title: Anthropometry as a predictor of high speed performance.
abstract: To assess anthropometry as a predictor of high-speed performance, subjects performed four seated knee- and hip-extension workouts with their left leg on an inertial exercise trainer (Impulse Technologies, Newnan GA). Workouts, done exclusively in either the tonic or phasic contractile mode, entailed two one-minute sets separated by a 90-second rest period and yielded three performance variables: peak force, average force and work. Subjects provided the following anthropometric data: height, weight, body mass index, as well as total, upper and lower left leg lengths. Via multiple regression, anthropometry attempted to predict the variance per performance variable. Anthropometry explained a modest (R2=0.27-0.43) yet significant degree of variance from inertial exercise trainer workouts. Anthropometry was a better predictor of peak force variance from phasic workouts, while it accounted for a significant degree of average force and work variance solely from tonic workouts. Future research should identify variables that account for the unexplained variance from high-speed exercise performance.
authors.affiliation: Department of Exercise & Sport Sciences Program, University of Tulsa, 600 S. College Avenue, Tulsa, OK 74104, United States. john-caruso@utulsa.edu
authors.forename: J F
authors.initials: JF
authors.lastname: Caruso
authors.forename: E
authors.initials: E
authors.lastname: Ramey
authors.forename: L P
authors.initials: LP
authors.lastname: Hastings
authors.forename: J K
authors.initials: JK
authors.lastname: Monda
authors.forename: M A
authors.initials: MA
authors.lastname: Coday
authors.forename: J
authors.initials: J
authors.lastname: McLagan
authors.forename: J
authors.initials: J
authors.lastname: Drummond
mesh_terms: D000886:Anthropometry / Q000379:methods*; D054874:Athletic Performance / Q000502:physiology*; D001827:Body Height / Q000502:physiology; D015992:Body Mass Index; D001835:Body Weight / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D055070:Resistance Training