論文

2016年2月

Prediction of Lateral Ankle Sprains in Football Players Based on Clinical Tests and Body Mass Index

AMERICAN JOURNAL OF SPORTS MEDICINE
  • Phillip A. Gribble
  • ,
  • Masafumi Terada
  • ,
  • Megan Q. Beard
  • ,
  • Kyle B. Kosik
  • ,
  • Adam S. Lepley
  • ,
  • Ryan S. McCann
  • ,
  • Brian G. Pietrosimone
  • ,
  • Abbey C. Thomas

44
2
開始ページ
460
終了ページ
467
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1177/0363546515614585
出版者・発行元
SAGE PUBLICATIONS INC

Background: The lateral ankle sprain (LAS) is the most common injury suffered in sports, especially in football. While suggested in some studies, a predictive role of clinical tests for LAS has not been established.
Purpose: To determine which clinical tests, focused on potentially modifiable factors of movement patterns and body mass index (BMI), could best demonstrate risk of LAS among high school and collegiate football players.
Study Design: Case-control study; Level of evidence, 3.
Methods: A total of 539 high school and collegiate football players were evaluated during the preseason with the Star Excursion Balance Test (SEBT) and Functional Movement Screen as well as BMI. Results were compared between players who did and did not suffer an LAS during the season. Logistic regression analyses and calculated odds ratios were used to determine which measures predicted risk of LAS.
Results: The LAS group performed worse on the SEBT-anterior reaching direction (SEBT-ANT) and had higher BMI as compared with the noninjured group (P < .001). The strongest prediction models corresponded with the SEBT-ANT.
Conclusion: Low performance on the SEBT-ANT predicted a risk of LAS in football players. BMI was also significantly higher in football players who sustained an LAS. Identifying clinical tools for successful LAS injury risk prediction will be a critical step toward the creation of effective prevention programs to reduce risk of sustaining an LAS during participation in football.

リンク情報
DOI
https://doi.org/10.1177/0363546515614585
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000369983300026&DestApp=WOS_CPL
ID情報
  • DOI : 10.1177/0363546515614585
  • ISSN : 0363-5465
  • eISSN : 1552-3365
  • Web of Science ID : WOS:000369983300026

エクスポート
BibTeX RIS