European Journal of Applied Physiology

, Volume 105, Issue 2, pp 289–296 | Cite as

Prediction of VO2max with daily step counts for Japanese adult women

  • Zhen-Bo CaoEmail author
  • Nobuyuki Miyatake
  • Mitsuru Higuchi
  • Kazuko Ishikawa-Takata
  • Motohiko Miyachi
  • Izumi Tabata
Original Article


The purpose of the study was to develop a new non-exercise VO2max prediction model using a physical activity (PA) variable determined by pedometer-determined step counts (SC, steps day−1) in Japanese women aged 20–69 years old. Eighty-seven and 102 subjects were used to develop the prediction model, and to validate the new model, respectively. VO2max was measured using a maximal incremental test on a bicycle ergometer. SC was significantly related to VO2max (partial correlation coefficient r = 0.40, P < 0.001) after adjusting for BMI (kg m−2) and age (years). When the new prediction equation developed by multiple regression to estimate VO2max from age, BMI, and SC (R = 0.71, SEE = 5.3 ml kg−1 min−1, P < 0.001) was applied to the Validation group, predicted VO2max correlated well with measured VO2max (r = 0.81, P < 0.001), suggesting that SC is a useful PA variable for non-exercise prediction of VO2max in Japanese women.


Cardiorespiratory fitness Maximal oxygen uptake Pedometer Prediction model Physical activity Female 



This research was supported by a Research Grant for Comprehensive Research on Cardiovascular and Life-Style Related Diseases from the Ministry of Health, Labour and Welfare, Japan (19160101).


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Zhen-Bo Cao
    • 1
    Email author
  • Nobuyuki Miyatake
    • 2
  • Mitsuru Higuchi
    • 3
  • Kazuko Ishikawa-Takata
    • 1
  • Motohiko Miyachi
    • 1
  • Izumi Tabata
    • 1
  1. 1.Health Promotion and Exercise ProgramNational Institute of Health and NutritionShinjukuJapan
  2. 2.Okayama Southern Institute of HealthOkayama Health FoundationOkayamaJapan
  3. 3.Faculty of Sport SciencesWaseda UniversityTokorozawaJapan

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