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Cited by 76Physical Activity and HealthCardiovascular and exercise physiologySports Performance and Training

Predicting V˙O2max with an Objectively Measured Physical Activity in Japanese Women

CAO, ZHEN-BO, MIYATAKE, NOBUYUKI, HIGUCHI, MITSURU, MIYACHI, MOTOHIKO, ISHIKAWA-TAKATA, KAZUKO, TABATA, IZUMI·2010·Medicine & Science in Sports & Exercise
DOI 10.1249/mss.0b013e3181af238d
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Abstract

PURPOSE: To investigate the use of the accelerometer-determined physical activity (PA) intensity variables as the objective PA variables for estimating VO2max in Japanese adult women. METHODS: The subjects of this study were 148 Japanese women aged 20 to 69 yr. Maximal oxygen uptake (VO2max) 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 for 7 consecutive days. Using data of age, SC, MVPA, or VPA, and either body mass index (BMI) or waist circumference (WC), the nonexercise VO2max prediction models were derived as BMI models(MVPA), WC models(MVPA), BMI models(VPA), and WC models(VPA), and cross-validated by using two separate cross-validation procedures. RESULTS: SC, MVPA, and VPA were significantly related to VO2max (r = 0.43, r = 0.52, and r = 0.58, respectively). The multiple correlation coefficients for the BMI and WC models(MVAP) were 0.83 and 0.85, respectively, and for the BMI and WC models(VPA), they were 0.85 and 0.86, respectively. The SEE was 3.3 and 3.1 mL x kg(-1) x min(-1) for the BMI and WC models(MVPA), respectively, and it was 3.1 and 3.0 mL x kg(-1) x min(-1) for the BMI and WC models(VPA), respectively. All regression models demonstrated a high level of cross-validity supported by the minor shrinkage of the coefficient of determination and the increment of SEE in the predicted residual sum of squares procedure, and by small constant errors for the subgroups of age, SC, and VO2max between 25 and 35 mL x kg(-1) x min(-1). CONCLUSIONS: This study demonstrated that multiple regression models using data of MVPA or VPA were useful in predicting VO2max for Japanese adult women.

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  • Non-exercise models are usually traditional regression models and incorporate variables like sex, age, body mass index (BMI), RHR and self-reported physical activity to infer VO2max.

    “These are usually traditional regression models and incorporate variables like sex, age, body mass index (BMI), RHR and self-reported physical activity to infer VO2max [138].”

    From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [138]

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Authors
CAO, Z.-B., MIYATAKE, N., HIGUCHI, M., MIYACHI, M., ISHIKAWA-TAKATA, K., & TABATA, I.
Affiliations
  • National Institute of Health and Nutrition (JP)
  • Okayama Southern Institute of Health (JP)
  • Waseda University (JP)
ORCID
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2010-01
Volume
42
Issue
1
Pages
179-186
ISSN
0195-9131 (ISSN-L)
DOI
10.1249/mss.0b013e3181af238d
OpenAlex
W1978193451
Cited by
76
References
42
Citations by year
2026: 1 · 2025: 1 · 2024: 6 · 2023: 4 · 2022: 9 · 2021: 4 · 2020: 5 · 2019: 7 · 2018: 3 · 2017: 4 · 2016: 6 · 2015: 3 · 2014: 6 · 2013: 6 · 2012: 4
FWCI
2.44
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
VO2max prediction, VO2max, physical activity intensity, accelerometer-measured activity, moderate-to-vigorous physical activity, high-intensity exercise, step count, body mass index, waist circumference, Japanese women
MeSH terms
Acceleration, Adult, Aged, Exercise Test, Female, Humans, Japan, Middle Aged, Oxygen Consumption, Exercise, Body Mass Index, Linear Models

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