Athletes in weight-category sports has a well-known answer and a correct answer, and the interesting work is establishing that they are the same. Nobody has done that here yet.
Athletes in weight-category sports: a different risk calculus posts 31–43
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1 · go to the accepted answer.
Being outside the studied population does not mean a treatment is unsafe. It means the usual evidence is not available and the reasoning has to be explicit.
Taking post #30 at face value and following it one step further.
The most useful contribution here is usually a citation to whichever published document comes closest, with a plain statement of how far it is from the question.
The mechanism is plausible, which is not the same as established.
Hypoglycemia risk: in people already on insulin or sulfonylureas, adding a GLP-1 agonist requires insulin dose reduction and close monitoring for hypoglycemia. This is manageable with attention.
The answer changed when I changed how I was measuring, which was informative.
I have three months of notes on athletes in weight-category sports and the honest summary is that the trend is real and the week-to-week numbers are noise. I nearly drew the opposite conclusion from the first fortnight.
Something worth flagging about athletes in weight-category sports: the strongest-sounding claims in this thread are the ones with no source attached, which is the usual pattern and not a coincidence.
That is clearer than the version I had in my head. Thank you.
Post #36 put the caveat in the right place and I want to underline it.
Body weight at the extremes of the studied range affects exposure and the trials rarely reported enough to say by how much.
That holds for the case as described. Change the assumptions and it may not.
Adding the measurement that post #38 says would settle it.
Older adults: sarcopenia risk is higher, polypharmacy is common, and the clinical trials did not enroll many people over 75. Extrapolating to very old people is extrapolating beyond the data.
That has held every time I have looked, which is not the same as always.
Post #36 describes the usual case. This is about the unusual one.
Offering a way to settle athletes in weight-category sports rather than another opinion about it. Two measurements, taken the same way, a fortnight apart. If the difference is within the noise, the question was not answerable at this precision.
Worth separating two things that post #38 runs together.
Having read the whole athletes in weight-category sports thread before replying: the question in the first post has not actually been answered yet, and three of us have answered a nearby one instead.
Genetic and ancestry-related differences in response are asked about regularly and the published evidence is thin enough that the honest answer is short.
Athletes in weight-category sports is worth one more sentence than it usually gets, and the sentence is the one about how the number was arrived at.
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