05 · The reasoning
Not a generic Mediterranean-diet explainer — this maps five plan principles directly to your labs, your CGM patterns, and the sleep-and-sodium correlation you already found in your own data.
Your A1C and fasting insulin are excellent — glucose control isn't the issue, LDL and ApoB are. Soluble fiber (lentils, chickpeas, beans, oats) binds cholesterol in the gut and is one of the few dietary levers with real evidence behind it for lowering LDL. Nearly every lunch and dinner on this site includes a legume or whole grain for exactly this reason.
Lp(a) is largely genetic and diet moves it little — but omega-3s from fatty fish do measurably help ApoB and overall particle count, which is the part you can actually influence. Salmon, tuna, cod, and shrimp appear across every meal category; red meat is present but portioned down, not eliminated.
Your own analysis linked high-sodium nights to fragmented sleep and suppressed HRV. Everyday meals here run leaner on sodium than the prepared foods they replace — but the fueling page deliberately carves out an exception for long runs, where sweat losses change the calculus entirely.
ACC/AHA 2018 guidance flags South Asian ancestry as a risk-enhancing factor independent of the numbers above — it's part of why the CAC scan and cardiology referral matter, and why this plan leans a little more conservative on saturated fat than a "just eat Mediterranean" template would by default.
A 24-week marathon build with OTF, spin, and strength stacked on top needs real fuel. Nothing here is calorie-restrictive — meals average 550–700 kcal with 30–45g protein, roughly matching what your MFP data shows you already eating, just resourced differently.
It won't move Lp(a) meaningfully — that's the one number here that's mostly genetic, and it's exactly why the CAC scan and cardiology referral already in motion matter more than any dietary change. Food is the lever for LDL, ApoB, and the training side; the cardiology workup is the lever for Lp(a) risk stratification.
The Super Agers idea is closing the loop with your own CGM data rather than following a fixed plan. Once you've run a few weeks of this: check your Lingo data after the curry-flavored meals versus the pasta nights, and after the post-long-run yogurt bowl versus a gel-only recovery. Where your own glucose response disagrees with the assumptions here, trust the data over the plan — swap grain sources or portion sizes meal by meal.