Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Symptom cluster is associated with prolonged return-to-play in symptomatic athletes with acute respiratory illness (including COVID-19): A cross-sectional study -AWARE study i

British Journal of Sports Medicine, Volume 55, No. 20, Year 2021

Background There are no data relating symptoms of an acute respiratory illness (ARI) in general, and COVID-19 specifically, to return to play (RTP). Objective To determine if ARI symptoms are associated with more prolonged RTP, and if days to RTP and symptoms (number, type, duration and severity) differ in athletes with COVID-19 versus athletes with other ARI. Design Cross-sectional descriptive study. Setting Online survey. Participants Athletes with confirmed/suspected COVID-19 (ARICOV) (n=45) and athletes with other ARI (ARIOTH) (n=39). Methods Participants recorded days to RTP and completed an online survey detailing ARI symptoms (number, type, severity and duration) in three categories: 'nose and throat', 'chest and neck' and 'whole body'. We report the association between symptoms and RTP (% chance over 40 days) and compare the days to RTP and symptoms (number, type, duration and severity) in ARICOV versus ARIOTH subgroups. Results The symptom cluster associated with more prolonged RTP (lower chance over 40 days; %) (univariate analysis) was 'excessive fatigue' (75%; p0.0001), 'chills' (65%; p=0.004), 'fever' (64%; p=0.004), 'headache' (56%; p=0.006), 'altered/loss sense of smell' (51%; p=0.009), 'Chest pain/pressure' (48%; p=0.033), 'difficulty in breathing' (48%; p=0.022) and 'loss of appetite' (47%; p=0.022). 'Excessive fatigue' remained associated with prolonged RTP (p=0.0002) in a multiple model. Compared with ARIOTH, the ARICOV subgroup had more severe disease (greater number, more severe symptoms) and more days to RTP (p=0.0043). Conclusion Symptom clusters may be used by sport and exercise physicians to assist decision making for RTP in athletes with ARI (including COVID-19).

Statistics
Citations: 31
Authors: 10
Affiliations: 8
Research Areas
Covid
Infectious Diseases
Study Design
Cross Sectional Study
Study Approach
Quantitative