ABSTRACT
OBJECTIVE: Postacute COVID-19 syndrome (PACS) is an emerging entity characterised by a large array of manifestations, including musculoskeletal complaints, fatigue and cognitive or sleep disturbances. Since similar symptoms are present also in patients with fibromyalgia (FM), we decided to perform a web-based cross-sectional survey aimed at investigating the prevalence and predictors of FM in patients who recovered from COVID-19. METHODS: Data were anonymously collected between 5 and 18 April 2021. The collection form consisted of 28 questions gathering demographic information, features and duration of acute COVID-19, comorbid diseases, and other individual's attributes such as height and weight. The American College of Rheumatology (ACR) Survey Criteria and the Italian version of the Fibromyalgia Impact Questionnaire completed the survey. RESULTS: A final sample of 616 individuals (77.4% women) filled the form 6±3 months after the COVID-19 diagnosis. Of these, 189 (30.7%) satisfied the ACR survey criteria for FM (56.6% women). A multivariate logistic regression model including demographic and clinical factors showed that male gender (OR: 9.95, 95% CI 6.02 to 16.43, p<0.0001) and obesity (OR: 41.20, 95% CI 18.00 to 98.88, p<0.0001) were the strongest predictors of being classified as having post-COVID-19 FM. Hospital admission rate was significantly higher in men (15.8% vs 9.2%, p=0.001) and obese (19.2 vs 10.8%, p=0.016) respondents. CONCLUSION: Our data suggest that clinical features of FM are common in patients who recovered from COVID-19 and that obesity and male gender affect the risk of developing post-COVID-19 FM.
Subject(s)
COVID-19 , Fibromyalgia , COVID-19/complications , COVID-19 Testing , Cross-Sectional Studies , Female , Fibromyalgia/diagnosis , Fibromyalgia/epidemiology , Humans , Internet , Male , SARS-CoV-2 , Surveys and Questionnaires , United States , Post-Acute COVID-19 SyndromeABSTRACT
BACKGROUND: Resilience is defined as the capacity to cope successfully with change or adversity. The aims of our study were to investigate levels of resilience in Italian healthcare professionals (HCPs) during the Coronavirus disease 2019 (COVID-19) pandemic and to identify potential predictors of resilience. METHODS: We performed a web-based survey of HCPs (n = 1009) working in Italian hospitals during the COVID-19 pandemic. The survey contained a 14-item resilience scale (RS14) and questionnaires to evaluate depression and anxiety symptoms. Non-HCP individuals (n = 375) from the general population were used for comparison. RESULTS: HCPs showed significantly lower resilience compared to the control group (p = 0.001). No significant differences were observed after stratification for geographical area, work setting, role, or suspected/confirmed diagnosis of COVID-19. In a linear regression analysis, RS14 was inversely correlated with depression (R2 = 0.227, p < 0.001) and anxiety (R2 = 0.117, p < 0.001) and directly correlated with age (R2 = 0.012, p < 0.001) but not with body mass index (BMI, R2 = 0.002, p = 0.213). In male HCPs, higher depression score (odds ratio (OR) 1.147, p < 0.001) or BMI (OR 1.136, p = 0.011) significantly predicted having low resilience. In female HCPs, higher depression score (OR 1.111, p < 0.0001) and working in a COVID-19 free setting (OR 2.308, p = 0.002) significantly predicted having low resilience. HCPs satisfied with personal protective equipment had higher levels of resilience (p < 0.010). CONCLUSIONS: Our findings suggest that resilience was lower in Italian HCPs than in the general population after the first COVID-19 wave. Specific factors can be identified, and targeted interventions may have an important role to foster resilience of HCPs.