Accuracy of predicted energy expenditure from a Fitbit Inspire HR activity monitor during short- and long-duration exercise

Author

Cailyn Van Camp

Date Approved

2020

Degree Type

Open Access Thesis

Degree Name

Master of Science (MS)

Department or School

Health Promotion and Human Performance

Committee Member

Rebecca Moore, Ph.D.

Committee Member

Catherine Gammon, Ph.D.

Committee Member

Anthony Moreno, Ph.D.

Abstract

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_2max treadmill test, a running speed at approximately 70 - 75% of that VO_2max 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 (p < 0.05). RESULTS: N = 25 (60% male). A significant correlation was found between predicted EE and measured EE for both short and long duration (p < 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.

Recommended Citation

Van Camp, Cailyn, "Accuracy of predicted energy expenditure from a Fitbit Inspire HR activity monitor during short- and long-duration exercise" (2020). Master's Theses and Doctoral Dissertations. 1027.
https://commons.emich.edu/theses/1027