I thought this was pretty well known already. Being “overfat” is the problem, not being overweight (though they’re often correlated). BMI is really easy to measure, and is mostly accurate, that’s why it’s so pervasive. However it remains a pretty rudimentary metric (and really should use the third power or your height instead of the second).
> Studies have shown that visceral fat, which is fat that surrounds the internal organs in the abdominal area, is associated with chronic diseases like heart disease and diabetes, while subcutaneous fat, which is located directly under the skin, is not as strongly associated.
How does one determine if one has an excess of visceral fat?
For two people that are the same height, one could have X lbs of pure muscle, and one could have X lbs of pure fat, and they would have the same BMI. Color me shocked that it is not always a good predictor of disease.
The irony of BMI is that people with plenty of muscle mass are more likely to have a high BMI as well as lowered risk for heart disease.
BMI was never meant to be used as a diagnostic measure. BMI is just a rough filter for large data sets, and entirely dependent on the average height and habits of that population.
Anyone taller than about 6'3" could tell you the recommended weight according to their BMI has always been absurdly low. If it's a printed chart on the wall, they might not even be on it.
For non-invasive heart disease risk prediction nothing beat ECG, period.
Somehow American Heart Association and its European counterpart are in denial, and still pushing dinasour screening mechanism with very low accuracy for heart disease risk prediction.
The standard risk model for CVD based on PREVENT (US) and SCORE-2 (Europe) like parameters are very poor as reported in the recently published paper on the their accuracy performance by the Swedish team [1]. As all CVD risk stratification with cardiologist review (expert-in-the-loop), the most important accuracy metric is sensivity/recall (avoiding false negative that will escape review) of PREVENT and SCORE-2, 26% and 48%, respectively.
The paper alternative proposal increased the sensitivity to 58% by performing clustering instead of conventional regression models as practiced in the PREVENT and SCORE-2.
These type of models including the latest proposal performed very poorly as indicated by their otherwise excellent and intuitive display of graphical abstract results [1].
[1] Risk stratification for cardiovascular disease: a comparative analysis of cluster analysis and traditional prediction models:
Cutting saturated fat to under 15g per day and increasing intake of viscose fibre (e.g. beans) will reduce your LDL particle count in a few weeks, which reduces your CVD hazard ratio. You can measure your LDL and look up the papers yourself. Statins will reduce it a lot too (potentially with side effects). Replace solid fats like butter with liquid fats like olive oil.
Literally any amount of regular exercise, including walking, will decrease CVD HR. The more the better (up until quite a large amount e.g. professional athlete). The more your heart is steadily pumping during exercise the better. Every bit helps reduce CVD risk. Movement is medicine.
For the love of God do not smoke. Literally one of the surest ways to die a horrible death. Stopping smoking reduces CVD risk by a large amount.
Do not give yourself diabetes by eating vast amounts of sugar. If you are doing this, stop. Not having diabetes decreases CVD risk.
Other factors you probably can't change so focus on these.
Doctors, if I got anything wrong please correct me.
> Those with obesity and low WC [waist circumference] were not found to be associated with a significantly different risk of outcomes compared with those who had normal weight and low WC, except for all-cause mortality, for which risk was significantly lower.
If I'm reading that right, it sounds like obesity (and therefore BMI) is still a better predictor for all-cause mortality. Perhaps waist circumference is better at predicting cardiovascular risk but BMI is still useful.
A nitpick about the title: Not strictly abdominal fat, but visceral abdominal fat, which surrounds the organs. Not all abdominal fat is visceral; in fact, in many people the majority is not.
The article mentions visceral early on, which is the subject.
Relatedly, there is evidence that certain types of "resistant starch" can help reduce visceral fat. This starch comes from green bananas, potatoes, legumes, etc. It has to be either raw (there are supplements for this) or cooked and cooled.
"Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota"
I started taking resistant starch in the form of raw green banana powder after decades of undiagnosed digestive issues.
I had been to doctors, gotten colonoscopies and endoscopies and other tests, elimination diets, etc.
One week of this powder mixed with water and my ever present mild diarrhea is basically gone. It's as close to a miracle cure as I can imagine.
However, I haven't lost a single pound or lost a single inch from my waistline.
