Open Access Thesis
Master of Science (MS)
Department or School
Health Promotion and Human Performance
Rebecca Moore, Ph.D.
Catherine Gammon, Ph.D.
Anthony Moreno, Ph.D.
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 VO2max treadmill test, a running speed at approximately 70 - 75% of that VO2max 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.
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.