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Exploring the Relationship Between Heart Rate Variability (HRV), Training Load, and Endurance Performance

Exploring the Relationship Between Heart Rate Variability (HRV), Training Load, and Endurance Performance

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06964100
Enrollment
200
Registered
2025-05-09
Start date
2025-04-04
Completion date
2027-04-30
Last updated
2026-09-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Rate Variability

Keywords

heart rate variability, HRV, real world, activity tracker, app engagement, app functionality, remote

Brief summary

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.

Detailed description

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).

Interventions

None listed

Sponsors

PepsiCo Global R&D
Lead SponsorINDUSTRY

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

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. Age 18-65 years. Subject is willing to refrain from vigorous exercise (light physical activity only) 24 hours prior to timed 5K assessment. Subject is willing to avoid alcohol consumption 24 hours prior to 5K assessment. Subject is willing to provide consent. Subject is able to continuously wear their activity tracker, including during sleep, except when submerged underwater (i.e., swimming, bathing). Subjects must have compatible wearable device (Android, Apple Health, Dexcom, Fitbit, Garmin, Health Connect, Oura, Polar, Whoop, and Withings).

Exclusion criteria

Individual has a condition the Investigator believes would interfere with his ability to provide informed consent, comply with the project/study protocol, which might confound the interpretation of the project/study results or put the person at undue risk. Those with a medical history that would interfere with the results of this study. Those that have ≥1 risk factor for cardiovascular disease according to the American College of Sports Medicine. Age: Men ≥ 45 yrs; Women ≥ 55 yrs. Family History: Heart attack, "bypass surgery", or sudden death before the age of 55 yrs for father/brother, or before 65 yrs for mother/sister. Cigarette Smoking: Current smoker, or have quit \< 6 months, or exposed to environmental smoke. Sedentary lifestyle: Not participating in moderate (sweating) physical activity at least 3 days/week for 3-months. Obesity: Body mass index ≥ 30 kg/m2 or waist girth 102 cm (40 inches) for men and 88 cm (35 inches) for women. Hypertension: Systolic Blood Pressure ≥ 140 mmHg and/or Diastolic ≥90 mmHg, or taking medication. Dyslipidemia: LDL ≥130 mg/dl, or HDL \< 40 mg/dl, or taking medication. Or triglycerides (TG) \> 200 \> mg/dl. Pre-diabetes: Impaired fasting glucose (IFG) ≥ 100 mg/dl or oral glucose tolerance test (OGTT) ≥ 140 or ≤ 199 mg/dl confirmed by two different measurements. Under the care of a physician. Sleep disorders. Using prescription medications that would impact sleep. If female, you are not pregnant, planning to get pregnant or currently breast feeding. Not able to wear activity tracker continuously. Lack of proficiency in English. Lack of proficiency or access to the internet and email address. Participation in another clinical trial within the past 30 days. Subject is employed by, or has a parent, guardian, or other immediate family member employed by a company that manufactures any products that compete with any Gatorade product. If subject is unsure if a company would be considered a competitor to Gatorade, they will be asked to please let the study investigator know the name of the other company and the nature of their relationship to that company before they sign the informed consent.

Design outcomes

Primary

MeasureTime frameDescription
User engagement with Gatorade Sports Science Institute (GSSI) Labs appFrom activating app through study Week 8Percent (%) who complete enrollment, informed consent form (ICF), demographics, sync biometrics, complete journal entries, 5 kilometer (5K) performance assessment, and complete study

Secondary

MeasureTime frameDescription
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Heart rate variability (HRV)Week 1 baseline, Week 4 and Week 8Fluctuation 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)Week 1 baseline, Week 4 and Week 8Heart rate at rest in beats per minute (bpm)
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep QuantityWeek 1 baseline, Week 4 and Week 8Sleep at night in minutes
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep EfficiencyWeek 1 baseline, Week 4 and Week 8Percentage (%) of time spent asleep while in bed, calculated by dividing total sleep time by time in bed in hours
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Sleep ConsistencyWeek 1 baseline, Week 4 and Week 8Percent (%) of consistency in sleep-wake schedule
Pre-, Mid-, and Post-5K run times and wearable activity tracker biometrics: Training Zones Percent (%) maximum heart rate (HRmax) in minutesWeek 1 baseline, Week 4 and Week 8Heart 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)

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORCorey Ungaro, do not contact to enroll, PhD

PepsiCo R&D Life Sciences, Sports Science

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 18, 2026