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The Korean Journal of Food & Health Convergence (KJFHC) / The Korean Journal of Food & Health Convergence (KJFHC), (E)2586-7342
2022, v.8 no.1, pp.21-30
https://doi.org/https://doi.org/10.13106/kjfhc.2022.vol8.no1.21.
KWON, Young-Ae
LEE, Wan-Young
KIM, Jun-Su
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Abstract

This study proposed a multiple regression equation for predicting VO2max of elderly men and women using functional performance variables required to conduct daily activities. The subjects of this study were 58 elderly men (72.4±5.9 yrs) and 117 elderly women (73.4±4.5 yrs) aged 65-90 who belong to the senior welfare center. The maximal graded exercise test using a cycle ergometer and functional performance representing muscle strength, endurance, static and dynamic flexibility, mobility, and agility were measured. For statistical processing, multiple regression analysis was performed, and the statistical significance level was α = .05. As a result, the VO2max estimation formula for the elderly was 0.419 (standing up and sitting down a chair) + 0.199 (leg endurance against wall) + 5.383, and R2=0.406. In addition, the VO2max estimation formula for elderly women is - 0.737 (standing up from a supine position) - 0.144 (waking around two cones in a figure 8) - 0.135 (%body fat) + 0.042 (one leg balance with eyes open) + 29.395, R2=0.367 was calculated. The conclusion is that if the maximal graded exercise test is not available, it is considered that VO2max of the elderly can be predicted properly by using the estimation formula calculated based on the functional performance variable.

keywords
Elderly, VO2max, Functional Performance, Multiple Regression

The Korean Journal of Food & Health Convergence (KJFHC)