#16
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I'd rather be fat than round. Unfortunately, I'm both right now. It makes it difficult to get in the drops and hammer.
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#17
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is that by DXA?
On a 'population level' that 8% value really isn't healthy. Although good news is testosterone in inversely correlated to fat mass, but I digress: even highly aerobic athletes are rarely under 11%.
see table 5 showing whole body fat mass by sport % here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022746/ and essentially the same findings for NCAA Div 1 athletes (male ave. % body fat was 16%, none lower than 12.2%): : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745817/ |
#18
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Funny story about "asking people to look at me" to evaluate whether I looked fat-ish or not.
I am 5 ft 8 in and about 140 lb. In my opinion, I have a "decent" weight for my height. Not skinny like Kipchoge but not muscular like a rugby player. I am sure in another country (not our US of A), I would be classified skinny. On the flip side, and I know this because I have experienced this, in a different country, I have been called "chubby". And I would not fault them because when I looked around in that country's population, I did look "chubby". All I am saying is that people will judge your composition based on what they see around them. Quote:
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#19
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Both BMI and BRI are rather ad hoc. The latter was conceived by a mathematician but is still ad hoc in the sense that there was no science guiding the idea to use an ellipse as a model. And in fact the two coefficients in the formula were chosen out of convenience simply to get the values in a convenient range. I do think BRI is a clever idea however - something simple that predicts VAT fat. Bonus points for using a circle.
Two things going on here. The main paper from JAMA linked in the article is about the association between BRI and all cause mortality. As others have pointed out, this is about population level effects. There is nothing about patient level prediction. Unfortunately these types of results are often reported out in the media as "your level of risk increases..." The second thing is that the BRI is, in fact, a predictor of VAT fat. That is established in one of the references of the JAMA paper. This is a patient- level prediction result; that is, at the individual level. Its the relationship between VAT fat and all cause mortality that is a population level effect. I only perused the two papers but I do note that the paper establishing BRI as a predictor of VAT states found only "slightly improved" predictions of body fat and VAT compared to BMI. |
#20
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Quote:
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#21
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I am curious what these BRI calculators are doing and how it estimates body fat. My BRI is apparently normal but based on other kinds of testing the % body fat estimate the calculator comes up with for my measurements seems wildly high. |
#22
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I am a bowling ball by BRI standards and obese by BMI standards.....
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#23
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The 2013 paper referenced in the main paper is the one that developed BRI and established it as a predictor of VAT and % body fat. They used various regression models with and without other other variables - age, height, sex, race, and weight. They included interactions and transformations of these variables also apparently. I'm seeing tables of R^2 values but not model coefficients but I'm sure they are easily found someplace
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#24
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__________________
mike | bad at bikes |
#25
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When I was stationed in Hawaii, the Samoan and Tongan boys are encouraged to play football. It's not unusual for the offensive line to average over 300 pounds. If the kid doesn't get a scholarship to play football, they become a ticking time bomb of heart disease and/or diabetes because most will remain that size for the rest of their shortened lives. |
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