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Clin Sports Med. 2018 Jul;37(3):387-400. doi: 10.1016/j.csm.2018.03.007.

Fundamentals of Sports Analytics.

Author information

1
Datalys Center for Sports Injury Research and Prevention, Inc, 401 West Michigan Street, Suite 500, Indianapolis, IN 46202, USA. Electronic address: ewasserman@datalyscenter.org.
2
Department of Epidemiology, The University of North Carolina at Chapel Hill, Suite 500, Bank of America Building 7505, Chapel Hill, NC 27599, USA; Real-World Evidence, IQVIA, Research Triangle Park, 4820 Emperor Boulevard, Durham, NC 27703, USA.
3
Datalys Center for Sports Injury Research and Prevention, Inc, 401 West Michigan Street, Suite 500, Indianapolis, IN 46202, USA.
4
Department of Epidemiology, The University of North Carolina at Chapel Hill, Injury Prevention Research Center, Suite 500, Bank of America Building 7505, Chapel Hill, NC 27599, USA.

Abstract

Recently, the importance of statistics and analytics in sports has increased. This review describes measures of sports injury and fundamentals of sports injury research with a brief overview of some of the emerging measures of sports performance. We describe research study designs that can be used to identify risk factors for injury, injury surveillance programs, and common measures of injury risk and association. Finally, we describe measures of physical performance and training and considerations for using these measures. This review provides sports medicine clinicians with an understanding of current research measures and considerations for designing sports injury research studies.

KEYWORDS:

Analytics; Epidemiology; Injury occurrence; Sports performance; Study design

PMID:
29903381
DOI:
10.1016/j.csm.2018.03.007
[Indexed for MEDLINE]

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