reported sleep problems. Significantly associated with sleep problems were age (50-59 years odds ratio [OR]: 2.05, 95% CI: 1.00-4.21, = 0.047 vs. 20-29 years) and living in a family (OR: 0.50, 95% CI: 0.27-0.93, = 0.029 vs. single/living alone). In addition, depression (OR: 1.09, 95% CI: 1.06-1.12, ≤ 0.001), anxiety (OR: 1.10, 95% CI: 1.06-1.14, ≤ 0.001) and stress (OR: 1.09, 95% CI: 1.06-1.12, ≤ 0.001) levels were significantly associated with sleep problems.
Sleep problems were present in one out of every two participating intensive care nurses and in particular mental health was associated with sleep problems.
由于轮班工作，重症监护护士的工作时间不规律且异常，这可能会扰乱自然的昼夜节律，从而增加睡眠障碍的风险。
本事后分析的目的是调查在德国工作的重症监护护士自我报告的睡眠问题患病率及相关因素。
本分析是一项横断面研究的事后分析，该横断面研究以在线调查的形式进行。收集的数据包括社会人口统计学、工作相关和健康相关数据。这些数据用于计算睡眠问题的患病率及相应的95%置信区间（95%CI）。使用χ检验、Fisher精确检验和逻辑回归分析确定与睡眠问题相关的因素。
在线调查链接被访问1163次，490名重症监护护士参与了调查。本分析共纳入432名重症监护护士，其中82.87%为女性。共有57.64%（95%CI：52.83 - 62.35%）报告有睡眠问题。与睡眠问题显著相关的因素有年龄（50 - 59岁优势比[OR]：2.05，95%CI：1.00 - 4.21，P = 0.047，与20 - 29岁相比）以及与家人同住（OR：0.50，95%CI：0.27 - 0.93，P = 0.029，与单身/独自生活相比）。此外，抑郁（OR：1.09，95%CI：1.06 - 1.12，P≤0.001）、焦虑（OR：1.10，95%CI：1.06 - 1.14，P≤0.001）和压力（OR：1.09，95%CI：1.06 - 1.12，P≤0.001）水平与睡眠问题显著相关。
每两名参与调查的重症监护护士中就有一人存在睡眠问题，特别是心理健康与睡眠问题相关。
