The ability of smart phones, aided by wearable devices (e.g. smart watches), to collect a variety of data, including physical activity, heart rate, and other exercise metrics, may provide a unique opportunity to understand real-world variability. The primary objective of this study is to test user engagement, app functionality, and feasibility of the newly developed Gatorade Sports Science Institute (GSSI) Labs App to conduct Real-World research studies. The secondary purpose of this study is to determine if Training Intensity (%Heart Rate maximum) in minutes during low heart rate variability (HRV) periods (below HRV baseline consecutive days) will have a negative relationship with post-study 5K (5 kilometer) running times as measured by their activity tracker, which could lead to personalized training recommendations using HRV. This study is conducted remotely, there are no in-person visits.
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Healthy volunteers ages 8-65, actively participating in cardiovascular training (3-5 days/week), able to run a 5K (3.1 miles) distance at a self-selected location, three times over 8 weeks, wear an activity tracker and willing to use the study smartphone app.
Other
Prospective
Not listed
User engagement with Gatorade Sports Science Institute (GSSI) Labs app
Percent (%) who complete enrollment, informed consent form (ICF), demographics, sync biometrics, complete journal entries, 5 kilometer (5K) performance assessment, and complete study
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Heart rate variability (HRV)
Fluctuation in the amount of time between heartbeats in milliseconds (ms)
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Resting heart rate (RHR)
Heart rate at rest in beats per minute (bpm)
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep Quantity
Sleep at night in minutes
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep Efficiency
Percentage (%) of time spent asleep while in bed, calculated by dividing total sleep time by time in bed in hours
Estimated VO2 Max
Maximal oxygen consumption (VO2 max) = 15.3 x (HRmax/HRrest)
Demographics
Age, Gender, Race
Activity details
Journal entries (Felt nervous or anxious, Have any alcoholic drinks, Have caffeine, Feel emotionally and mentally stable, Feel energized, Hydrated sufficiently, Take melatonin, Feel motivated, Felt recovered, Feeling sick or ill, and Feel stress).
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