Department of Maternal and Child Health, Jordan University of Science and Technology, Irbid, Jordan.
Department of Pharmacy Practice and Pharmacotherapeutics, University of Sharjah, Sharjah, UAE.
Medicine (Baltimore). 2023 Jan 20;102(3):e32737. doi: 10.1097/MD.0000000000032737.
This study aims to investigate sleep patterns and quality in patients who had SARS-CoV-2 (COVID-19) infection and to determine the sleep quality and pattern among patients. A cross-sectional design was used to assess sleeping patterns during the post-COVID-19 era for recovered individuals from April 1st, 2022, to June 1st, 2022. The participants had to meet the following requirements: both genders, ages 18 to 70, and previously infected with COVID-19. The prevalence of low sleep quality among the recovered individuals during post-COVID-19 era was 834 (40.6%), and the prevalence of disturbance in sleep quality was 1308 (63.6%). Lower economic status and younger ages in twenties and thirties experienced more disturbances in sleep patterns than other older ages. Many predictors were determined the quality of sleep. These predictors were age (B = .105, P = .00), income (B = .05, P = .035) and educational level (B = .20, P = .006). To sum up, our study found that the prevalence of low sleep quality among the recovered individuals during post-COVID-19 era was moderate, and the prevalence of disturbance in sleep quality was high. The predictors of quality of sleep were age, income, and educational level. Practitioners should be trained to evaluate and manage sleep disturbances, as this comprehensive approach has the potential to reduce mental distress and prevent the consequences of sleep disturbances.
这项研究旨在调查感染 SARS-CoV-2（COVID-19）的患者的睡眠模式和质量，并确定患者的睡眠质量和模式。采用横断面设计评估 2022 年 4 月 1 日至 6 月 1 日期间 COVID-19 康复者的睡眠模式。参与者必须符合以下要求：性别不限，年龄 18 至 70 岁，以前感染过 COVID-19。在 COVID-19 后时代，康复者中低睡眠质量的患病率为 834 例（40.6%），睡眠质量障碍的患病率为 1308 例（63.6%）。经济状况较低和二十多岁、三十多岁的年轻患者比其他年龄段的患者更易出现睡眠模式紊乱。许多预测因素可确定睡眠质量。这些预测因素包括年龄（B =.105，P =.00）、收入（B =.05，P =.035）和教育程度（B =.20，P =.006）。总之，我们的研究发现，COVID-19 后时代康复者的低睡眠质量患病率为中度，睡眠质量障碍的患病率较高。睡眠质量的预测因素是年龄、收入和教育程度。从业者应接受培训，以评估和管理睡眠障碍，因为这种综合方法有可能减轻精神困扰并预防睡眠障碍的后果。
