Naik Bijaya Nanda, Pandey Sanjay, Rao Rajath, Verma Manisha, Singh Prashant Kumar
Department of Community and Family medicine, All India Institute of Medical Sciences, Patna, India.
Osong Public Health Res Perspect. 2022 Feb;13(1):51-61. doi: 10.24171/j.phrp.2021.0316. Epub 2022 Feb 8.
With the emergence of the coronavirus disease 2019 (COVID-19) pandemic, healthcare professionals (HCPs) have experienced high levels of stress and anxiety because of the high risk of infection for themselves and their families. This has led to acute sleep problems for HCP. This study was designed to assess the anxiety and sleep quality of HCPs during the COVID-19 pandemic.
This cross-sectional study analyzed 370 HCPs employed at All India Institute of Medical Sciences Patna over 3 months, using the standard Generalized Anxiety Disorder 7-item scale (GAD-7) for suspected GAD and the Pittsburgh Sleep Quality Index for sleep quality. Results were tabulated and multivariable binomial logistic regression analysis was done to determine the predictors of poor sleep. Significance was attributed to p<0.05.
Of the 370 HCPs screened, 52 (14.1%; 95% confidence interval [CI], 10.8%-18.1%) were found to have GAD and 195 (52.7%; 95% CI, 47.5%-57.9%) were found to be poor sleepers. The presence of any addictive habit (adjusted odds ratio [AOR], 1.833; 95% CI, 1.12-2.8), unprotected contact with COVID-19 cases (AOR, 1.902; 95% CI, 1.1-3.3), and the presence of GAD (AOR, 5.57; 95% CI, 2.5-12.4) were found to be predictors of poor sleep quality among HCPs.
A significant proportion of HCPs were found to have suspected GAD and were poor sleepers. This highlights the need for measures to confront this problem.
随着2019冠状病毒病(COVID-19)大流行的出现,医护人员因其自身及其家人面临的高感染风险而经历了高度的压力和焦虑。这导致医护人员出现急性睡眠问题。本研究旨在评估COVID-19大流行期间医护人员的焦虑和睡眠质量。
这项横断面研究在3个月内分析了巴特那全印度医学科学研究所的370名医护人员,使用标准的7项广泛性焦虑障碍量表(GAD-7)来筛查疑似广泛性焦虑障碍,并使用匹兹堡睡眠质量指数来评估睡眠质量。结果制成表格,并进行多变量二项式逻辑回归分析以确定睡眠不佳的预测因素。p<0.05具有统计学意义。
在筛查的370名医护人员中,发现52人(14.1%;95%置信区间[CI],10.8%-18.1%)患有广泛性焦虑障碍,195人(52.7%;95%CI,47.5%-57.9%)睡眠不佳。发现存在任何成瘾习惯(调整优势比[AOR],1.833;95%CI,1.12-2.8)、与COVID-19病例的无保护接触(AOR,1.902;95%CI,1.1-3.3)以及广泛性焦虑障碍的存在(AOR,5.57;95%CI,2.5-12.4)是医护人员睡眠质量不佳的预测因素。
发现相当一部分医护人员疑似患有广泛性焦虑障碍且睡眠不佳。这凸显了应对这一问题的措施的必要性。