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Empowering Your Health with N-of-1: A Personalized Approach

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A visual guide to personalized health through N-of-1 methodology

Individualized lifestyle medicine offers a unique, FDA-approved N-of-1 method designed for you to tailor health recommendations that suit your specific needs. This approach allows individuals to uncover the Minimum Viable Health Habits (MVHH) necessary to enhance personal health and longevity.

What’s New

Medical research has equipped us with a practical tool for identifying those essential health habits that can significantly improve your wellbeing: the N-of-1 method. This approach empowers you to become your own health expert.

Why It Matters

Maximizing health and lifespan does not require strict adherence to every health guideline; instead, focus on those recommendations that align with your individual health profile. The N-of-1 method employs clinical principles to facilitate this personalized exploration.

Your Three Takeaways

As you embark on this journey to understanding your health better, you will: - Learn how to utilize the N-of-1 method to identify your unique MVHH. - Access a downloadable Excel file to conduct your initial personal health experiments. - Discover how to leverage Bioage as a key biomarker for your health.

Lifestyle Medicine

It may surprise you to learn that many health recommendations benefit only a subset of individuals while being ineffective or even harmful to others. This is an essential truth in medical science, and lifestyle medicine is no exception.

To clarify, the American College of Preventive Medicine defines lifestyle medicine as: "... a medical approach that uses evidence-based behavioral interventions to prevent, treat and manage chronic disease."

One widely discussed intervention is reducing salt intake to manage blood pressure. Research has shown varying responses to salt intake among individuals, highlighting differing sensitivities that challenge the notion of universal health recommendations.

Lost in Translation: The You in N-of-Many

The variability in individual responses to health interventions is vividly depicted in research findings. For example, one in six individuals may experience inverse salt sensitivity, indicating that a tailored approach is necessary.

Clinical evidence shows that health recommendations can’t assume a one-size-fits-all model. The randomized controlled trial (RCT) method, while effective, can obscure significant individual variations by relying on group averages that do not reflect individual responses.

N-of-1: The Single-Case Experiment

The term "significant" often arises in health studies, implying that even minimal differences can be noteworthy. However, true significance is determined by the number of observations, not just by the magnitude of change.

An N-of-1 study focuses on a single participant but increases the number of observations to derive meaningful insights. For instance, you could track your blood pressure over several weeks, alternating between high and low salt diets to gather data about your unique response.

Designing Your N-of-1 Experiment

In your blood pressure monitoring experiment, you might measure your levels daily for ten days on a high-salt diet, followed by another ten days on a low-salt diet. This creates an AB design that allows for a comprehensive analysis of your blood pressure trends.

The N-of-1 method encourages you to engage in self-experimentation, enabling you to identify effective lifestyle habits through personal data rather than relying solely on general recommendations. The FDA and EMA recognize N-of-1 as a credible method for evaluating individual interventions.

N-of-1 to Identify Your MVHH

The primary advantage of the N-of-1 approach is its ability to help you trial and discover the essential lifestyle habits that promote your health and vitality. This concept mirrors the minimum viable product (MVP) in startups, emphasizing that not all health guidelines need to be strictly followed for optimal wellness.

Utilizing feedback from N-of-1 experiments, you can find the right combination of health habits that resonate with your personal health journey. A downloadable Excel file is available for you to conduct a simple N-of-1 experiment, aiding in your understanding of how your habits affect your health.

Bioage: Your Benchmark Biomarker

While blood pressure is a common marker, Bioage serves as an alternative to guide your N-of-1 health experiments. Biological age, or vascular age, is influenced by endothelial function, with pulse wave velocity (PWV) being the preferred measure.

Why Haven't You Heard of N-of-1 Before?

The lack of widespread recognition for the N-of-1 approach can be attributed to a gap in medical training and the hesitance of health authorities to endorse self-experimentation. However, embracing this method allows individuals to take charge of their health.

As a healthcare system evolves, it must acknowledge the need for personalized testing of health recommendations, recognizing that individual experiences and outcomes may vary widely.

I invite your feedback and questions regarding your experiences with N-of-1. Join me on Medium Day for a Q&A session!

Join the discussion on N-of-1 methods and personalized health

Cited References

  1. Juraschek SP, et al. Effects of Sodium Reduction and the DASH Diet in Relation to Baseline Blood Pressure. J Am Coll Cardiol 2017;70:2841–8. doi:10.1016/j.jacc.2017.10.011.
  2. Felder RA, et al. Inverse Salt Sensitivity of Blood Pressure: Mechanisms and Potential Relevance for Prevention of Cardiovascular Disease. Curr Hypertens Rep 2022;24:361–74. doi:10.1007/s11906–022–01201–9.
  3. Zeevi D, et al. Personalized Nutrition by Prediction of Glycemic Responses. Cell 2015;163:1079–94. doi:10.1016/j.cell.2015.11.001.
  4. Pickering C, Kiely J. Do Non-Responders to Exercise Exist — and If So, What Should We Do About Them? Sport Med 2019;49:1–7. doi:10.1007/s40279–018–01041–1.
  5. Gupta DK, et al. Effect of Dietary Sodium on Blood Pressure: A Crossover Trial. JAMA 2023;330:2258–66. doi:10.1001/jama.2023.23651.
  6. European Medicines Association. Guideline on Clinical Trials in Small Populations. 2006.
  7. Nikles J, et al. Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs. Contemp Clin Trials Commun 2021;23:100826. doi:10.1016/j.conctc.2021.100826.
  8. Folsom AR, et al. Community Prevalence of Ideal Cardiovascular Health, by the American Heart Association Definition, and Relationship With Cardiovascular Disease Incidence. J Am Coll Cardiol 2011;57:1690–6. doi:10.1016/j.jacc.2010.11.041.
  9. Bruno RM, et al. Early and Supernormal Vascular Aging: Clinical Characteristics and Association with Incident Cardiovascular Events. Hypertension 2020:1616–24. doi:10.1161/HYPERTENSIONAHA.120.14971.
  10. González L del M, et al. Age and Vascular Aging: An Unexplored Frontier. Front Cardiovasc Med 2023;10:1–12. doi:10.3389/fcvm.2023.1278795.
  11. Campo D, et al. Measurement of Aortic Pulse Wave Velocity With a Connected Bathroom Scale. Am J Hypertens 2017;30:876–83. doi:10.1093/AJH/HPX059.

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