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Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults

BACKGROUND: Physical activity has many health benefits but also carries a risk of injury. Some universal factors are connected with an increased risk regardless of the type of sport. Identifying these factors may help predict injuries and aid in their prevention. AIM: The aim of this study is to det...

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Autores principales: Koźlenia, Dawid, Domaradzki, Jarosław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139277/
https://www.ncbi.nlm.nih.gov/pubmed/34046260
http://dx.doi.org/10.7717/peerj.11399
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author Koźlenia, Dawid
Domaradzki, Jarosław
author_facet Koźlenia, Dawid
Domaradzki, Jarosław
author_sort Koźlenia, Dawid
collection PubMed
description BACKGROUND: Physical activity has many health benefits but also carries a risk of injury. Some universal factors are connected with an increased risk regardless of the type of sport. Identifying these factors may help predict injuries and aid in their prevention. AIM: The aim of this study is to determine the level of injury risk and the accuracy of injury prediction during a prospective 6-month period based on the quality of movement patterns and level of flexibility among average physically active young adults. MATERIAL AND METHODS: A group of 123 young, physically active adults were recruited for this study. The International Physical Activity Questionnaire (IPAQ) was used to determine their level of physical activity. The author’s own Injury History Questionnaire (IHQ) was used to retrospectively collect injury data from the 12 months before the study and prospectively collect data during the six month observation period. The Functional Movement Screen (FMS) test was conducted to assess the movement patterns quality and a sit-and-reach test was conducted to measure lower back and hamstrings flexibility. RESULTS: Low-quaility movement patterns (14≥ FMS) increased the injury risk level sevenfold. A level of flexibility reduced by one cm increased the risk of injury by 6%. Previous injuries also increased the risk of injury reccurence 6.4 times. Predicting injury occurrence based on the quality of movement patterns allows for an accuracy of 73%, whereas flexibility allows for a 41% accuracy. The simultaneous use of these two factors did not improve injury prediction accuracy. CONCLUSION: The risk of an injury increases with low-quality movement patterns, a low level of flexibility, and previous injuries. Preventative strategies should include shaping high-quality movement patterns, the right level of flexibility, and the full healing of injuries before resuming activities. The quality of movement patterns is an accurate predictor of injury risk, but lower back and hamstrings flexibility is not a reliable predictor of injury.
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spelling pubmed-81392772021-05-26 Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults Koźlenia, Dawid Domaradzki, Jarosław PeerJ Kinesiology BACKGROUND: Physical activity has many health benefits but also carries a risk of injury. Some universal factors are connected with an increased risk regardless of the type of sport. Identifying these factors may help predict injuries and aid in their prevention. AIM: The aim of this study is to determine the level of injury risk and the accuracy of injury prediction during a prospective 6-month period based on the quality of movement patterns and level of flexibility among average physically active young adults. MATERIAL AND METHODS: A group of 123 young, physically active adults were recruited for this study. The International Physical Activity Questionnaire (IPAQ) was used to determine their level of physical activity. The author’s own Injury History Questionnaire (IHQ) was used to retrospectively collect injury data from the 12 months before the study and prospectively collect data during the six month observation period. The Functional Movement Screen (FMS) test was conducted to assess the movement patterns quality and a sit-and-reach test was conducted to measure lower back and hamstrings flexibility. RESULTS: Low-quaility movement patterns (14≥ FMS) increased the injury risk level sevenfold. A level of flexibility reduced by one cm increased the risk of injury by 6%. Previous injuries also increased the risk of injury reccurence 6.4 times. Predicting injury occurrence based on the quality of movement patterns allows for an accuracy of 73%, whereas flexibility allows for a 41% accuracy. The simultaneous use of these two factors did not improve injury prediction accuracy. CONCLUSION: The risk of an injury increases with low-quality movement patterns, a low level of flexibility, and previous injuries. Preventative strategies should include shaping high-quality movement patterns, the right level of flexibility, and the full healing of injuries before resuming activities. The quality of movement patterns is an accurate predictor of injury risk, but lower back and hamstrings flexibility is not a reliable predictor of injury. PeerJ Inc. 2021-05-18 /pmc/articles/PMC8139277/ /pubmed/34046260 http://dx.doi.org/10.7717/peerj.11399 Text en ©2021 Koźlenia and Domaradzki https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Kinesiology
Koźlenia, Dawid
Domaradzki, Jarosław
Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title_full Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title_fullStr Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title_full_unstemmed Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title_short Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
title_sort prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults
topic Kinesiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139277/
https://www.ncbi.nlm.nih.gov/pubmed/34046260
http://dx.doi.org/10.7717/peerj.11399
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