@article{jpar2017222,
author={{Burns, Ryan D. and Fu, You and Brusseau, Timothy A. and Constantino, Nora},
title={A Cluster Analysis and Validation of Health-Related Fitness Tests in College Students},
journal={Journal of Physical Activity Research},
volume={2},
number={2},
pages={73--79},
year={2017},
url={http://pubs.sciepub.com/jpar/2/2/2},
issn={2574-4437},
abstract={Because health-related fitness consists of several domains, understanding clustering of scores from a testing battery can help practitioners derive exercise programs. The purpose of this study was to explore the clustering of health-related fitness test scores in college students and to validate the solution against criterion measures. Participants were college students (Mean age = 19.2 &#177;0.6 years; N = 523; 342 females, 181 males) recruited from a university in the southwestern U.S. The health-related fitness assessments consisted of BMI, estimated VO<SUB>2 Peak </SUB>from the Astrand-Ryhming cycle ergometer test, and a standard push-up test. Criterion measures consisted of DXA-assessed percent body fat (%BF), measured VO<SUB>2 Peak</SUB> from a maximal treadmill test, and a 1-Repetition Maximum (1-RM) bench press score. A hierarchical cluster analysis was performed to derive groupings. One-way ANOVA tests were used to explore the differences among the derived cluster groups on each criterion measure. Six cluster groups were formed representing various fitness ˇ°phenotypesˇ± (Pseudo-F = 179.7). The cluster groups differed in %BF (F(5, 517) = 44.6, <i>p</i> &lt; 0.001, eta-squared = 0.31), measured VO<SUB>2</SUB> <SUB>Peak </SUB>(F(5, 517) = 49.7, <i>p</i> &lt; 0.001, eta-squared = 0.33), and 1-RM bench press scores (F(5, 517) = 17.0, <i>p</i> &lt; 0.001, eta-squared = 0.12), providing validation evidence. Six<b> </b>cluster groups were formed from a health-related fitness test battery in college students that were validated against criterion measures of health-related fitness. The cluster groups can be used to inform current fitness status and for derivation of exercise programs.},
doi={10.12691/jpar-2-2-2}
publisher={Science and Education Publishing}
}