title: Prediction of VO2max with daily step counts for Japanese adult women.
abstract: The purpose of the study was to develop a new non-exercise VO(2max) 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. VO(2max) was measured using a maximal incremental test on a bicycle ergometer. SC was significantly related to VO(2max) (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 VO(2max) 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 VO(2max) correlated well with measured VO(2max) (r = 0.81, P < 0.001), suggesting that SC is a useful PA variable for non-exercise prediction of VO(2max) in Japanese women.
authors.affiliation: Health Promotion and Exercise Program, National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku, Tokyo 162-8636, Japan. caozb@nih.go.jp
authors.forename: Zhen-Bo
authors.initials: ZB
authors.lastname: Cao
authors.forename: Nobuyuki
authors.initials: N
authors.lastname: Miyatake
authors.forename: Mitsuru
authors.initials: M
authors.lastname: Higuchi
authors.forename: Kazuko
authors.initials: K
authors.lastname: Ishikawa-Takata
authors.forename: Motohiko
authors.initials: M
authors.lastname: Miyachi
authors.forename: Izumi
authors.initials: I
authors.lastname: Tabata
mesh_terms: D000328:Adult; D000368:Aged; D044466:Asian People; D016552:Ergometry / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006801:Humans; D008875:Middle Aged; D008954:Models, Biological; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods; D010101:Oxygen Consumption / Q000502:physiology*; D005082:Physical Exertion / Q000502:physiology; D010809:Physical Fitness / Q000502:physiology*; D014159:Transducers / Q000706:statistics & numerical data