| Literature DB >> 35487684 |
Evi Wezenbeek1, Sander Denolf2, Tine Marieke Willems2, Dries Pieters2, Jan G Bourgois3,4, Renaat M Philippaerts5, Bram De Winne6, Matthias Wieme2, Robbe Van Hecke2, Laurence Markey2, Joke Schuermans2, Erik Witvrouw2, Steven Verstockt7.
Abstract
OBJECTIVES: The aim of this study was to investigate the association between SARS-CoV-2 infection and muscle strain injury in elite athletes.Entities:
Keywords: COVID-19; athletes; athletic injuries; muscle; prospective studies
Year: 2022 PMID: 35487684 PMCID: PMC9062454 DOI: 10.1136/bjsports-2021-104595
Source DB: PubMed Journal: Br J Sports Med ISSN: 0306-3674 Impact factor: 18.473
Figure 1Flow chart to identify the group with injuries and the group with SARS-CoV-2 infection.
Participant demographics, injury overview and SARS-CoV-2 infections per team
| Team A (n=32) | Team B (n=30) | Team C (n=22) | Total (n=84) | |
| Participant characteristics | ||||
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| Age (years) | 23.50±3.88 | 24.93±4.24 | 25.23±5.40 | 24.46±4.45 |
| BMI (kg/m²) | 23.30±1.31 | 23.95±1.88 | 23.49±1.46 | 23.57±1.57 |
| Games/week (n) | 1.70±0.55 | 1.64±0.56 | 1.23±0.43 | 1.52±0.48 |
| Injury overview | ||||
| Frequency (%) | Frequency (%) | Frequency (%) | Frequency (%) | |
| Number of injured players (n) | 22 | 22 | 17 | 61 |
| Total number of injuries (n) | 32 | 30 | 22 | 84 |
| Non-contact injuries | 15 (47) | 14 (47) | 8 (36) | 37 (44) |
| Muscle strains | 6 (19) | 8 (27) | 4 (18) | 18 (21) |
| Time loss muscle strains (days, Median ±IQR) | 12.5±33.0 | 10.5±33.0 | 7.5±21.0 | 10.5±37.0 |
| SARS-CoV-2 infections | ||||
| Frequency (%) | Frequency (%) | Frequency (%) | Frequency (%) | |
| Number of infected players (n) | 10 | 10 | 2 | 22 |
| Symptoms of COVID-19 disease | ||||
| Asymptomatic | 2 (20) | 2 (20) | 0 (0) | 4 (18) |
| Mild | 1 (10) | 5 (50) | 1 (50) | 7 (32) |
| Moderate | 5 (50) | 3 (30) | 1 (50) | 9 (41) |
| Sever | 2 (20) | – | – | 2 (9) |
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| Median ±IQR | Median ±IQR | Median ±IQR | Median ±IQR |
| Quarantine duration (days) | 9.0±12.0 | 15.0±25.0 | 15.00±0.0 | 11.0±25.0 |
| Time between return to training and injury (days) | 23.0±22.0 | 11.0±23.0 | – | 12.0±31.0 |
BMI, body mass index.
Crosstab of players with a muscle strain injury and SARS-CoV-2 infection
| Muscle strain injury | Total | |||
| No | Yes | |||
| SARS-CoV-2 infection | No | 55 | 7 | 62 |
| Yes | 15 | 7 | 22 | |
| Total | 70 | 14 | 84 | |
Multivariable analysis of the association between SARS-CoV-2 infections and muscle strain injury using Cox proportional hazards regression analysis (AIC=53.9)
| Indicator | HR | 95% CI | P value |
| BMI (kg/m2) | 2.0 | 1.2 to 3.1 | 0.004 |
| SARS-CoV-2 infection | 5.1 | 1.1 to 23.1 |
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AIC, Akaike’s information criterion; BMI, body mass index.