Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Ghena, Davida; *; ** | Mayhew, J.L.a; *** | Kurth, Amya; **** | Thompson, Clinton B.a; *****
Affiliations: [a] Northeast Missouri State University and Western Wisconsin Sports Medicine
Note: [*] Senior physical therapy student, University of Wisconsin-LaCrosse, LaCrosse, WI, and as an Athletic Trainer/Research Assistant, Western Wisconsin Sports Medicine, LaCrosse, WI.
Note: [**] Address reprint requests to David Ghena at Western Wisconsin Sports Medicine, Suite 001, La Crosse, WI 45601.
Note: [***] Associate Professor, Health and Exercise Science Department, Director, Human Performance Laboratory, Northeast Missouri State University, and Consultant, Department of Physiology, Kirksville College of Osteopathic Medicine, kirksville, MO.
Note: [****] Staff Physical Therapist/Athletic Trainer, Providence-St. Margaret Health Center, Kansas City, KS.
Note: [*****] Head Athletic Trainer/Associate Professor, Northeast Missouri State University, and Consultant Sports Medicine Clinic, Kirksville Osteopathic Medical Center, Kirksville, MO.
Abstract: The purpose of this study was to determine the accuracy of predicting isokinetic knee extension and flexion peak torques from anthropometric dimensions. Male college athletes (N = 105) were evaluated for concentric isokinetic knee extension and flexion torques at 60, 120, 300, and 450 deg/sec using a Biodex dynamometer. Anthropometric dimensions included height, body mass, lean body mass (LBM), percent fat, age, and other various measured and derived leg indices. Multiple regression analysis on a validity sample (n = 80) selected midthigh cross-sectional area (CSA), height, and LBM to predict knee extension torques at 60, 120, 300, and 450 deg/sec (R = .70–.80); at 300 deg/sec, body mass replaced LBM in the prediction equation (R = .79). Muscle (SA was the only variable common to all prediction equations to estimate knee flexion torque at all speeds, although the multiple correlations remained comparable (R = .55–.80). The prediction equations were cross-validated on a sample of 25 randomly selected subjects from the original group and produced correlation coefficients of r = .51–.76 for estimating concentric isokinetic knee torques. It was concluded that anthropometric dimensions can be used to estimate isokinetic leg strength levels in male collegiate athletes and provide additional information for the preparticipation physical screening. These findings may be useful in the prevention of athletic injuries to the lower extremities.
Keywords: Anthropometric measures, torque ratio, predictive equations
DOI: 10.3233/IES-1991-1403
Journal: Isokinetics and Exercise Science, vol. 1, no. 4, pp. 187-192, 1991
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]