Is the Polar M430 a Valid Tool for Estimating Maximal Oxygen Consumption in Adult Females?

Kevin E. Miller, Timothy R. Kempf, Brian C. Rider, Scott A. Conger

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Previous research studies have found that heart rate monitors that predict maximal oxygen consumption (˙VO2 max) are valid for males but overestimate ˙VO2 max in females. Inaccurate self-reported physical activity (PA) levels may affect the validity of the prediction algorithm used to predict ˙VO2 max. Purpose: To investigate the validity of the Polar M430 in predicting ˙VO2 max among females with varying PA levels. Methods: Polar M430 was used to predict ˙VO2 max (p ˙VO2 max) for 43 healthy female study participants (26.9 ± 1.3 years), under three conditions: the participant’s self-selected PA category (sPA), one PA category below the sPA (sPA − 1), and one category above the sPA (sPA + 1). Indirect calorimetry was utilized to measure ˙VO2 max (m ˙VO2 max) via a modified Astrand treadmill protocol. Repeated-measures analyses of covariance using age and percentage of body fat as covariates were used to detect differences between groups. Bland–Altman plots were used to assess the precision of the measurement. Results: p ˙VO2 max was significantly correlated with m ˙VO2 max (r =.695, p <.001). The mean values for p ˙VO2 max and m ˙VO2 max were 44.58 ± 9.29 and 43.98 ± 8.76, respectively. No significant differences were found between m ˙VO2 max, p ˙VO2 max, sPA – 1, and sPA + 1 (p =.492). However, the Bland–Altman plots indicated a low level of precision with the estimate. Conclusions: The Polar M430 was a valid method to predict ˙VO2 max across different sPA levels in females. Moreover, an under/overestimation in sPA had little effect on the predicted ˙VO2 max.

Original languageEnglish
Pages (from-to)220-226
Number of pages7
JournalJournal for the Measurement of Physical Behaviour
Volume4
Issue number3
DOIs
StatePublished - 1 Sep 2021

Keywords

  • cardiorespiratory fitness
  • heart rate monitor
  • nonexercise prediction
  • physical activity

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