Back to results

Eastern Michigan University

Predictability of VO2max from three commercially available devices

Abstract

dc:description.abstract

<p>The Polar V800TM, A300TM, and Garmin Forerunner 235TM predict VO2max from a submaximal effort. Purpose: To examine the predictability of VO2max from two heart rate monitors (Device A and V) and a global positioning system (GPS) watch compared to measured VO2max. Methods: Forty participants, 22 males and 18 females ages 18 to 55, came to the Running Science Laboratory at Eastern Michigan University. During visit 1, participants completed a maximal graded exercise test (GXT) to determine VO2max. At visit 2, each device’s protocol was followed to estimate VO2max. Pearson correlations, repeated measures ANOVA, and a paired samples t-test were utilized to compare estimated VO2max values from the devices to measured VO2max from the GXT (p < 0.05). Results: Ten participants were excluded. The GPS watch revealed a RMANOVA p-value < .001 for participants with > 50 ml/kg/min VO2max. Conclusion: Even though there were moderate to strong relationships, all three watches underestimated VO2max compared to measured VO2max.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Open Access Thesis
Discipline thesis:degree_discipline
Health Promotion and Human Performance
Year dc:date.available
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McCormick, Luke Daniel
Contributors dc:contributor
  • Christopher W. Herman, Ph.D.
  • Jeff W. Schulz, Ph.D.
  • Shel Levine, M.S.

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.emich.edu/theses/1124
OAI identifier oai:identifier
oai:commons.emich.edu:theses-2521

Chain of custody

source
Harvested from
Eastern Michigan University
Base URL
commons.emich.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

McCormick, Luke Daniel. Predictability of VO2max from three commercially available devices. Open Access Thesis thesis, 2021. https://commons.emich.edu/theses/1124