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A Comment on González et al: Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.
- Source :
- International Journal of Sports Physiology & Performance; Nov2024, Vol. 19 Issue 11, p1176-1177, 2p
- Publication Year :
- 2024
-
Abstract
- The article discusses a study by J. R. González and colleagues which examined the predictive value of Global-Positioning-System and multiomics data for noncontract injury occurrence in 24 female football players. Topics include finding on prognostic models developed with inadequate sample size and result of design analyses of any effect observed for the rate alleles of the target polymorphisms.
- Subjects :
- SPORTS injury prevention
PREDICTIVE tests
STATISTICAL models
WOMEN athletes
SOCCER
PREDICTION models
ELITE athletes
MULTIOMICS
PARAMETERS (Statistics)
SAMPLE size (Statistics)
GLOBAL Positioning System
MATHEMATICAL statistics
EXPERIMENTAL design
GENETIC polymorphisms
GENE expression
CONCEPTUAL structures
PSYCHOSOCIAL factors
SOCCER injuries
GENOTYPES
ALLELES
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 15550265
- Volume :
- 19
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- International Journal of Sports Physiology & Performance
- Publication Type :
- Academic Journal
- Accession number :
- 180348036
- Full Text :
- https://doi.org/10.1123/ijspp.2024-0246