운동과학 (Aug 2023)

Validation of 6-Minute Walk Test and Development of VO Prediction Equation in the Elderly

  • Soyoung Park,
  • Seungho Ryu,
  • On Lee

DOI
https://doi.org/10.15857/ksep.2023.00360
Journal volume & issue
Vol. 32, no. 3
pp. 331 – 338

Abstract

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PURPOSE Cardiorespiratory fitness is closely related to cardiovascular and chronic diseases and is an important predictor of mortality. Despite the significance of cardiorespiratory fitness, currently, a lack of research exists that validates the effectiveness of the 6-minute walk test, specifically in the Korean population. Therefore, the purpose of this study was to verify the validity of the 6-minute walk test for Korean older individuals and to develop a maximum oxygen consumption (VO2max) prediction equation. METHODS A total of 167 participants were included in the final analysis, after excluding 33 of the 200 participants. Moreover, VO2max was measured by performing a submaximal exercise test on a treadmill, and the total distance and heart rate were measured using a 6-minute walk test. Pearson's correlation coefficient was calculated to verify the criterion validity between VO2max and total distance in the 6-minute walk test. To develop a VO2max prediction equation, multiple regression analysis was conducted and cross-validation of the developed prediction equation was confirmed. RESULTS The correlation coefficient between VO2max and the 6-minute walk test was 0.575 (p<.001). The adjusted R2 of the VO2max prediction equation using the 6-minute walk test was 0.449 (p<.001). The difference between the predicted VO2max and measured VO2max was 1.184±1.331 mL/kg/min, and the correlation coefficient was 0.594 (p<.001). CONCLUSION The developed prediction equation consisted of explanatory variables that can be measured easily and were practical in the field. As entry into a post-aged society is imminent, managing older adult's physical fitness has become a significant issue. In the future, if the validity verification is performed with a large number of people, the prediction formula developed in this study will be useful.

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