Incidence of injuries among professional football players in Spain during three consecutive seasons: A longitudinal, retrospective study

Torrontegui-Duarte, Marcelino; Gijón-Noguerón, Gabriel; Perez-Frias, Juan Carlos; Morales‐Asencio, José Miguel; Luque-Suárez, Alejandro

doi:10.1016/j.ptsp.2019.11.008

Cited by 12 publications

(33 citation statements)

References 38 publications

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“…The quadriceps and hamstrings were the next most afflicted muscles, followed by the ankles. These results are consistent with the previous findings in the literature [ 10 , 12 , 13 , 14 , 16 ]. In reality, the lower limbs are under more pressure in this activity because of the tactical–technical maneuvers needed, which justifies their increased risk of damage.…”

Section: Discussionsupporting

confidence: 94%

“…A previous study conducted across three consecutive seasons with 123 Chilean elite male football players also reported that the defensive and forward sectors were the ones that contracted more injuries over the study period [ 4 ]. Among 71 Spanish elite male players, forwards were the ones who presented the highest rates in both incidence and severity of injury [ 14 ]. Indeed, the literature has described that certain positions, such as fullbacks and forwards, have more demanding tasks both in-game and during training sessions, such as covering greater distances and running with higher intensity than their peers.…”

Section: Discussionmentioning

confidence: 99%

“…From the clinical standpoint, the literature describes the lower limbs as the most affected body zone by sports injuries [ 4 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ], particularly for muscle injuries in the thigh area, the quadriceps, and the groin [ 4 , 10 , 15 , 16 ]. Since injuries in professional soccer are an increasingly problem, it is crucial that the work done in training sessions reflects the demands of competition, aiming at the development of athletes’ performance, which includes injury prevention [ 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

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Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players

Martins

Przednówek

França

et al. 2022

JCM

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Injuries are one of the most significant issues for elite football players. Consequently, elite football clubs have been consistently interested in having practical, interpretable, and usable models as decision-making support for technical staff. This study aimed to analyze predictive modeling of injury risk based on body composition variables and selected physical fitness tests for elite football players through a sports season. The sample comprised 36 male elite football players who competed in the First Portuguese Soccer League in the 2020/2021 season. The models were calculated based on 22 independent variables that included players’ information, body composition, physical fitness, and one dependent variable, the number of injuries per season. In the net elastic analysis, the variables that best predicted injury risk were sectorial positions (defensive and forward), body height, sit-and-reach performance, 1 min number of push-ups, handgrip strength, and 35 m linear speed. This study considered multiple-input single-output regression-type models. The analysis showed that the most accurate model presented in this work generates an error of RMSE = 0.591. Our approach opens a novel perspective for injury prevention and training monitorization. Nevertheless, more studies are needed to identify risk factors associated with injury prediction in elite soccer players, as this is a rising topic that requires several analyses performed in different contexts.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players

Martins

Przednówek

França

et al. 2022

JCM

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“…14 En otro estudio del Málaga Fútbol Club los números son llamativamente inferiores al nuestro, encontrando una tasa de incidencia de 6,9 /1.000 hs de juego y de 0,2 /1.000 hs de entrenamiento. 15 Nos llama la atención esta diferencia, ya que su muestra involucró una cantidad similar de jugadores durante 3 temporadas. OSICS: Orchard Sports Injury Classification System; TMHB: lesión estructural bíceps femoral; AJLA: esguince lateral de tobillo; TMYH: lesión funcional de isquiotibiales; TMYA: lesión funcional de aductor; AJDX: esguince medial de tobillo; TMAL: lesión estructural aductor largo; THMQ: hematoma post contusivo en el cuádriceps; QMYS: lesión funcional de sóleo; QMGM: lesión estructural gemelo interno; KJMB: esguince ligamento lateral interno de rodilla grado 2; YKLA: posquirúrgico ligamento cruzado anterior; YKCM: posquirúrgico menisectomía; EDXX: luxación de codo; YEXX: posquirúrgico codo; SFCM: fractura tercio medio de clavícula; YARX: posquirúrgico tobillo; AJSX: esguince sindesmosis de tobillo; STSP: desgarro parcial supraespinoso; KGIX: síndrome cintilla iliotibial; KJPX: subluxación rotuliana.…”

Section: Discussionunclassified

Estudio epidemiológico de lesiones en un equipo profesional de fútbol en Argentina

Baldjian¹,

Mohrenberger²,

Ciladi³

2022

AJRPT

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Objetivo: Describir la prevalencia, incidencia, gravedad y el correspondiente impacto lesional de nuestra población, así como establecer una diferenciación entre el periodo del año, puestos y las situaciones en las que se producen las lesiones en un equipo de fútbol. Materiales y método: Estudio observacional, descriptivo, retrospectivo y longitudinal de un equipo de la tercera categoría profesional del fútbol argentino durante dos temporadas (junio 2018 a mayo 2019 y junio 2019 a mayo 2020). Resultados: De 66 jugadores, 53 informaron al menos una lesión, lo que resultó en una prevalencia de lesiones del 80,3% en el período de 2 temporadas. En total se registraron 139 lesiones, de las cuales 54 (38,8%) se produjeron durante los partidos y 85 (61,2%) durante los entrenamientos. Se registró una tasa de incidencia de lesiones de 53,6/1000 horas-partido-jugador y de 3,8/1000 horas-entrenamiento-jugador. La tasa de incidencia global fue de 6,0/1000 horas-jugador. La entidad más frecuente fue la lesión muscular estructural del bíceps femoral, con un total de 16 lesiones, seguida del esguince lateral de tobillo con 13 jugadores afectados. Conclusión: La prevalencia de lesión fue de 80,3%, dentro de ella la lesión estructural del bíceps femoral, el esguince lateral de tobillo, las lesiones funcionales de los isquiotibiales fueron las de mayor incidencia en nuestra población, seguidas de las lesiones funcionales y estructurales de los aductores. Sin embargo, las lesiones del LCA fueron las que causaron mayor impacto lesional.

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“…What in the 1950s and 1960s was a local game, in the following decades began to establish itself as one of people's main pastimes. The importance of football is demonstrated in virtually all areas, with numerous research and applications in the health field (Lozano‐Sufrategui et al, 2020; Torrontegui‐Duarte et al, 2020), in law (Guasch, 2019; Robayo, 2019), education (García et al, 2018; Schmidt et al, 2016), communication (Alcolea‐Díaz & García‐Santamaría, 2019; Rodríguez Ortega & Romero Santos, 2017) or economics (Roberts et al, 2016; Wan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Efficiency and transparency of Spanish football clubs: A non‐parametric approach

Cifuentes‐Faura

2021

Manage Decis Econ

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The economic transparency of football clubs has become one of the most demanded aspects as a consequence of the approval of the Transparency Law in Spain. The aim of this work is to determine whether transparency, together with other economic and sporting variables, influences the efficiency of Spanish first and second division football clubs. In the first stage, efficiency is estimated using DEA bootstrapping. In the second stage, by means of a truncated regression, the weight of transparency on efficiency is studied. In 2015, transparency has a positive influence on the efficiency of football clubs, but not in 2019.

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Incidence of injuries among professional football players in Spain during three consecutive seasons: A longitudinal, retrospective study

Cited by 12 publications

References 38 publications

Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players

Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players

Estudio epidemiológico de lesiones en un equipo profesional de fútbol en Argentina

Efficiency and transparency of Spanish football clubs: A non‐parametric approach

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