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.
Heart rate variability (HRV) is an indirect biomarker of an individual's performance readiness and recovery. HRV is a ubiquitous biomarker measured by most consumer-grade wearable fitness trackers. However, there is little documented on the relationship between HRV, training load, and performance measures in the Real-World. Using activity trackers to monitor multiple physiological and subjective measures of health and wellness, subjects will perform self-administered 5 kilometer (5K) timed runs on Week 1, Week 4, and Week 8. Users will be instructed to run their 5K (3.1 miles) on the same outdoor course, indoor track, or treadmill to provide consistency in their performance assessments, with the understanding that there will be some limitations in creating a consistent performance assessment environment (i.e.; weather).
Study Type
OBSERVATIONAL
Enrollment
200
Remote study, no physical site. Managed by Gatorade Sports Science Institute. Do not contact investigators to enroll. Recruitment is handled by an independent agency.
Chicago, Illinois, United States
RECRUITINGUser 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
Time frame: From activating app through study Week 8
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)
Time frame: Week 1 baseline, Week 4 and Week 8
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)
Time frame: Week 1 baseline, Week 4 and Week 8
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep Quantity
Sleep at night in minutes
Time frame: Week 1 baseline, Week 4 and Week 8
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
Time frame: Week 1 baseline, Week 4 and Week 8
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep Consistency
Percent (%) of consistency in sleep-wake schedule
Time frame: Week 1 baseline, Week 4 and Week 8
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Training Zones Percent (%) maximum heart rate (HRmax) in minutes
Heart rate training zones from Zone 1 (Very Light/Recovery): 50-60 percent (%) of maximum heart rate (HR) to Zone 5 (Very Hard/Maximum): 90-100% of max HR, in minutes (min)
Time frame: Week 1 baseline, Week 4 and Week 8
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