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Date of Award
Spring 2025
Rights
Access perpetually restricted to EWU users with an active EWU NetID
Document Type
Thesis: EWU Only
Degree Name
Master of Science (MS) in Wellness and Movement Sciences
Department
Wellness and Movement Sciences
Abstract
Objective: To determine the effects of a wearable plus personalized biometric-based coaching on heart rate variability (HRV) and health-related quality of life (HRQoL). Participants: Student athletes on NCAA Division I Eastern Washington University football team. Methods: A mixed study design including randomization of participants into a wearable without coaching group (WO) and a wearable with coaching group (WC). HRV data were recorded via WHOOP® strap for 14 weeks. WC group received personalized coaching based on HRV data via smart phone application. Student athletes completed a HRQoL survey at start and end of study. Results: A significant effect of time was present for both HRV and HRQoL. A slightly larger increase was seen in both variables for the WC group; however, group means were not significantly different. Conclusions: Access to biometric data alone may imbue an increase in HRV and HRQoL. Such increases may be compounded by a reduction in both training and academic stressors during the summer term off-season.
Objective: To determine if sleep metrics and group assignment between wearable plus coaching (WC) and wearable without coaching (WO) are predictive of HRV in NCAA DI football players. Participants: Collegiate student athletes on NCAA Division I football team. Methods: Participants were randomized into WC and WO groups. HRV and restorative sleep stages were recorded via WHOOP® 4.0 strap for 14 weeks. The percentage of sleep duration dubbed restorative sleep (%RESTOR) was calculated. Linear forced entry regression analysis was performed to determine the association between %RESTOR, group assignment, and HRV. Results: %RESTOR and group assignment accounted for 59.3% of the variance seen in HRV. A significant, negative association between %RESTOR and HRV was present. Group assignment was not associated with HRV. Conclusions: Lower %RESTOR was indicative of higher HRV. Less time spent in restorative sleep may indicate less stress and less need for recovery.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Henson, Perla Millan, "Examining the effects of wearable technology and biometric coaching on heart rate variability, health related quality of life, and predictors of heart rate variability in collegiate athletes" (2025). EWU Masters Thesis Collection. 969.
https://dc.ewu.edu/theses/969