I'm very interested in helping you solve your problem, but I am doubtful that it can be precisely solved with the data you have. Based on what I've read in the book Glucose Revolution (I am still critically evaluating its claims but so far appears to be solid), it seems that the body's insulin response to a given food varies with pre-/post-intake exercise, whether a fibrous food was eaten beforehand, which types of other food were in the same meal, baseline levels of stress/sleep/insulin, and a host of other factors. Moreover, blood glucose spikes seem to ...
I found this from Slime Mold Time Mold's monthly links for Nov 2023. I imagine @underthesun did as well, but won't speak for them.
This looks super interesting. I've done something similar for myself here. It would be interesting if similar results were found in your data.
I've been doing my own seed oil / obesity investigation for several months now, and I must commend this post for covering all of the major points. My only gripe is that I believe most meta-analyses are wrong because they don't weed out the bad studies (e.g. ones that are poorly designed from the outset or that mistakenly confound their analysis by, say, lumping omega-3 and omega-6 PUFAs together). I imagine the meta-analysts would want to remove these problematic studies so I understand that there are limits to what can be measured.
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A guy is going alone through the wilderness, with a solar powered icebox on his back. He crosses a raging river by swimming. He slashes his way through a jungle. He is blasted by sun on an endless desert. It's been weeks and he has no company at all, save the bleached bones (and ice boxes) of those who did not make it. He climbs a mountain until he finally comes to a cave in the snow. Inside is a man with beard like silvery horsehair, eyes like fire. Very old bu... (read more)