That was a hard one to figure out. I guess the "overweight" classification here probably means "overweight but not obese" and nearly the entire cohort was overweight in the conventional sense?
That was a hard one to figure out. I guess the "overweight" classification here probably means "overweight but not obese" and nearly the entire cohort was overweight in the conventional sense?
> 44.5% (98/220) of the participants were overweight (BMI 23.0-27.5 kg/m2) and 49.5% (109/220) were obese (BMI > 27.5 kg/m2)
Sleep apnea compounds obesity because it makes it difficult to get restful sleep, which is one of the necessary tools for losing weight.
And then there are specific names for ranges of BMI, which include "Normal range" for 18.5 to 24.9, "Overweight (Pre-obese)" for 25-29.9, and then three classes of "Obese" above 30 as well as three "Underweight" types below 18.5.
Generally this is simplified down to "Underweight", "Normal", "Overweight", and "Obese", with the following words after "Normal" and "Overweight" being implied, and with the multiple levels of underweight and obesity ignored unless discussing someone light or heavy enough that it's worth considering the differences between "Obese (Class I)" and "Obese (Class III)", or between "Underweight (Mild thinness)" and "Underweight (Severe thinness)" - all still based purely on the BMI number.
Sorry for the long winded answer, but even more here: https://en.m.wikipedia.org/wiki/Body_mass_index
Weirdly it seems like this study used the same logic but set non-standard boundaries (27.5 rather than 30 as the point between Overweight and Obese).
Unfortunately, it usually goes in the bad direction, by quite a bit. BMI under-predicts obesity. You only have to hit 25% body fat as a male to be obese, or 32% as a female.
https://academic.oup.com/jes/article/7/Supplement_1/bvad114....
Let's be honest a second here, for every "too muscular bmi obese" there are a thousand "good ol obese"
In this sense, in the US, over 70% of adults are overweight ("overweight or obese"). So the numbers seem reasonable splitting that population in half.
This comedian's mom taped him in the middle of sleep apnea - https://www.youtube.com/watch?v=iP1rMGlUCck