Psychological Wellbeing and Perceived Fatigue in Competitive Athletes after SARS-CoV-2 Infection 2 Years after Pandemic Start: Practical Indications.
Andrea BuonsensoArianna MurriMarco CentorbiGiulia Di MartinoGiuseppe CalcagnoAlessandra di CagnoGiovanni FiorilliEnzo IulianoPublished in: Journal of functional morphology and kinesiology (2022)
The COVID-19 pandemic deeply affected sports and athletes, influencing performance and psychological wellbeing. In order to provide useful guidelines for coaches, a web-based survey was conducted. Three web-based questionnaires were administered during the last phase of the Omicron wave to a total of 204 Italian athletes (age 24.96 ± 9.82): an informative questionnaire to collect sociodemographic data and infection symptoms information, the Fatigue Severity Scale (FSS) and the General Health Questionnaire-12 (GHQ-12). No differences between infection sequels of different variant typologies were found over the long term after the infection. The most frequently declared symptoms included cough (50%), muscular skeletal impairments (48%) fatigue (43%) and fever (43%). Results showed that female athletes have a higher risk of developing post-COVID-19 symptoms, GHQ-12 worse results ( p = 0.005) and greater fatigue ( p = 0.0002) than males. No significant difference in infection incidence between high- and low-level athletes was found. Endurance athletes showed greater perceived fatigue than anaerobic sports athletes ( p = 0.045). Conclusions: These results suggested the need for specific approaches and continuous updating to differentiate training programs for different athletes during the return to play. Medical controls and daily monitoring of athletes of all levels after the infection could be advisable.
Keyphrases
- sleep quality
- high school
- sars cov
- healthcare
- physical activity
- coronavirus disease
- depressive symptoms
- public health
- mental health
- cross sectional
- social support
- microbial community
- health information
- risk factors
- working memory
- risk assessment
- skeletal muscle
- resistance training
- deep learning
- heavy metals
- respiratory syndrome coronavirus
- body composition
- human health