[–] 3 points 3 hours ago

I think you're probably conflating obese and 'overweight' in regards to seemingly fit or athletic body types. BMI is still notoriously inaccurate when trying to define regulars at a gym or athletes. It often lables them as overweight due to muscle mass being more dense than body fat. But it's pretty difficult to have that body type and lifestyle but be labeled as obese. For example, at my height I would need to weigh 220lbs to be obese. It's doable considering the 3% figure but unlikly.

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  • [–] 5 points 8 hours ago* (last edited 7 hours ago)

    I was specifically referring to the enormous number of people who claim that they've only been diagnosed as obese due to the inaccuracy of BMI as a measure, not the (even larger) number of people who should be diagnosed as obese but aren't.

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  • [–] 3 points 9 hours ago (1 child)

    I could be wrong but your wording suggests you're misreading that.

    Article states false positive rate is 3% and false negative is 5-9%

    That's obviously not the same as wrong 3% of the time.

    If we assume even tails then 8-12% of the time BMI incorrectly diagnoses.

    Which is about what I'd expect. BMI is an approximate fit model, the further you get from the mean the less useful it is. If you are more than 1 standard deviation from the height mean you are much more likely to get a false positive (if you're short) or false negative (if you're tall).

    In other words it's a line of best fit that doesn't work for outliers

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  • [–] 9 points 9 hours ago* (5 children)

    Any improvement in diagnosis is certainly to be celebrated, but I was surprised to find out that BMI only wrongly diagnosed obesity less than 3% of the time.

    Seems like it's already much more accurate than it usually gets credit for.

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