Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

Abstract

Background 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. Method 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. Results 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. Conclusion 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.

Routines, Time Dedication and Habit Changes in Spanish Homes during the COVID-19 Lockdown. A Large Cross-Sectional Survey

“…Some of these studies delved into the effects on the population of childcare [22], remote working [23], work-family reconciliation [24], food insecurity and dietary quality [25], sleep quality [26], leisure and sport [27]. In turn, these studies have been able to focus on the general population [28], as well as on specific segments, such as the elderly [29,30], chronic patients [31], adolescents [6], women [32], or in directly affected unions, such as health workers [33], teachers [34], etc.…”

Quarantine and demographic characteristics as predictors of perceived stress and stress responses during the third year of COVID-19 in China

“…The majority of studies have revealed that health care workers suffered significantly more stress than the general population ( 55 , 56 ). And non-medical anti-epidemic workers in China were also found under huge stress and high exposure risks in the battle against the epidemic ( 57 , 58 ). The inconsistent results can be explained from two aspects: On the one hand, anti-epidemic workers faced challenges such as inadequate virus knowledge, a shortage of personal protective equipment and work-overload at the beginning of the outbreak ( 59 ), which undoubtedly added to their stress.…”

Red Tape and Community Workers’ Proactive Behavior During COVID-19: Applying the Job Demands–Resources Model

“…In the fight against the COVID-19 pandemic, community workers have made a unique contribution to restricting the spread of the pandemic ( Paul et al, 2020 ; Si et al, 2021 ). In mainland China, their significant efforts have included communicating pandemic prevention knowledge, offering psychological counseling, disinfecting public areas and public facilities, providing services for the elderly and the disabled, and investigating potential risks ( Miao et al, 2021 ).…”