ArticleFrontiers in public health2022
Prevalence and influencing factors of pandemic fatigue among Chinese public in Xi'an city during COVID-19 new normal: a cross-sectional study.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 18 citations in OpenAlex.
- Pandemic fatigue and associated factors: a meta-analysis using the COM-B model.Frontiers in psychology · 2026Review
- Attitudes towards vaccination against COVID-19 during pregnancy and its determinants among people of reproductive age.Human vaccines & immunotherapeutics · 2025Article
- COVID-19's disruptions to daily life and pandemic fatigue during the pandemic in Chinese people: a moderated mediation effect of perceived stress and social support.BMC public health · 2025Article
- Article
- Association between COVID-19 anxiety syndrome and COVID-19 vaccine hesitancy in the postpandemic era: a cross-sectional study in Hong Kong.BMC public health · 2025Article
- A Systematic Review of the Definition, Measurement, and Associated Factors of Pandemic Fatigue.China CDC weekly · 2024Article
- Évaluation de la structure factorielle et des qualités psychométriques de l'Échelle de Fatigue Pandémique parmi la population adulte québécoise: Evaluation of the factorial structure and psychometric qualities of the Pandemic Fatigue Scale among Quebec adult population.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Article
- Predictors of adherence in Austrian employees during the COVID-19 pandemic: results of an online survey.Frontiers in public health · 2024Article
- Article
- "Pandemic Fatigue" in South America: A Multi-Center Report from Argentina, Bolivia, Paraguay, Peru, and Uruguay.Brain sciences · 2023Article
- COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in Malaysia.International journal of environmental research and public health · 2023Article
- The Effectiveness of Electrical Vestibular Stimulation (VeNS) on Symptoms of Anxiety: Study Protocol of a Randomized, Double-Blinded, Sham-Controlled Trial.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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