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Introduction: Football was the first sport to resume competitions after the coronavirus disease 2019 (COVID-19) lockdown and promptly the hypothesis was raised of a potential relationship between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and musculoskeletal injuries in athletes. This study aimed to confirm the association between SARS-CoV-2 infection and muscle strain injury in a large population of elite football players and to investigate if the COVID-19 severity level could affect the risk of injury., Methods: A retrospective cohort study involving 15 Italian professional male football teams was performed during the Italian Serie A 2020-2021 season. Injuries and SARS-CoV-2 positivity data were collected by team doctors through an online database., Results: Of the 433 included players, we observed 173 SARS-CoV-2 infections and 332 indirect muscle strains. COVID-19 episodes mostly belonged to severity level I and II. The injury risk significantly increased after a COVID-19 event, by 36% (HR = 1.36, CI 95% 1.05; 1.77, p -value = 0.02). The injury burden demonstrated an 86% increase (ratio = 1.86, CI 95% 1.21; 2.86, p -value = 0.005) in the COVID-19 severity level II/III versus players without a previous SARS-CoV-2 infection, while level I (asymptomatic) patients showed a similar average burden (ratio = 0.92, CI 95% 0.54; 1.58, p -value = 0.77). A significantly higher proportion of muscle-tendon junction injuries (40.6% vs. 27.1%, difference = 13.5%, CI 95% 0.002%; 26.9%, p -value = 0.047) was found when comparing level II/III versus Non-COVID-19., Conclusions: This study confirms the correlation between SARS-CoV-2 infection and indirect muscle injuries and highlights how the severity of the infection would represent an additional risk factor.

This study evaluated the correlation between scapula size and stature and developed standard equations in order to estimate stature by CT scan evaluation. A total of 200 healthy Italian subjects (100 men and 100 women, mean age 64.2±12.8years) underwent thoracic CT scan evaluation during pulmonary screening in our department; we measured the stature of each patient with standard anthropometric instruments and then analyzed images to calculate the longitudinal scapular length (LSL) and the transverse scapular length (TSL). The correlation between stature and each parameter measured was analyzed by dividing the population into two groups, males and females, and was examined by simple regression analysis using Pearson's correlation coefficient (r). Each anthropometric variable showed a significant difference between males and females (p value <0.001). The correlation coefficients (r-values) were LSL=0.74 and TSL=0.51 in males and LSL=0.70 and TSL=0.48 in females. In both sexes the r-values showed a significant correlation between stature and LSL. Our study demonstrates that scapulae can be used for stature estimation; in our sample LSL was found to have a better correlation with stature then TSL. hm=4.247*LSL+93.74 and hf=4.031*LSL+92.38 are the formulae that provide the most accurate stature assessment in males and females respectively., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)