Literature DB >> 15595304

A new nonexercise-based VO2(max) equation for aerobically trained females.

Moh H Malek1, Terry J Housh, Dale E Berger, Jared W Coburn, Travis W Beck.   

Abstract

PURPOSE: The purposes of the present study were to (a) modify previously published VO2(max) equations using the constant error (CE) values for aerobically trained females, (b) cross-validate the modified equations to determine their accuracy for estimating VO2(max) in aerobically trained females, (c) derive a new nonexercise-based equation for estimating VO2(max) in aerobically trained females if the modified equations are found to be inaccurate, and (d) cross-validate the new VO2(max) equation using the PRESS statistic and an independent sample of aerobically trained females.
METHODS: A total of 115 aerobically trained females (mean +/- SD: age = 38.5 +/- 9.4 yr) performed a maximal incremental test on a cycle ergometer to determine actual VO2(max). The predicted VO2(max) values from nine published equations were compared with actual VO2(max) by examining the CE, standard error of estimate (SEE), validity coefficient (r), and total error (TE).
RESULTS: Cross-validation of the modified nonexercise-based equations on a random subsample of 50 subjects resulted in a %TE > or = 13% of the mean of actual VO2(max). Therefore, the following nonexercise-based VO2(max) equation was derived on a random subsample of 80 subjects: VO2(max) (mL x min(-1)) = 18.528 (weight in kg) + 11.993 (height in cm) - 17.197(age in yr) + 23.522 (h x wk(-1) of training) + 62.118 (intensity of training using the Borg 6-20) + 278.262 (natural log of years of training) - 1375.878 (R = 0.83, R2 adjusted = 0.67, and SEE = 259 mL x min(-1)). Cross-validation of this equation on the remaining sample of 35 subjects resulted in a %TE of 10%.
CONCLUSIONS: The nonexercise equation presented here is recommended over previously published equations for estimating VO2(max) in aerobically trained females.

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Year:  2004        PMID: 15595304     DOI: 10.1249/01.mss.0000142299.42797.83

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  10 in total

1.  Development of nonexercise prediction models of maximal oxygen uptake in healthy Japanese young men.

Authors:  Kiyoshi Sanada; Taishi Midorikawa; Tomohiro Yasuda; Charles F Kearns; Takashi Abe
Journal:  Eur J Appl Physiol       Date:  2006-11-07       Impact factor: 3.078

2.  On the inappropriateness of stepwise regression analysis for model building and testing.

Authors:  Moh H Malek; Dale E Berger; Jared W Coburn
Journal:  Eur J Appl Physiol       Date:  2007-05-23       Impact factor: 3.078

3.  Prediction of VO2max with daily step counts for Japanese adult women.

Authors:  Zhen-Bo Cao; Nobuyuki Miyatake; Mitsuru Higuchi; Kazuko Ishikawa-Takata; Motohiko Miyachi; Izumi Tabata
Journal:  Eur J Appl Physiol       Date:  2008-11-05       Impact factor: 3.078

4.  Predicting VO(2max) with an objectively measured physical activity in Japanese men.

Authors:  Zhen-Bo Cao; Nobuyuki Miyatake; Mitsuru Higuchi; Motohiko Miyachi; Izumi Tabata
Journal:  Eur J Appl Physiol       Date:  2010-02-10       Impact factor: 3.078

5.  Non-exercise estimation of VO(2)max using the International Physical Activity Questionnaire.

Authors:  Susan M Schembre; Deborah A Riebe
Journal:  Meas Phys Educ Exerc Sci       Date:  2011-01-01

6.  Obesity does not impair walking economy across a range of speeds and grades.

Authors:  Raymond C Browning; Michelle M Reynolds; Wayne J Board; Kellie A Walters; Raoul F Reiser
Journal:  J Appl Physiol (1985)       Date:  2013-02-14

7.  Estimation of maximal oxygen uptake by bioelectrical impedance analysis.

Authors:  Alexander Stahn; Elmarie Terblanche; Sven Grunert; Günther Strobel
Journal:  Eur J Appl Physiol       Date:  2005-11-01       Impact factor: 3.078

8.  Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study.

Authors:  Soon Bin Kwon; Joong Woo Ahn; Seung Min Lee; Joonnyong Lee; Dongheon Lee; Jeeyoung Hong; Hee Chan Kim; Hyung-Jin Yoon
Journal:  JMIR Mhealth Uhealth       Date:  2019-06-13       Impact factor: 4.773

9.  Workers' physical activity data contribute to estimating maximal oxygen consumption: a questionnaire study to concurrently assess workers' sedentary behavior and cardiorespiratory fitness.

Authors:  Tomoaki Matsuo; Rina So; Masaya Takahashi
Journal:  BMC Public Health       Date:  2020-01-08       Impact factor: 3.295

Review 10.  Strategies for cardiopulmonary exercise testing of pectus excavatum patients.

Authors:  Moh H Malek; Jared W Coburn
Journal:  Clinics (Sao Paulo)       Date:  2008-04       Impact factor: 2.365

  10 in total

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