Predicting V̇O2max with an objectively measured physical activity in Japanese men

Zhen Bo Cao*, Nobuyuki Miyatake, Mitsuru Higuchi, Motohiko Miyachi, Izumi Tabata

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The present study investigated the use of the accelerometer-determined physical activity (PA) variables as the objective PA variables for estimating V̇O2max in Japanese adult men. One hundred and twenty-seven Japanese adult men aged from 20 to 69 years were recruited as subjects of the present study. Maximal oxygen uptake (V̇O2max) was measured with a maximal incremental test on a bicycle ergometer. Daily step counts (SC) and the amount spent in moderate to vigorous PA (MVPA) and vigorous PA (VPA) were measured using accelerometer-based activity monitors worn at the waist for seven consecutive days. The non-exercise models were derived using hierarchical linear regression analysis, and cross-validated using two separate cross-validation procedures. SC, MVPA, and VPA were significantly related to V̇O2max (partial correlation coefficient r = 0.58, r = 0.42, and r = 0.51, respectively) after adjusting for age. Two models were developed by multiple regression to estimate V̇O2max using data of age, SC, VPA, and either BMI (the coefficient of determination (R2) = 0.71, standard error of estimate (SEE) = 4.2 ml kg-1 min-1), or waist circumference (R2 = 0.74, SEE = 3.9 ml kg-1 min -1). All regression models demonstrated a high level of cross-validity supported by the minor shrinkage of R2 and increment of SEE in the PRESS procedure, and by small constant errors for subgroups of age, SC, and V̇O2max: This study demonstrated that combining SC with VPA, but not with MVPA, was useful in predicting V̇O2max variance and improved the ability of the regression models to accurately predict V̇O2max.

Original languageEnglish
Pages (from-to)465-472
Number of pages8
JournalEuropean Journal of Applied Physiology
Volume109
Issue number3
DOIs
Publication statusPublished - 2010 Jun
Externally publishedYes

Keywords

  • Accelerometer
  • Cardiorespiratory fitness
  • Maximal oxygen uptake
  • Physical activity
  • Prediction models

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Orthopedics and Sports Medicine
  • Physiology (medical)

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