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Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study
BACKGROUND: The ability to determine athletic performance in varsity athletes using preseason measures has been established. The ability of pre-season performance measures and athlete’s exposure to predict the incidence of injuries is unclear. Thus our purpose was to determine the ability of pre-sea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439385/ https://www.ncbi.nlm.nih.gov/pubmed/22824555 http://dx.doi.org/10.1186/1758-2555-4-26 |
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author | Kennedy, Michael D Fischer, Robyn Fairbanks, Kristine Lefaivre, Lauren Vickery, Lauren Molzan, Janelle Parent, Eric |
author_facet | Kennedy, Michael D Fischer, Robyn Fairbanks, Kristine Lefaivre, Lauren Vickery, Lauren Molzan, Janelle Parent, Eric |
author_sort | Kennedy, Michael D |
collection | PubMed |
description | BACKGROUND: The ability to determine athletic performance in varsity athletes using preseason measures has been established. The ability of pre-season performance measures and athlete’s exposure to predict the incidence of injuries is unclear. Thus our purpose was to determine the ability of pre-season measures of athletic performance to predict time to injury in varsity athletes. METHODS: Male and female varsity athletes competing in basketball, volleyball and ice hockey participated in this study. The main outcome measures were injury prevalence, time to injury (based on calculated exposure) and pre-season fitness measures as predictors of time to injury. Fitness measures were Apley’s range of motion, push-up, curl-ups, vertical jump, modified Illinois agility, and sit-and-reach. Cox regression models were used to identify which baseline fitness measures were predictors of time to injury. RESULTS: Seventy-six percent of the athletes reported 1 or more injuries. Mean times to initial injury were significantly different for females and males (40.6% and 66.1% of the total season (p < 0.05), respectively). A significant univariate correlation was observed between push-up performance and time to injury (Pearson’s r = 0.332, p < 0.01). No preseason fitness measure impacted the hazard of injury. Regardless of sport, female athletes had significantly shorter time to injury than males (Hazard Ratio = 2.2, p < 0.01). Athletes playing volleyball had significantly shorter time to injury (Hazard Ratio = 4.2, p < 0.01) compared to those playing hockey or basketball. CONCLUSIONS: When accounting for exposure, gender, sport and fitness measures, prediction of time to injury was influenced most heavily by gender and sport. |
format | Online Article Text |
id | pubmed-3439385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34393852012-09-12 Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study Kennedy, Michael D Fischer, Robyn Fairbanks, Kristine Lefaivre, Lauren Vickery, Lauren Molzan, Janelle Parent, Eric Sports Med Arthrosc Rehabil Ther Technol Research BACKGROUND: The ability to determine athletic performance in varsity athletes using preseason measures has been established. The ability of pre-season performance measures and athlete’s exposure to predict the incidence of injuries is unclear. Thus our purpose was to determine the ability of pre-season measures of athletic performance to predict time to injury in varsity athletes. METHODS: Male and female varsity athletes competing in basketball, volleyball and ice hockey participated in this study. The main outcome measures were injury prevalence, time to injury (based on calculated exposure) and pre-season fitness measures as predictors of time to injury. Fitness measures were Apley’s range of motion, push-up, curl-ups, vertical jump, modified Illinois agility, and sit-and-reach. Cox regression models were used to identify which baseline fitness measures were predictors of time to injury. RESULTS: Seventy-six percent of the athletes reported 1 or more injuries. Mean times to initial injury were significantly different for females and males (40.6% and 66.1% of the total season (p < 0.05), respectively). A significant univariate correlation was observed between push-up performance and time to injury (Pearson’s r = 0.332, p < 0.01). No preseason fitness measure impacted the hazard of injury. Regardless of sport, female athletes had significantly shorter time to injury than males (Hazard Ratio = 2.2, p < 0.01). Athletes playing volleyball had significantly shorter time to injury (Hazard Ratio = 4.2, p < 0.01) compared to those playing hockey or basketball. CONCLUSIONS: When accounting for exposure, gender, sport and fitness measures, prediction of time to injury was influenced most heavily by gender and sport. BioMed Central 2012-07-23 /pmc/articles/PMC3439385/ /pubmed/22824555 http://dx.doi.org/10.1186/1758-2555-4-26 Text en Copyright ©2012 Kennedy et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Kennedy, Michael D Fischer, Robyn Fairbanks, Kristine Lefaivre, Lauren Vickery, Lauren Molzan, Janelle Parent, Eric Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title | Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title_full | Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title_fullStr | Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title_full_unstemmed | Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title_short | Can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
title_sort | can pre-season fitness measures predict time to injury in varsity athletes?: a retrospective case control study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439385/ https://www.ncbi.nlm.nih.gov/pubmed/22824555 http://dx.doi.org/10.1186/1758-2555-4-26 |
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