Ling Xin, Liuhui Wang, Xuan Cao, Yingnan Tian, Yisi Yang, Kexin Wang, Zheng Kang, Miaomiao Zhao, Chengcheng Feng, Xinyu Wang, Nana Luo, Huan Liu, Qunhong Wu
Objective: This study aimed to assess Chinese public pandemic fatigue and potential influencing factors using an appropriate tool and provide suggestions to relieve this fatigue. Methods: This study used a stratified sampling method by age and region and conducted a cross-sectional questionnaire survey of citizens in Xi'an, China, from January to February 2022. A total of 1500 participants completed the questionnaire, which collected data on demographics, health status, coronavirus disease 2019 (COVID-19) stressors, pandemic fatigue, COVID-19 fear, COVID-19 anxiety, personal resiliency, social support, community resilience, and knowledge, attitude, and practice toward COVID-19. Ultimately, 1354 valid questionnaires were collected, with a response rate of 90.0%. A binary logistic regression model was used to examine associations between pandemic fatigue and various factors. Result: Nearly half of the participants reported pandemic fatigue, the major manifestation of which was “being sick of hearing about COVID-19” (3.353 ± 1.954). The logistic regression model indicated that COVID-19 fear (OR = 2.392, 95% CI = 1.804–3.172), sex (OR = 1.377, 95% CI = 1.077–1.761), the pandemic's impact on employment (OR = 1.161, 95% CI = 1.016–1.327), and COVID-19 anxiety (OR = 1.030, 95% CI = 1.010–1.051) were positively associated with pandemic fatigue. Conversely, COVID-19 knowledge (OR = 0.894, 95% CI = 0.837–0.956), COVID-19 attitude (OR = 0.866, 95% CI = 0.827–0.907), COVID-19 practice (OR = 0.943, 95% CI = 0.914–0.972), community resiliency (OR = 0.978, 95% CI = 0.958–0.999), and health status (OR = 0.982, 95% CI = 0.971–0.992) were negatively associated with pandemic fatigue. Conclusion: The prevalence of pandemic fatigue among the Chinese public was prominent. COVID-19 fear and COVID-19 attitude were the strongest risk factors and protective factors, respectively. These results indicated that the government should carefully utilize multi-channel promotion of anti-pandemic policies and knowledge. Copyright © 2022 Xin, Wang, Cao, Tian, Yang, Wang, Kang, Zhao, Feng, Wang, Luo, Liu and Wu.
Department of Health Policy, School of Health Management, Harbin Medical University, Harbin, China; Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, China; School of Business and Economics, University of San Carlos, Cebu, Philippines; Harbin Center for Disease Control and Prevention, Harbin, China; Department of Health Management, School of Public Health, Nantong University, Jiangsu, Nantong, China; Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
