| Literature DB >> 36078838 |
Giuseppe Annino1,2, Vincenzo Manzi3,4, Anas Radi Alashram5, Cristian Romagnoli6, Mattia Coniglio7, Niloofar Lamouchideli8, Marco Alfonso Perrone1,9, Dolores Limongi10,11, Elvira Padua11.
Abstract
The COVID-19 pandemic has shocked the entire planet. The soccer world has also suffered major upheavals, and many professional soccer players have been infected with the virus. The aim of this study was to evaluate the incidence of injuries in Italian Serie A professional soccer players before and during the COVID-19 pandemic.Entities:
Keywords: COVID-19; Italian Serie A; muscular injuries; soccer players
Mesh:
Year: 2022 PMID: 36078838 PMCID: PMC9518420 DOI: 10.3390/ijerph191711117
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Comparisons between seasons 2016–2017, 2017–2018, 2018–2019, and 2020–2021 with respect to the average number of players and number of official matches played by all Serie A teams.
| Seasons | |||||
|---|---|---|---|---|---|
| (2016–2017) | (2017–2018) | (2018–2019) | (2020–2021) |
| |
| Average team players | 33 ± 2 | 32 ± 4 | 33 ± 3 | 32 ± 2 | 0.84 |
| Official match played | 44 ± 5 | 44 ± 6 | 44 ± 5 | 44 ± 5 | 0.99 |
Comparisons between seasons 2016–2017, 2017–2018, 2018–2019, and 2020–2021 with respect to average articular and muscular number of injuries of all Serie A teams. Values are given as mean ± SD (* p < 0.001, statistically different from season 2016-2017, 2017-2018; # p < 0.01 statistical different from season 2018–2019).
| Season (2016–2017) | Season (2017–2018) | Season (2018–2019) | Season (2020–2021) | |
|---|---|---|---|---|
| Articular injury | 10.80 ± 4.03 | 7.35 ± 3.44 | 10.05 ± 5.34 | 7.06 ± 3.93 |
| Muscular injury | 15.90 ± 7.23 | 14.45 ± 5.42 | 19.30 ± 9.38 | 28.70 ± 10.48 *,# |
Comparisons between seasons 2016–2017, 2017–2018, 2018–2019, and 2020–2021 with respect to average articular and muscular number of injuries of all Serie A teams. Data are presented as mean difference and 95% confidence interval of the difference.
| Muscular Injury | Mean Difference |
| 95% CI | |
|---|---|---|---|---|
| Season | Season (2017–2018) | 1.45 | 1.000 | −5.71 to 8.61 |
| Season | Season (2018–2019) | −3.40 | 1.000 | −10.56 to 3.76 |
| Season | Season (2020–2021) | −12.80 | 0.0001 | −19.96 to −5.64 |
| Season | Season (2018–2019) | −4.85 | 0.420 | −12.01 to 2.31 |
| Season | Season (2020–2021) | −14.25 | 0.0001 | −21.41 to −7.09 |
| Season | Season (2020–2021) | −9.40 | 0.0001 | −16.56 to −2.24 |
|
|
|
|
| |
| Season | Season (2017–2018) | 3.45 | 0.072 | −0.18 to 7.08 |
| Season | Season (2018–2019) | 0.75 | 1.000 | −2.88 to 4.38 |
| Season | Season (2020–2021) | 3.20 | 0.117 | −0.43 to 6.83 |
| Season | Season (2018–2019) | −2.70 | 0.286 | −6.33 to 0.93 |
| Season | Season (2020–2021) | −0.25 | 1.000 | −3.88 to 3.38 |
| Season | Season (2020–2021) | 2.45 | 0.430 | −1.18 to 6.08 |
Figure 1Relationship between teams’ total days of positivity and teams’ total number of injuries (r = 0.86; CI 95% 0.66 to 0.94; p < 0.0001).
Comparisons between Player Short Positivity (n = 35) and Player Long Positivity (n = 35) using the median-split technique for days of positivity. Values are given as mean ± SD (* p = 0.0014).
| PSP | PLP | Mean Difference | 95% CI | ES Interpretation | ||
|---|---|---|---|---|---|---|
| Muscular injury | 1.31 ± 0.47 | 1.89 ± 0.90 * | 0.57 | 0.23 to 0.91 | 0.81 | Large |