The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball

Despite various research approaches,there is still conflicting evidence as to the worthiness of injury prediction tools in football. This study was aiming at investigating correlations between injuries of amateur male football players and the results of a Functional Movement Screen (FMS). Using an o...

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Autores principales: Schroeder J, Wellmann K, Stein D, BraumannKM
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Publicado: Dynamic Media Sales Verlag 2016
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spelling oai:doaj.org-article:a6d84b43136f4be299e3495bdcf7c3072021-11-16T19:01:42ZThe Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball0344-59252510-526410.5960/dzsm.2015.200https://doaj.org/article/a6d84b43136f4be299e3495bdcf7c3072016-02-01T00:00:00Zhttps://www.germanjournalsportsmedicine.com/archive/archive-2016/issue-2/the-functional-movement-screen-for-injury-prediction-in-male-amateur-football/https://doaj.org/toc/0344-5925https://doaj.org/toc/2510-5264Despite various research approaches,there is still conflicting evidence as to the worthiness of injury prediction tools in football. This study was aiming at investigating correlations between injuries of amateur male football players and the results of a Functional Movement Screen (FMS). Using an observational design, ten amateur teams of the fifth and sixth division (Deutscher Fuball-Bund) were examined by means of FMS scores prior to a tenweek off- and main- season observation period (July to September 2013). The assessment included injuries and football exposure times during training and competition. Injury was defined as concerning the lower limb, and as non-contact with time loss of at least three days. After a drop-out of 56% (125 out of 221), 96 players could be analysed. We calculated a total exposure time of 1.770 hours (competition 289 h, training 1,481 h). We observed 10 injury incidents concerning 8 players, occurring exclusively during training. The according incidence was 6.8 injuries per 1.000 training hours. There were no significantdifferences between injured and uninjured players neither for any FMS item nor for the total score except for the hurdle step (Z=-2.059; p=0.040). Only the ratings for the hurdle step task and the injury state were correlated significantly (rpbis=0.209; p=0.041). Even if taking into account some experimental limitations, we conclude that the FMS does not allow a valid injury prediction in the field of amateur male football players.KEY WORDS: Football, Functional Movement Screen, Injury PredictionSchroeder JWellmann KStein DBraumannKMDynamic Media Sales VerlagarticleSports medicineRC1200-1245DEENDeutsche Zeitschrift für Sportmedizin, Vol 67, Iss 2 (2016)
institution DOAJ
collection DOAJ
language DE
EN
topic Sports medicine
RC1200-1245
spellingShingle Sports medicine
RC1200-1245
Schroeder J
Wellmann K
Stein D
BraumannKM
The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
description Despite various research approaches,there is still conflicting evidence as to the worthiness of injury prediction tools in football. This study was aiming at investigating correlations between injuries of amateur male football players and the results of a Functional Movement Screen (FMS). Using an observational design, ten amateur teams of the fifth and sixth division (Deutscher Fuball-Bund) were examined by means of FMS scores prior to a tenweek off- and main- season observation period (July to September 2013). The assessment included injuries and football exposure times during training and competition. Injury was defined as concerning the lower limb, and as non-contact with time loss of at least three days. After a drop-out of 56% (125 out of 221), 96 players could be analysed. We calculated a total exposure time of 1.770 hours (competition 289 h, training 1,481 h). We observed 10 injury incidents concerning 8 players, occurring exclusively during training. The according incidence was 6.8 injuries per 1.000 training hours. There were no significantdifferences between injured and uninjured players neither for any FMS item nor for the total score except for the hurdle step (Z=-2.059; p=0.040). Only the ratings for the hurdle step task and the injury state were correlated significantly (rpbis=0.209; p=0.041). Even if taking into account some experimental limitations, we conclude that the FMS does not allow a valid injury prediction in the field of amateur male football players.KEY WORDS: Football, Functional Movement Screen, Injury Prediction
format article
author Schroeder J
Wellmann K
Stein D
BraumannKM
author_facet Schroeder J
Wellmann K
Stein D
BraumannKM
author_sort Schroeder J
title The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
title_short The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
title_full The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
title_fullStr The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
title_full_unstemmed The Functional Movement Screen for Injury Prediction in Male Amateur Football / Der Functional Movement Screen zur Verletzungsvorhersage im Männer-Amateurfußball
title_sort functional movement screen for injury prediction in male amateur football / der functional movement screen zur verletzungsvorhersage im männer-amateurfußball
publisher Dynamic Media Sales Verlag
publishDate 2016
url https://doaj.org/article/a6d84b43136f4be299e3495bdcf7c307
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