Eastern Michigan University
Accuracy of predicted energy expenditure from a Fitbit Inspire HR activity monitor during short- and long-duration exercise
Abstract
dc:description.abstract<p>PURPOSE: To determine the accuracy of predicted Energy Expenditure (EE) reported by a wrist-worn activity monitor compared to measured EE during both a long- and short-duration exercise. METHODS: In addition to a VO<sub>2max</sub> treadmill test, a running speed at approximately 70 - 75% of that VO<sub>2max</sub> was found during the first visit. The second and third visit was comprised of either a 30-minute or 10-minute run at the speed previously determined. A wrist activity monitor was worn and VO2 and EE were recorded by a metabolic cart. Pearson correlation, paired samples t-test, and repeated measures ANOVAs compared predicted and measured EE. An independent samples t-test determined significant differences in characteristics between fitness groups (<em>p</em> < 0.05). RESULTS:<em> N = 25 (60% male)</em>. A significant correlation was found between predicted EE and measured EE for both short and long duration (<em>p</em> < 0.001). The repeated measures ANOVA determined the interactive effect of measurement mode and fitness level was significant. CONCLUSIONS: Overall, there is a strong correlation between criterion and predictive measurement, however, consumers should exercise caution when using predicted measures.</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
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Van Camp, Cailyn
- Contributors dc:contributor
-
- Rebecca Moore, Ph.D.
- Catherine Gammon, Ph.D.
- Anthony Moreno, Ph.D.
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://commons.emich.edu/theses/1027
- OAI identifier oai:identifier
- oai:commons.emich.edu:theses-2421