Prediction Model for Health-Related Fitness Status Using Discriminant Analysis

Abstract

Physical fitness represents the well-being of an individual and figures in measuring individual daily activities. This research aims to differentiate the physiological variables in distinguishing man fitness status without physical tests. The subjects of the examination amounted to 60 men aged 17-23 years old. The physiological parameters were age, weight, height, resting heart rate, blood glucose level, blood pressure, and VO2max, a bio-motoric component, measured by cooper protocol, running for 2.4 km. Subsequently, seven physiological and bio-motoric segments were analyzed using discriminant analysis. The result showed that resting heart rate and weight are strongly correlated with individual fitness. Discriminant analysis applying a stepwise method demonstrated that resting heart rate and weight were included in the fitness component formula. Furthermore, discriminant analysis results prove that 59.57 (98.3%) discriminant formulas can distinguish male fitness status. Fitness is an essential indicator in monitoring health. Concerning this, it is imperative to increase public awareness to regularly monitor their health status by assessing fitness status without having to do a physical test.

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