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FYI i'm partaking in a course to become a personal trainer (this one)). It is the most in depth and science based course I could find. Currently we're working through nutrition, which is why i got interested in checking out nutrition code in wger.
Here's a few things I'd like to raise based on what I've learned so far:
we didn't learn about Mifflin St jeor specifically, but we did learn several formula's, some of which take into account body fat percentage (rather than just total body weight, as muscle mass vs fat mass has an impact on BMR), and some formula's work better than others, based on if people are well trained are not
in our course we look at another component of energy expenditure: the thermic effect of food (TEF). it raises your expenditure by between 10% and 25% based on body composition and the type of diet. However, i looked at the PAL levels used in wger (wikipedia). It seems those PAL levels are already elevated, and probably include a "catch all" TEF level already. So it's probably broadly okay, but we could make things more accurate by estimating TEF and PAL values in isolation.
adapative thermogenesis: some people's metabolism speeds up significantly when gaining body fat, or slows down when losing body fat, well beyond what the formula's would suggest. apparently there can be differences up to +-20% but it depends highly on the individual.
Anyway, i guess different authorities have different ways of calculating this stuff, and it seems you've already achieved quite an elaborate model, so it's probably not worth messing with it.
Anecdotally, I can add that despite the very different modeling and formula's, for me, wger's output is actually very close to the model used in my course: wger says 2287, my course formula's result in 2342. a difference of about 2.4% !
Maybe the more important point is this: the ultimate answer to what a person's expenditure is, is observational data. since we know that lean body mass takes about 1800 kcal/kg (to gain or lose) and fat mass 9400 kcal/kg. Therefore, if we observe over time the changes in body weight, lean mass and fat mass (or body weight percentage), then we can calculate precisely what the real calorie deficit or surplus was, and assuming the user logged their consumed meals or macros accurately, we can know if the formula's over- or underestimate expenditure. Should wger track a "bias compensation" value, that users can periodically update? Note that:
this is mainly useful when people have access to the above measurements beyond just body weight, which i expect to be a minority (?)
people can already do this effectively today, if they keep notes outside of wger. They can just keep the bias into account when entering their nutrition plans calorie targets
I expect there is lower hanging fruit to work on. However if anyone wants to take this further, I'm happy to share what I know.
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FYI i'm partaking in a course to become a personal trainer (this one)). It is the most in depth and science based course I could find. Currently we're working through nutrition, which is why i got interested in checking out nutrition code in wger.
Here's a few things I'd like to raise based on what I've learned so far:
Anyway, i guess different authorities have different ways of calculating this stuff, and it seems you've already achieved quite an elaborate model, so it's probably not worth messing with it.
Anecdotally, I can add that despite the very different modeling and formula's, for me, wger's output is actually very close to the model used in my course: wger says 2287, my course formula's result in 2342. a difference of about 2.4% !
Maybe the more important point is this: the ultimate answer to what a person's expenditure is, is observational data. since we know that lean body mass takes about 1800 kcal/kg (to gain or lose) and fat mass 9400 kcal/kg. Therefore, if we observe over time the changes in body weight, lean mass and fat mass (or body weight percentage), then we can calculate precisely what the real calorie deficit or surplus was, and assuming the user logged their consumed meals or macros accurately, we can know if the formula's over- or underestimate expenditure. Should wger track a "bias compensation" value, that users can periodically update? Note that:
I expect there is lower hanging fruit to work on. However if anyone wants to take this further, I'm happy to share what I know.
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