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3541por Kolovos, Spyros, Finch, Aureliano P., van der Ploeg, Hidde P., van Nassau, Femke, Broulikova, Hana M., Baka, Agni, Treweek, Shaun, Gray, Cindy M., Jelsma, Judith G. M., Bunn, Christopher, Roberts, Glyn C., Silva, Marlene N., Gill, Jason M. R., Røynesdal, Øystein, van Mechelen, Willem, Andersen, Eivind, Hunt, Kate, Wyke, Sally, Bosmans, Judith E.“…This study aims to investigate the 5 year cost-effectiveness of EuroFIT, a program to improve physical activity tailored specifically for male football (soccer) fans compared to a no intervention comparison group. …”
Publicado 2020
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3542por Janosky, Joseph J., Schneider, Brandon, Ling, Daphne, Russomano, James, Roselaar, Naomi, Boyle, Caroline, Kinderknecht, James, Marx, Robert G.“…METHODS: Eight high school soccer and basketball teams (111 athletes, 53.1% male, mean age 15.6 years) were recruited and assigned to either an intervention or control group. …”
Publicado 2020
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3543por Diekfuss, Jed A., Yuan, Weihong, Foss, Kim D. Barber, Dudley, Jonathan A., DiCesare, Christopher A., Logan, Kelsey, Leach, James L., Myer, Gregory D.“…METHODS: 379 athletes (male American football and female Soccer) were included in this report. Of the 16693 total athlete exposures, 40 resulted in a diagnosed concussion and were included in these analyses. …”
Publicado 2020
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3544por Kurz, Eduard, Schwesig, René, Pröger, Stefan, Brehme, Kay, Delank, Karl-Stefan, Bartels, Thomas“…MATERIALS AND METHODS: Eighty-four athletes (age: 24 (SD 5) years; 21 women; handball: 33, soccer: 25, volleyball: 15, ice hockey: 5, track and field: 3, judo: 2, swimming: 1) participated in this cross-sectional design. …”
Publicado 2020
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3545“…Sports represented were: soccer (60 athletes), rugby (38 athletes), Judo (3 athletes), gymnastics (3 athletes), basketball (1 athlete), cricket (1 athletes), netball (1 athlete), and skiing (1 athlete). …”
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3546por Plisky, Phillip, Schwartkopf-Phifer, Katherine, Huebner, Bethany, Garner, Mary Beth, Bullock, Garrett“…Differences in composite score were noted between soccer (97.6; 95%CI 95.9-99.3) and basketball (92.8; 95%CI 90.4-95.3; p <0.01), and baseball (97.4; 95%CI 94.6-100.2) and basketball (92.8; 95%CI 90.4-95.3; p=0.02). …”
Publicado 2021
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3547“…CECS affects males and females equally but is especially common in young athletes, particularly competitive runners, as well as soccer, field hockey and lacrosse players and in military personnel. …”
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3548por Worrall, Hannah M., Cooper, Savannah, Jones, Jacob C., Miller, Shane M., Chung, Jane S.“…There were more males (49.7 vs 38.5%, p<0.0001) and more Hispanic or Latinos (20.2 vs 16.4%, p<0.0001) in the UNDER compared to the OVER group. Soccer (23.0%) was the most common primary sport for the UNDER group while gymnastics (27.1%) was for the OVER group. …”
Publicado 2022
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3549por Clark, Kenneth, Brunst, Caroline, Dibartola, Alex, Cavendish, Parker, Milliron, Eric, Kaeding, Christopher, Duerr, Robert, Magnussen, Robert, Flanigan, David, Swinehart, Steven“…Athletes participated in the following sports (Tegner Activity Scale: 7 or higher): basketball, football, soccer, lacrosse, wrestling, volleyball, softball, track and field; including three multi-sport athletes. 83% of patients had concurrent ligamentous reconstruction at the time of meniscus surgery. …”
Publicado 2022
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3550por Della Villa, Francesco, Di Paolo, Stefano, Santagati, Dario, Della Croce, Edoardo, Lopomo, Nicola Francesco, Grassi, Alberto, Zaffagnini, Stefano“…METHODS: Thirty-four competitive football (soccer) players (age 22.8 ± 4.1, 18 male and 16 females) were enrolled. …”
Publicado 2021
