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- cross-posted to:
- [email protected]
The body mass index has long been criticized as a flawed indicator of health. A replacement has been gaining support: the body roundness index.
The body mass index has long been criticized as a flawed indicator of health. A replacement has been gaining support: the body roundness index.
Brief summary: scientists create model based on age, height, weight, sex, race, waist circumference and hip circumference. This is more accurate than the one based on height and weight, and also impossible to use without a computer.
Very usable without a computer once you do it once.
If you’re at a 5 on the scale, “average to unhealthy” at 36 inches, you can put in 32 inches and find out that you’ll be “lean to average.” Or maybe you’re a 42 and a 38 to get the same range. It’s pretty easy to put in your waist, then set a “goal” waist.
So your goal is to lose 4 inches of stomach width, which you can measure with a $3 tailors tape.
Update the goal every year or so, as the numbers change as you age, but other than that, you’re all good.
BMI has some great benefits, in that it’s really easy to get and you can’t mess it up. That’s why it’s a great measure for population and an amazing indicator for individuals.
anyone who made it halfway through highschool can do this
I had to tripple check if I got the correct number of brackets, that’s how easy it is. And note that this isn’t even the useful number that’s used in the supporting paper. They validate their model by adding in other factors for waist and hip circumferences, age, height, gender, ethnicity, and body weight, to get bodyfat percentage and visceral adipose tissue, and check that to other data.
BMI is a spherical cow in vacuum, simple, easy, and close enough in basically all cases. And when it’s off, it’s usually off in being too conservative. BRI is a great tool for healthcare profesionals, but it requires too many measurements and too much math for the average person.
BMI is specifically not an amazing metric, for populations or individual people. The article goes into its flaws at length, but to summarize :
Its 200 years old, and is based nearly entirely on white men, with no design consideration for women or POC. It also fails utterly to account for muscle, so it classifies many very fit people as obese.
Its only use is that it’s been in used for so long it can be used as a historical measurement to compare generations to each other.
Complicated math in the age of smartphones is a non issue. I used that very equation without even knowing it, within seconds. It’s also not required more than once/year if you do the very simple thing I discussed above.
It’s a great measure for populations specifically because it doesn’t rely on getting extra measurements. Height is easy, weight is easy. These are things we have data on for huge groups of people without doing any extra work at all. If you want BRI, you need to go out and measure people, which is expensive, or you need to rely on self-reporting, which is almost always wrong.
That’s why I said it’s a good indicator, which is not the same thing.
There are plenty of people who are .5 points short of being obese, but thanks to being very sedentary are still carrying too much fat, so it’s a bad metric. But if you’re .5 points short of being obese, you should take note of the fact that you’re basically obese, so it’s a good indicator.
This is such a stupid argument. A model that uses 2 variables does indeed not use every other variable in the universe. BRI doesn’t account for lymphedema, race, amputation, pregnancy, gender, hydrocephalus, bladder obstruction, weight, congestion, muscle, cardiac health, age and a million other variables.
BRI uses exactly 2 measurements: Waist circumference and height, which is the exact same number of variables as BMI (height and weight). Which basically removes every argument except “BMI is older”, which is a very strange argument to make.
Now, anticipating your reply: Using BRI to compute bodyfat and VAT requires many other inputs, like gender, race, age, etc, making it a more nuanced, better model. But that’s not what’s being discussed here. If you look up a “BMI based” bodyfat calculator, it will ask for your waist circumference. If you look up a “BRI based” one, it will ask for your weight. Those are completely different models doing something completely different.
And this is exactly my problem with this paper. They say “This model is much better!” and then they proceed to not actually use their model in validation, but a derived model.
Now, what I DO agree on is that BRI is very useful for one thing, even without strict validation: It removes the “BMI is bad” excuse for people, so from a public health viewpoint I fully support using BRI as the new “BMI killer” metric that i’ll gladly say is amazing for everyone. If that gets people to focus on solving the obesity crisis in the west, I’ll happily support it as the best thing in healthcare since indoor plumbing and germ theory. But in reality, it’s a model based on just 2 variables.
If a person is obese by BMI and the weight is actually muscle it’s obvious to everyone. They’re either in fantastic shape or they’re a powerlifter (all of who know the health risks of the amount of fat they’re carrying). BMI isn’t wildy off in ways that will surprise a doctor.
Have you read the article’s part about diabetes?
Yes; I’m not saying that BRI isn’t better.