EPISODE · Jun 3, 2025 · 39 MIN
The 10,000 Test Revelation: Uncovering Health Patterns Through Massive Data
from The Health Signal Podcast | Wellness and Longevity · host Theia Health
Subscribe to our newsletter for more like this - https://theiahealth.beehiiv.com/subscribeBrought to you by - https://theiahealth.ai/In this episode, I had the pleasure of speaking with Reed Davis, the founder of Functional Diagnostic Nutrition (FDN). Reed shared his journey of helping people with chronic health issues by using lab tests to identify hidden problems in their bodies. He emphasized that many individuals come to him after trying various treatments without success, and he helps them understand the root causes of their health issues through a systematic approach.Reed explained that the key to improving health lies in commitment and understanding the consequences of one's lifestyle choices. He introduced the DRESS system, which stands for Diet, Rest, Exercise, Stress reduction, and Supplementation, as a way to guide people toward better health. By focusing on the weakest area first and gradually making changes, individuals can find relief and eventually maintain their health, leading to a happier and more fulfilling life.Timestamps:(0:00) - Intro(00:01:04) - Reed's Lab Testing Experience(00:04:08) - The Importance of Commitment in Health(00:12:01) - Helping Clients Navigate Change(00:19:29) - Phases of Healing: Relief, Correction, Maintenance(00:25:57) - The Role of Consistency in Health(00:34:10) - Differences in FDN Practitioners' SuccessHost Links:https://www.linkedin.com/in/borisberjan/https://theiahealth.ai/Guest Links:LinkedIn: https://www.linkedin.com/company/san-diego-natural-health-&-fitness-ctr/Facebook: https://www.facebook.com/FunctionalDiagnosticNutrition/Instagram: https://www.instagram.com/fdntraining/Twitter/X: https://x.com/FDNtrainingYouTube: https://www.youtube.com/channel/UC7xDnEKCe9gKeWZ2vbE3C8w Website: https://www.functionaldiagnosticnutrition.com/
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The 10,000 Test Revelation: Uncovering Health Patterns Through Massive Data
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