Ten years ago this week, I quit heavily drinking alcohol cold turkey and quit eating carbs. I weighed 256lb (I'm ~5'11'"), waist:hip was 1.16, and waist:height was 0.7, trigs were 393. I had gout, depression, hypertension, anxiety, asthma, zero energy, metabolic syndrome, 1/n
and couldn't walk from my garage to my shed and back. I was on 7 prescription drugs and several OTC. I was miserable and was planning on not making it to age 56. After decades of ADA/AHA/DGA-approved low-fat, five-a-day, healthy whole grain, limit saturated fat, eat the 2/n
rainbow, moderation required, seven meals a day, your body needs sugar, willpower-driven, breakfast is the most important meal of the day eating I was totally wrecked. 3/n
Many times over the decades (since 1974), I've been right where I am today: At a low, nearly optimal weight after a fairly profound weight loss. Before 2014, I reduced weight via calorie restriction and willpower. It's a miserable process rife with hunger and (unknown to me
at the time, negative metabolic and physical changes). After 2014, when I went lower carb, I could still restrict calories, but with a higher protein, higher fat, lower carb diet, there was much less hunger. But my weight still yo-yoed because when I wasn't consciously
restricting calories to lose weight, I still didn't really understand how to eat. The difference between today and all the prior instances is that I finally know how to eat: when to eat and when not to, what to eat, and why. I look forward to meals (strange, I know, for
Nutrition for Precision Health, powered by the All of Us Research Program
"The goal of the NIH Common Fund’s Nutrition for Precision Health, powered by the All of Us Research Program, is to develop algorithms that predict individual responses to food and dietary patterns."
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The objectives of the study are:
1. To examine individual differences observed in response to different diets by studying the interactions between diet, genes, proteins, microbiome, metabolism and other individual contextual factors
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2. To use artificial intelligence (AI) to develop algorithms to predict individual responses to foods and dietary patterns
3. To validate algorithms for clinical application
I don't see any corporate sponsors. Boy, are they in for a surprise!
Looks at lab report — LDL-C 270 (350 last time), LDL-P 2504 (3421) — and recites should be <100 and <1000. Says nothing about HDL 77 or TRIG 69 or LP-IR <25). Freaks out. I can tell this report colors everything else he says, and how he says it. 1/n
"Your CAC was abnormal." (17 this time, zero three years ago). Then adds, but anything less 100 is lower risk. "Your carotids are worse this time." Then adds but the % occlusions are not very accurate. Recommends a statin, plant-based diet, avoiding SFA, yada yada. 2/n
So I asked about CCTA to look for soft plaque. He says one is not necessary b/c I am symptom-free and I easily passed my stress test two years ago. It's really hard to tell whether the calcified plaque and "worsening" carotid stenosis is serious (take drugs) or not 3/n