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  • 日本語
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  • User Guide

    • How to enable AFib
  • Key Metrics

    • What is "Body Energy"?
    • Recovery Score
    • Exertion Score
    • Learn More About Sleep
    • Energy Consumption
    • CLT、ATL and Training Load Ratio
  • Training Data Metrics

    • Cardio Performance & Cardio Fitness Guide
    • What is Heart Rate
    • Heart Rate Recovery
    • Post Workout HRV
    • Training Intensity
  • Vitals

    • What is HRV?
    • What is Resting Heart Rate?
    • What is Respiratory Rate?
    • What is Blood Oxygen Saturation (SpO2)?
    • What is Wrist Temperature?
  • Service Agreement

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What is Bio Age?

In traditional understanding, age is irreversible, and the older we get, the less healthy we become. Every 365 days, we age by one year, drawing closer to aging and death.

However, this is not entirely true. Two people of the same age may have vastly different health conditions. Someone with poor lifestyle habits may have high blood pressure and elevated blood sugar at 40, while someone who exercises regularly may maintain cardiovascular health at 50.

Chronological age only tells us "how long we've lived," but not whether we've lived healthily. To address this issue, scientists in longevity medicine invented Biological Age. Biological Age reflects the body's true state of aging—a "physiological clock" that may be greater or less than chronological age. If your biological age is less than your chronological age, it indicates better health and longevity.

PeakWatch's "Bio Age" is built on this scientific insight. PeakWatch combines your sleep, exercise, and fitness data to comprehensively calculate your Bio Age. It not only reflects "how long you've lived" but also tells you how healthy that life has been.

What is Pace of Aging?

Biological Age reflects your body's long-term functional state. If you want to know "How have I been doing these past 2 weeks?", you need to look at your Pace of Aging.

Different Pace of Aging values have different meanings:

  • <0: Accelerated rejuvenation
  • 0-0.8: Rejuvenating
  • 0.8-1.2: Normal range
  • 1.2-2: Aging
  • 2: Accelerated aging

What Indicators Does Bio Age Reference?

To calculate an accurate Bio Age, PeakWatch doesn't just look at one day's data. Instead, it comprehensively analyzes three core dimensions that affect human lifespan: Sleep, Sport, and Fitness.

  • Sleep: Sleep occupies 1/3 of our time and is crucial for bodily recovery.

    • Sleep Duration: Sleep duration is the foundation of sleep quality. Healthy adults are recommended to sleep 7-9 hours daily.
    • Sleep Regularity: Regular wake and sleep times maintain the body's normal physiological rhythms and aid recovery.
  • Sport: Exercise helps the body metabolize and maintain health.

    • Aerobic Duration (Z1-Z3 zones): Regular aerobic exercise strengthens the heart and lungs, improving cardiovascular health.
    • High-Intensity Duration (Z4-5 zones): High-intensity training efficiently improves VO2max.
    • Strength Training Duration: Strength training increases muscle mass and basal metabolism, improves muscle function, and prevents fall-related injuries.
    • Steps: Step count is the most common exercise metric, reflecting our daily activity level.
  • Fitness: Fitness is the result of long-term exercise and reflects our health reserve capacity.

    • VO2max: Higher VO2max indicates stronger cardiopulmonary function and healthier cardiovascular system.
    • Resting Heart Rate: Lower resting heart rate reflects better cardiopulmonary function. Psychological stress also affects resting heart rate.
    • Body Fat Percentage: Body fat percentage reflects the proportion of body fat. Lower body fat is associated with lower cardiovascular risk.

Note: Bio Age is based on scientific literature and population-based reference values. It is not a medical test or diagnostic tool. Always consult healthcare professionals for medical advice.

References

  1. Ekelund, U., Tarp, J., Steene-Johannessen, J., Hansen, B. H., Jefferis, B., Fagerland, M. W., Whincup, P., Diaz, K. M., Hooker, S. P., Chernofsky, A., Larson, M. G., Spartano, N., Vasan, R. S., Dohrn, I.-M., Hagströmer, M., Edwardson, C., Yates, T., Shiroma, E., Anderssen, S. A., & Lee, I.-M. (2019). Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis. BMJ (Clinical Research Ed.), 366, l4570. https://doi.org/10.1136/bmj.l4570
  2. Jayedi, A., Khan, T. A., Aune, D., Emadi, A., & Shab-Bidar, S. (2022). Body fat and risk of all-cause mortality: A systematic review and dose-response meta-analysis of prospective cohort studies. International Journal of Obesity, 46(9), 1573~1581. https://doi.org/10.1038/s41366-022-01165-5
  3. Li, J., Liu, X., Yang, Q., Huang, W., Nie, Z., & Wang, Y. (2025). Low lean mass and all-cause mortality risk in the middle-aged and older population: A dose-response meta-analysis of prospective cohort studies. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1589888
  4. Shailendra, P., Baldock, K. L., Li, L. S. K., Bennie, J. A., & Boyle, T. (2022). Resistance Training and Mortality Risk: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine, 63(2), 277~285. https://doi.org/10.1016/j.amepre.2022.03.020
  5. Windred, D. P., Burns, A. C., Lane, J. M., Saxena, R., Rutter, M. K., Cain, S. W., & Phillips, A. J. K. (2024). Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study. Sleep, 47(1), zsad253. https://doi.org/10.1093/sleep/zsad253
  6. World Health Organization. (2020). WHO guidelines on physical activity and sedentary behaviour. World Health Organization. https://apps.who.int/iris/handle/10665/336656
  7. Yin, J., Jin, X., Shan, Z., Li, S., Huang, H., Li, P., Peng, X., Peng, Z., Yu, K., Bao, W., Yang, W., Chen, X., & Liu, L. (2017). Relationship of Sleep Duration With All‐Cause Mortality and Cardiovascular Events: A Systematic Review and Dose‐Response Meta‐Analysis of Prospective Cohort Studies. Journal of the American Heart Association. https://doi.org/10.1161/JAHA.117.005947
  8. Zhang, D., Shen, X., & Qi, X. (2016). Resting heart rate and all-cause and cardiovascular mortality in the general population: A meta-analysis. CMAJ, 188(3), E53~E63. https://doi.org/10.1503/cmaj.150535