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3551por Stavrou, Vasileios T., Kyriaki, Astara, Vavougios, George D., Fatouros, Ioannis G., Metsios, George S., Kalabakas, Konstantinos, Karagiannis, Dimitrios, Daniil, Zoe, I. Gourgoulianis, Konstantinos, Βasdekis, George“…Therefore, the aim of this study was to investigate fitness indicators, along with the respiratory and metabolic profile, in post-COVID-19 athletes. Forty male soccer players, were divided into two groups: non-hospitalized COVID-19 (n = 20, Age: [25.2 ± 4.1] years, Body Surface Area [BSA]: [1.9 ± 0.2] m(2), body fat: 11.8% ± 3.4%) versus [vs] healthy (n = 20, Age: [25.1 ± 4.4] years, BSA: [2.0 ± 0.3] m(2), body fat: 10.8% ± 4.5%). …”
Publicado 2022
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3552por Nishimura, Haruki, Brown, Jarrod, Comfort, Spencer, Dornan, Grant, Philippon, Marc“…Patients were collegiate athletes in 19 different sports with football (17% of hips), soccer (15%), ice hockey (14%), and baseball (8%) the most commonly played (Table 2). …”
Publicado 2023
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3553“…Severe chondral defects (grade III/IV) were seen in 218 (51%) of cases and most commonly found in football, soccer, and baseball players. Microfracture was performed in 72 (17%) of total cases. …”
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3554por Di Giminiani, Riccardo, Marinelli, Stefano, La Greca, Stefano, Di Blasio, Andrea, Angelozzi, Massimo, Cacchio, Angelo“…Twenty subjects participated in the present investigation: 10 male athletes of regional–national level (skiers, rugby, soccer, and volleyball players) who were previously operated on one knee and received a complete rehabilitation protocol (for 6–9 months) were included in the ACL group (age: 23.4 ± 2.11 years; stature: 182.0 ± 9.9 cm; body mass: 78.6 ± 9.9 kg; body mass index: 23.7 ± 1.9 kg/m(2)), and 10 healthy male athletes formed the control group (CG: age: 24.0 ± 3.4 years; stature: 180.3 ± 10.7 cm; body mass: 74.9 ± 13.5 kg; body mass index: 22.8 ± 2.7 kg/m(2)). …”
Publicado 2023
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3555por Heyworth, Benton E., May, Collin, Carsen, Sasha, Donohue, Kyna, Miller, Patricia, Kramer, Dennis E., Kocher, Mininder S., Bae, Donald S.“…RESULTS: Out of 641 cases reviewed (79% male; mean age 14.3 years), 408 (64%) fractures were sustained during sports, most frequently football (25%), hockey (18%), soccer (12%), snowboarding (12%) and skiing (9%). …”
Publicado 2014
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3556“…METHODS: A total of 624 female athletes from 52 basketball, soccer and volleyball teams participated and were screened prior to their competitive season. …”
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3557por Wang, Dean, Rugg, Caitlin Marie, Mayer, Erik, Sulzicki, Pamela, Vail, Jeremy, Hame, Sharon L.“…RESULTS: In total, 1,142 athletes in 12 sports (baseball/softball, basketball, football, golf, gymnastics, rowing, swimming & diving, soccer, tennis, track & field/cross country, volleyball, water polo) were identified. …”
Publicado 2015
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3558“…Over the 1-year intervention period, the elite sports class conducted physical education and sport-specific training (i.e., gymnastics, swimming, soccer, bicycle motocross [BMX]) during school time while the regular class attended physical education only. …”
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3559por Hosokawa, Yuri, Murata, Yuki, Stearns, Rebecca L., Suzuki-Yamanaka, Miwako, Kucera, Kristen L., Casa, Douglas J.“…Baseball (n = 25/162, 15.4%), judo (n = 24/162, 14.8%), soccer/futsal (n = 20/162, 12.3%), and basketball (n = 18/162, 11.1%) accounted for 53.7% of deaths. …”
Publicado 2021
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3560por Weekes, Danielle G., Mattson, Meghan, Campbell, Richard E., Tjoumakaris, Fotios P., Pepe, Matthew D., Tucker, Bradford S.“…RESULTS: At the two year time point, of the 602 athletes, 255 (42.4%) reported sport specialization. Soccer (26.9%), baseball (20.6%), softball (18.3%) and swimming (15.6%) had the highest rates of specialization among participants. …”
Publicado 2019
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