School of Health Sciences, Wuhan University, Wuhan, 430071, China.
School of Nursing, Shenzhen University, Shenzhen, 518037, China.
BMC Public Health. 2021 Jun 30;21(1):1270. doi: 10.1186/s12889-021-11312-8.
Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers.
A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire.
Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality.
Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.
自 2019 年 12 月新冠肺炎(COVID-19)爆发以来,社区非医学防疫工作者在中国的 COVID-19 预防中发挥了重要作用。本研究旨在评估社区非医学防疫工作者的睡眠质量及其相关因素。
采用匿名在线问卷于 2020 年 3 月 16 日至 2020 年 3 月 24 日进行调查,共纳入 474 名参与者,完成率为 94.23%。问卷内容包括人口统计学资料、躯体症状和与 COVID-19 的接触史。研究人员采用多维感知社会支持量表(MSPSS)评估感知社会支持,采用感知压力量表(PSS)评估感知压力,采用匹兹堡睡眠质量指数(PSQI)问卷评估睡眠质量。
在参与者中,46.20%报告睡眠质量差。二项逻辑回归显示,具有大专及以上学历、警察、接触过确诊或疑似 COVID-19 感染者、患有慢性病、2 周内患病和感知压力高或中度是睡眠质量差的显著相关因素。
人口统计学因素、躯体症状、COVID-19 接触史和感知压力与社区非医学防疫工作者的睡眠质量显著相关。因此,针对这些因素可能有助于提高社区工作者的睡眠质量。