Wearing WHOOP More Frequently Is Associated with Better Biometrics and Healthier Sleep and Activity Patterns

Area of Science:

• Biomedical Engineering
• Health Informatics
• Human Physiology

Background:

• Wearable devices are widely adopted for health monitoring.
• The impact of consistent wearable device usage on physiological and behavioral health is not well understood.
• Longitudinal data analysis is crucial for understanding long-term effects of wearable technology.

Purpose of the Study:

• To investigate the association between wearable device wear frequency and changes in biometric, sleep, and activity profiles.
• To model both between-person and within-person effects of wearable device usage.
• To explore the mediating role of sleep and physical activity on physiological outcomes.

Main Methods:

• Analysis of nearly one million days/nights of longitudinal data from 11,914 wearable device users.
• Statistical modeling to examine associations between wear frequency and 12-week changes in health metrics.
• Within-person multiple mediation and Granger causality analyses to determine relationships and temporal effects.

Main Results:

• Higher wearable wear frequency was associated with lower resting heart rate (RHR) and higher heart rate variability (HRV).
• Increased wear frequency correlated with longer, more consistent sleep and greater physical activity duration.
• Sleep duration partially mediated the relationship between wear frequency and RHR, while physical activity did not.

Conclusions:

• Sustained engagement with wearable devices may promote healthier habits and improve physiological outcomes.
• Real-world evidence supports the benefits of consistent wearable technology use for health management.
• Further research is warranted to fully elucidate the long-term impact of wearable device adherence.