@BenBikmanPhD Thorough evidence of the contrary compiled in:
"Pleiotropic effects of GLP-1 receptor agonists — a narrative review of extra-metabolic outcomes in adults"
https://t.co/KXvMsMQr0V
@DrKERMD Reminds me of the guy who went to the Olympia and asked to check random bodybuilders' blood pressures:
https://t.co/Jzw9xiGeUw
One of them almost had her beat: 187/118
@DrKERMD > a blood pressure of 200/100 and a blood sugar of 500
Wow, she was really gunning for a high score, huh?
Besides: are you truly living if you're not walking around in a hypertensive crisis? 🤡
I just experienced something novel with LLM's I've never seen before:
For a single word, Gemini Argon 4 invented a term by combining a different language root with an English suffix:
> "банаl", from common Slavic "бана"-root with a Latin "l" suffix, for "banal"
@BowTiedArepa > What worked? I don't have a freaking clue. If it comes back I'll be more scientific for sure.
Hey, props for being honest at least.
Awesome that you feel better.
@NocturnalNelly So then how are you intending to discriminate whether any increase in muscle size is due to this drug or would have occurred regardless?
@NocturnalNelly This has some interesting literature behind it
Seems to be one of the few compounds that causes local effects:
"MID-35 acts locally within the injected muscle compartment rather than clearing through systemic circulation"
For science, will you do only one side of body?
@EsotericHarambe > "... blood work panels at every 12 weeks, continuous blood donation, blood glucose readings every day, blood pressure readings EOD, health supplement protocols we don’t skimp on"
If you don't have these RX'es are you truly BB'ing?
@GaintrustMikey I usually skip the gym when sleep-deprived too
But there is good news: @BradSchoenfeld recently looked at the impact of sleep deprivation on muscle
It turns out you can still make solid gains if you feel like lifting that day
https://t.co/eYOCKotXbD
Does sleep really matter for muscle growth?
Our new critical review, just pubbed-ahead-of-print in SCJ, takes a deep dive into the evidence linking sleep and muscle hypertrophy.
Here’s what we found:
Severe sleep deprivation can reduce muscle protein synthesis and negatively affect hormones, strength, and training performance. Moreover, observational research links both short and excessively long sleep with poorer muscle health and greater sarcopenia risk.
But here’s the catch: there is surprisingly little direct evidence that habitual sleep duration actually affects resistance training-induced muscle growth. In fact, one of the few longitudinal studies found that sleeping ~1–2 hours less per night did not impair hypertrophy or strength gains over 5 weeks of resistance training in untrained men.
So, while adequate sleep almost certainly plays an important role in supporting recovery and training quality, we currently cannot prescribe a specific amount as “optimal” for maximizing hypertrophy. A reasonable starting point appears to be ~7–9 hours per night. However, individual sleep needs likely vary considerably based on the interplay between genetic predispositions and lifestyle factors.
Bottom line: The mechanisms suggest sleep matters, but we still need long-term controlled studies—especially in trained lifters—to determine how much it actually affects muscle growth.
https://t.co/lTNc9G8cWd
@shortniggarizz@DrCamRx My ex was an alcoholic. It caused all sorts of problems in her life.
I don't drink, not because I have anything against it -- I just don't enjoy it
Saying "just don't drink" makes it seem as if the effort involved is equal for everybody, when the truth is not so black and white
@RetailGaslight@Oxandrolonely@tonymission Have you considered taking IGF-1 directly a-la IGF-1 LR3 or similar?
I've been running it at 100-200mcg/day. When you're taking multiple things, you can't objectively point towards one thing as causative, though.
@BrandonLuuMD Wearables like these are the first step we need to enable the future:
Continuous biometric data stored, along with your health records, so that personalized AI can give you tailored health advice for preventative medicine