Functional Movement Screen (FMS™) score does not predict injury in English Premier League youth academy football players

Newton, Florence; McCall, Alan; Ryan, Desmon̄d; Blackburne, Colin; Fünten, Karen aus der; Meyer, Tim; Lewin, Colin; McCunn, Robert

doi:10.1080/24733938.2017.1283436

Cited by 34 publications

(35 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, in an epidemiological study on 21 division 1‐4 male and female football teams (age 12‐18 years) no association was demonstrated between pre‐season physical fitness tests and in‐season injury . Second, pre‐season physical fitness tests were of limited value in predicting new injuries in two prospective studies on male elite youth football players (n = 84 and n = 67) . Finally, in a prospective study on 382 male elite junior Australian rules football players, an association between physical fitness compounds (lower aerobic endurance, greater sprint, and agility performances) with increased injury risk was first demonstrated, but not reproduced …”

Section: Discussionmentioning

confidence: 97%

“…Numerous studies related to various elements of physical fitness have attempted to identify factors that contribute to injury and illness risk in young athletes, although not at the elite level. Typically, physical fitness tests encompass components such as cardiorespiratory endurance, muscular strength, flexibility tests, and functional movement tests . Prior research studies on the adult population have demonstrated an association between higher levels of aerobic fitness and decreased injury risk, whereas research on the relationship between physical fitness level and illness risk is limited and mostly focus on increasing training loads .…”

Section: Introductionmentioning

confidence: 99%

“…Prior research studies on the adult population have demonstrated an association between higher levels of aerobic fitness and decreased injury risk, whereas research on the relationship between physical fitness level and illness risk is limited and mostly focus on increasing training loads . For youth elite athletes, there are even less data addressing the relationship between physical fitness and injury and illness risk and the results are conflicting . While some studies claim that well‐developed aerobic fitness might protect youth athletes from future injury or illness, no association has been shown with functional movement screening tests, nor with a relatively lower fitness level …”

Section: Introductionmentioning

confidence: 99%

“…For youth elite athletes, there are even less data addressing the relationship between physical fitness and injury and illness risk and the results are conflicting . While some studies claim that well‐developed aerobic fitness might protect youth athletes from future injury or illness, no association has been shown with functional movement screening tests, nor with a relatively lower fitness level …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The association between physical fitness level and number and severity of injury and illness in youth elite athletes

Moseid

Myklebust

Slaastuen

et al. 2019

Scandinavian Med Sci Sports

View full text Add to dashboard Cite

Youth elite athletes often double their training and competition load after enrollment into specialized sport academy high school programs. The least fit athletes may be exposed to an excessive and too rapid increase in training load, with negative adaptations such as injury and illness as a consequence. In this study, our aim was to determine whether these least fit athletes were at greater risk of injury or illness during their first school year. Participants were 166 youth elite athletes (72% boys) from a variety of team, technical, and endurance sports newly enrolled into specialized sport academy high schools. The Oslo Sports Trauma Research Center Questionnaire on Health Problems was used to self‐report injuries and illnesses weekly for 26 weeks. Athletes completed the Ironman Jr physical fitness test battery at baseline, evaluating endurance, strength, agility, and speed properties. We ranked the athletes based on their combined test scores and identified the least fit quartile. The main outcome was the number and severity of health problems, comparing the least fit quartile of athletes to the rest of the cohort. Overall, the least fit quartile of athletes did not report more health problems (mean 3.7, 95% CI 3.0‐4.4) compared with the rest of the cohort (3.6, 3.2‐3.9). In conclusion, we demonstrated no association between low physical fitness level and number and severity of injury and illness in youth elite athletes after enrollment into a specialized sport academy high school program.

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The association between physical fitness level and number and severity of injury and illness in youth elite athletes

Moseid

Myklebust

Slaastuen

et al. 2019

Scandinavian Med Sci Sports

View full text Add to dashboard Cite

show abstract

“…In order to solve this problem, a nonlinear analysis tool can be introduced to explain. By adjusting the weight of each layer of neurons, the sales effect can be accurately reflected the nonlinear mapping relationship reflected in [27]. In the BP neural network, the object of the research on the prediction of the sales effect of the football league is the price of related products.…”

Section: Bp Neural Network Football League Sales Effect Prediction Mementioning

confidence: 99%

Forecast of Football League Sales Effect Based on BP Neural Network

Wei-feng

2020

Preprint

View full text Add to dashboard Cite

Football is one of the sports that is loved by people all over the world. Its sales ability in the league should not be underestimated. Moreover, football has been developed in our country since ancient times and has a huge fan base, and fans are the main target of football league sales. Predicting the sales effect of the football league is helpful for the seller to formulate a suitable sales strategy and avoid the problem of product surplus. This article mainly introduces the prediction research of football league sales effect based on BP neural network, and intends to provide ideas and methods for predicting the sales effect of football league. This paper puts forward the basic method of the sales effect prediction of the football league and the BP neural network football league sales effect prediction method to analyze and predict the sales effect of the football league. In addition, the steps of establishing BP neural network design, building BP neural network football league sales effect prediction model and applying BP neural network football league sales effect prediction model are also proposed. The experimental results of this article show that the difference between the fitting part of the neural network model and the real value of the football league sales effect sample data is in the range of , the error percentage difference is small, and the prediction results are valid。

show abstract

Factors Influencing the Relationship Between the Functional Movement Screen and Injury Risk in Sporting Populations: A Systematic Review and Meta-analysis

et al. 2019

View full text Add to dashboard Cite

Functional Movement Screen (FMS™) score does not predict injury in English Premier League youth academy football players

Cited by 34 publications

References 17 publications

The association between physical fitness level and number and severity of injury and illness in youth elite athletes

The association between physical fitness level and number and severity of injury and illness in youth elite athletes

Forecast of Football League Sales Effect Based on BP Neural Network

Factors Influencing the Relationship Between the Functional Movement Screen and Injury Risk in Sporting Populations: A Systematic Review and Meta-analysis

Contact Info

Product

Resources

About