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Predictive Validity of a Functional Movement Screen in Professional Basketball Players
Background and objectives: Striking a balance between maximizing performance and preventing injury remains elusive in many professional sports. The purpose of this study was to assess the relative risk of non-contact injuries in professional basketball players based on predictive cut scores on the F...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767371/ https://www.ncbi.nlm.nih.gov/pubmed/33371366 http://dx.doi.org/10.3390/medicina56120724 |
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author | Hoover, Donald L. Killian, Clyde B. Tinius, Rachel A. Bellar, David M. Wilkinson, Steven G. Esslinger, Francis T. Judge, Lawrence W. |
author_facet | Hoover, Donald L. Killian, Clyde B. Tinius, Rachel A. Bellar, David M. Wilkinson, Steven G. Esslinger, Francis T. Judge, Lawrence W. |
author_sort | Hoover, Donald L. |
collection | PubMed |
description | Background and objectives: Striking a balance between maximizing performance and preventing injury remains elusive in many professional sports. The purpose of this study was to assess the relative risk of non-contact injuries in professional basketball players based on predictive cut scores on the Functional Movement Screen™ (FMS). Materials and Methods: Thirty-two professional basketball players from the National Basketball Association (NBA) and Women’s National Basketball Association (WNBA) participated in this study. This observational pilot cohort study assessed and scored each participant using the FMS during training camp. Each athlete was then tracked throughout the season while recording the number, type, and time lost due to injuries. Possible exposures, actual exposures, and exposures missed due to non-contact injury (NCI) for each athlete were calculated and then used to determine the crude and specific incident rates for exposures missed due to NCI per 1000 exposures. Results: Linear regression models were used to evaluate the predictive ability of the FMS score for total missed exposures, NCI, and CI missed exposures. In all models, the FMS total score failed to attain significance as a predictor (p > 0.05). FMS scores ranged from 5 to 18. The recommended cut score of 14 showed a sensitivity of 0.474 and a specificity of 0.750. The cut score of 15 showed the best combination, exhibiting a sensitivity of 0.579 and specificity of 0.625. A total of 5784 exposures to NCI were possible for the men and women combined, and 681 possible exposures were missed. Of these, 23.5% were due to NCI, 16.5% were due to contact injuries (CI), and 60% were due to illnesses and personal reasons. Conclusions: The FMS proved to be a measure that was not associated with any injury measure in this sample of professional basketball players, suggesting the instrument lacks predictive validity in this population. |
format | Online Article Text |
id | pubmed-7767371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77673712020-12-28 Predictive Validity of a Functional Movement Screen in Professional Basketball Players Hoover, Donald L. Killian, Clyde B. Tinius, Rachel A. Bellar, David M. Wilkinson, Steven G. Esslinger, Francis T. Judge, Lawrence W. Medicina (Kaunas) Article Background and objectives: Striking a balance between maximizing performance and preventing injury remains elusive in many professional sports. The purpose of this study was to assess the relative risk of non-contact injuries in professional basketball players based on predictive cut scores on the Functional Movement Screen™ (FMS). Materials and Methods: Thirty-two professional basketball players from the National Basketball Association (NBA) and Women’s National Basketball Association (WNBA) participated in this study. This observational pilot cohort study assessed and scored each participant using the FMS during training camp. Each athlete was then tracked throughout the season while recording the number, type, and time lost due to injuries. Possible exposures, actual exposures, and exposures missed due to non-contact injury (NCI) for each athlete were calculated and then used to determine the crude and specific incident rates for exposures missed due to NCI per 1000 exposures. Results: Linear regression models were used to evaluate the predictive ability of the FMS score for total missed exposures, NCI, and CI missed exposures. In all models, the FMS total score failed to attain significance as a predictor (p > 0.05). FMS scores ranged from 5 to 18. The recommended cut score of 14 showed a sensitivity of 0.474 and a specificity of 0.750. The cut score of 15 showed the best combination, exhibiting a sensitivity of 0.579 and specificity of 0.625. A total of 5784 exposures to NCI were possible for the men and women combined, and 681 possible exposures were missed. Of these, 23.5% were due to NCI, 16.5% were due to contact injuries (CI), and 60% were due to illnesses and personal reasons. Conclusions: The FMS proved to be a measure that was not associated with any injury measure in this sample of professional basketball players, suggesting the instrument lacks predictive validity in this population. MDPI 2020-12-21 /pmc/articles/PMC7767371/ /pubmed/33371366 http://dx.doi.org/10.3390/medicina56120724 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hoover, Donald L. Killian, Clyde B. Tinius, Rachel A. Bellar, David M. Wilkinson, Steven G. Esslinger, Francis T. Judge, Lawrence W. Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title | Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title_full | Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title_fullStr | Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title_full_unstemmed | Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title_short | Predictive Validity of a Functional Movement Screen in Professional Basketball Players |
title_sort | predictive validity of a functional movement screen in professional basketball players |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767371/ https://www.ncbi.nlm.nih.gov/pubmed/33371366 http://dx.doi.org/10.3390/medicina56120724 |
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