Most men focus on body weight, workouts, or body fat… but those numbers don't tell the full story.

In this episode of Healthy AF, Zane breaks down the five blood markers every man over 40 should be tracking if they want to stay strong, energized, and metabolically healthy for decades to come.

These biomarkers can reveal problems years before symptoms appear and help you catch issues related to metabolic dysfunction, heart disease, inflammation, testosterone decline, and prostate health early.

You'll learn why markers like fasting insulin and fasting glucose often reveal metabolic issues long before diabetes develops, how free testosterone reflects metabolic stress, and why inflammation markers like hs-CRP matter for long-term health.

Zane also explains how lifestyle factors such as poor sleep, chronic stress, excessive fasting, overtraining, and ultra-processed foods can quietly push these numbers in the wrong direction.

If you're over 40 and serious about longevity, performance, and metabolic health, these are the numbers you need to know.

👇 Download Zane's Free Plan https://free40plan.com/

Follow Zane IG: https://www.instagram.com/zanegriggsfitness/

00:00 – 5 Blood Markers Every Man Over 40 Should Know 00:55 – Why Body Weight and Workouts Aren't Enough 01:40 – Marker #1: Fasting Insulin (Earliest Warning Sign) 02:50 – Ideal Fasting Insulin Range 04:00 – What Causes Insulin Resistance 05:05 – Marker #2: Fasting Glucose 06:00 – Why Chronically High Glucose Damages Blood Vessels 07:20 – Low-Carb, Fasting, and Elevated Blood Sugar 08:25 – Ideal Blood Sugar Range 09:15 – Stress Hormones and the "Dawn Effect" 11:00 – Marker #3: Free Testosterone 12:00 – Stress, Fasting, and Testosterone Suppression 13:20 – Ideal Free Testosterone Range 14:10 – Marker #4: hs-CRP (Inflammation Marker) 15:00 – What Drives Chronic Inflammation 15:40 – Visceral Fat, Diet, and Alcohol Effects 16:00 – Marker #5: PSA (Prostate Health) 17:00 – Testosterone and Prostate Cancer Myths 18:20 – Why You Should Start Tracking These Markers Early 19:10 – Why "Normal" Lab Ranges Aren't Optimal