Gravante Francesco, Pucciarelli Gianluca, Sperati Francesca, Cecere Luciano, Anastasi Giuliano, Mancin Stefano, Rea Teresa, Latina Roberto
Department of Anesthesiology, Intensive Care Unit, Local Health Authority of Caserta, Caserta, Italy.
Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Aust Crit Care. 2025 May;38(3):101165. doi: 10.1016/j.aucc.2024.101165. Epub 2025 Jan 29.
AIM/OBJECTIVE: The aim of this study was to determine risk factors and associations between anxiety, depression, stress, and job burnout and describe sleep disorders in critical care nurses.
Data were collected in six intensive care units.
A descriptive cross-sectional design was used. Multivariate and univariate regressions were used to determine significant risk factors. Significance levels were established at p <0.05. We use Depression Anxiety Stress Scales to determine anxiety, depression, and stress. Work burnout was detected using the Maslach Burnout Inventory scale, and sleep quality was determined by the Pittsburgh Sleep Quality Index.
A total of 140 critical care nurses were included. The female gender was associated with high levels of anxiety (odds ratio [OR] = 3.03; 95% confidence interval [CI] = [1.12-8.23]; p = 0.029), depression (OR = 10.55; 95% CI = [2.17-51.19]; p = 0.003), and stress (OR = 2.87; 95% CI = [1.02-8.07]; p = 0.045). Multivariate regression showed that critical care nurses with intention of leaving were exposed to high levels of anxiety (OR = 3.65; 95% CI = [1.40-9.53]; p = 0.008), depression (OR = 6.79; 95% CI = [2.01-22.95]; p = 0.002), stress [OR = 4.13; 95% CI = [1.49-11.45]; p = 0.006), and burnout (OR = 4.15; 95% CI = [1.63-10.56]; p = 0.003). Sleep quality is influenced by high latency, low duration, the use of medications, and daytime dysfunction.
Females were exposed to a higher risk of developing mental health problems such as anxiety, depression, and stress than men. The intention to leave was an independent predictor of anxiety, depression, and stress. Characteristics such as high sleep latency, low duration, use of medications, and daytime dysfunction have a negative impact on sleep quality. Early detection of mental health would allow nursing managers to implement nonpharmacological preventive interventions to improve well-being at work.
本研究旨在确定焦虑、抑郁、压力和职业倦怠之间的风险因素及关联，并描述重症监护护士的睡眠障碍情况。
数据收集于六个重症监护病房。
采用描述性横断面设计。使用多变量和单变量回归来确定显著的风险因素。显著性水平设定为p<0.05。我们使用抑郁焦虑压力量表来确定焦虑、抑郁和压力。使用马氏职业倦怠量表检测职业倦怠，并用匹兹堡睡眠质量指数确定睡眠质量。
共纳入140名重症监护护士。女性与高水平的焦虑（优势比[OR]=3.03；95%置信区间[CI]=[1.12 - 8.23]；p = 0.029）、抑郁（OR = 10.55；95% CI = [2.17 - 51.19]；p = 0.003）和压力（OR = 2.87；95% CI = [1.02 - 8.07]；p = 0.045）相关。多变量回归显示，有离职意向的重症监护护士面临高水平的焦虑（OR = 3.65；95% CI = [1.40 - 9.53]；p = 0.008）、抑郁（OR = 6.79；95% CI = [2.01 - 22.95]；p = 0.002）、压力（OR = 4.13；95% CI = [1.49 - 11.45]；p = 0.006）和职业倦怠（OR = 4.15；95% CI = [1.63 - 10.56]；p = 0.003）。睡眠质量受入睡潜伏期长、睡眠时间短、药物使用和日间功能障碍的影响。
女性比男性面临更高的患焦虑、抑郁和压力等心理健康问题的风险。离职意向是焦虑、抑郁和压力的独立预测因素。入睡潜伏期长、睡眠时间短、药物使用和日间功能障碍等特征对睡眠质量有负面影响。早期发现心理健康问题将使护理管理人员能够实施非药物预防性干预措施，以改善工作中的幸福感。
