Prediction of peak oxyen consumption based on 6-minute walk test in Chinese population

Xavier CC Fung, Timothy KH Fung, Benson WM Lau, Shirley Ngai
Purpose:

This study sought to establish regression equations to estimate peak oxygen uptake (VO2 peak) during cycle ergometer CPET, specifically for the Hong Kong Chinese population.

Methods:

A total of 391 participants were recruited for the study. All participants perform a screening process to exclude known diseases such as heart failure, pulmonary disease, osteoarthritis, or other metabolic problems. Each participant completed a 6-Minute Walk Test (6MWT), and they were encouraged to walk comfortably. During the test, the heart rate was monitored. Following the 30-minute recovery, each participant performed a submaximal Cardiopulmonary Exercise Test (CPET) using a cycle ergometer to measure peak oxygen consumption (VO2 peak). Multiple regression analysis was conducted to evaluate the predictive validity for VO2 max based on the 6MWT data. Independent variables included age, gender, body mass index (BMI), percentage of the predicted maximum heart rate (%predHRmax) at the sixth minute, and 6-minute walking distance (6MWD). VO2 peak obtained from the CPET was the dependent variable. 

Results:

Participants aged from 10-77 (male = 158, female = 233). The mean 6MWD was 601.55 ± 77.38 meters. Results from multiple regression suggested that age, gender, BMI, 6MWD, and %predHRmax were all associated with the VO2 peak (p-values ranged from 0.005 to 0.001). These variables together explained 44.4% of the variance in VO2 peak. The derived equation is VO2 peak = 21.50 + [2.73 × Gender (1 = male, 0 = female)] – [0.096 × Age] – [0.43 × BMI] + [0.037 × 6MWD] – [0.085 × %predHRmax].Participants were aged from 10-77 (male = 158, female = 233). The mean 6MWD was 601.55 ± 77.38 meters. Results from multiple regression suggested that age, gender, BMI, 6MWD, and %predHRmax were all associated with the VO2 peak (p-values ranged from 0.005 to 0.001). These variables together explained 44.4% of the variance in VO2 peak. The derived equation is VO2 peak = 21.50 + [2.73 × Gender (1 = male, 0 = female)] – [0.096 × Age] – [0.43 × BMI] + [0.037 × 6MWD] – [0.085 × %predHRmax].

Conclusion(s):

This study provided an equation to predict VO2 peak for the healthy Hong Kong Chinese population.

Implications:

The regression equations found in this study will be helpful for physiotherapy practice where expensive equipment for measuing VO2 are not available. 

Funding acknowledgements:
This project is partly supported by Health and Medical Research Fund (COVID 1903007) and the Hong Kong Polytechnic University (ZVYT)
Keywords:
oxygen consumption
6MWT
prediction equation
Primary topic:
Cardiorespiratory
Second topic:
Community based rehabilitation
Did this work require ethics approval?:
Yes
Name the institution and ethics committee that approved your work:
Human Subjects Ethics Application Review System (HSEARS) of The Hong Kong Polytechnic University
Provide the ethics approval number:
HSEARS20210906006
Has any of this material been/due to be published or presented at another national or international conference prior to the World Physiotherapy Congress 2025?:
No

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