I have, however, gained muscle, because I can now work out more because I'm not constantly fatigued and my body can recover much faster so I'm lifting weights quite steadily.
I'm so enthusiastic about this that I sound like a bot or a shill but it is what it is.
It doesn't work as a bulking agent like psyllium husk did. I can vary the dose and take it with or without food on a full or an empty stomach and it still works making me think that it might be related to changes in microbiota. I apologize for too much info but I must add that the solidness and color and smell of my feces changed completely and that my digestive system has slowed digestion.
Yeah because it has an actual correlation, whereas BMI is a ridiculously oversimplified measurement designed for population statistics based on what data is easily available, not individual assessment.
Subsequent risk of nine cardiovascular/mortality outcomes in >260,000 people followed for ~20 years
To make it even more useful they should have included DEXA scan bodyfat%.
Also, BMI becomes somewhat biased at height extremes because body mass doesn't scale exactly with height². Humans aren't geometrically scaled copies of one another and empirical scaling exponents are often somewhere between 2 and 3. Conventional BMI tends to read relatively high in very tall people and relatively low in very short people. But changing the exponent would only fix one relatively small limitation of BMI
For better height adjusted replacement for BMI itself, one option is Trefethen’s BMI
WHR and WC is positively correlated to bodyfat% but this may get distorted for strongmen or sumo wrestler who tend to have much higher than average lean mass, may also have higher WC and WHR but difference maybe waist to shoulder ratio, they tend to have much bigger and powerful shoulders.
what's interesting is, for sumo wrestlers specifically, WC still correlates strongly with BF% one study reported r ≈ 0.86
There is a category in fitness called "skinny fat" where you are at low bodyweight (so low BMI) but your fat mass is relatively higher when compared to lean mass, so higher bodyfat%
Many skinny fat people refuse to believe they carry higher bodyfat% because they think they've low bodyweight so they can't possibly carry higher fat, which is wrong.
Thirty years after we learned that abdominal fat distribution matters, large-scale longitudinal evidence shows that waist measurements meaningfully reclassify cardiovascular risk beyond BMI alone.
38 comments
[ 0.61 ms ] story [ 92.6 ms ] threadHow does one determine if one has an excess of visceral fat?
BMI was never meant to be used as a diagnostic measure. BMI is just a rough filter for large data sets, and entirely dependent on the average height and habits of that population.
Anyone taller than about 6'3" could tell you the recommended weight according to their BMI has always been absurdly low. If it's a printed chart on the wall, they might not even be on it.
Somehow American Heart Association and its European counterpart are in denial, and still pushing dinasour screening mechanism with very low accuracy for heart disease risk prediction.
The standard risk model for CVD based on PREVENT (US) and SCORE-2 (Europe) like parameters are very poor as reported in the recently published paper on the their accuracy performance by the Swedish team [1]. As all CVD risk stratification with cardiologist review (expert-in-the-loop), the most important accuracy metric is sensivity/recall (avoiding false negative that will escape review) of PREVENT and SCORE-2, 26% and 48%, respectively.
The paper alternative proposal increased the sensitivity to 58% by performing clustering instead of conventional regression models as practiced in the PREVENT and SCORE-2.
These type of models including the latest proposal performed very poorly as indicated by their otherwise excellent and intuitive display of graphical abstract results [1].
[1] Risk stratification for cardiovascular disease: a comparative analysis of cluster analysis and traditional prediction models:
https://academic.oup.com/eurjpc/advance-article/doi/10.1093/...
(previously at https://news.ycombinator.com/item?id=45857053)
Cutting saturated fat to under 15g per day and increasing intake of viscose fibre (e.g. beans) will reduce your LDL particle count in a few weeks, which reduces your CVD hazard ratio. You can measure your LDL and look up the papers yourself. Statins will reduce it a lot too (potentially with side effects). Replace solid fats like butter with liquid fats like olive oil.
Literally any amount of regular exercise, including walking, will decrease CVD HR. The more the better (up until quite a large amount e.g. professional athlete). The more your heart is steadily pumping during exercise the better. Every bit helps reduce CVD risk. Movement is medicine.
For the love of God do not smoke. Literally one of the surest ways to die a horrible death. Stopping smoking reduces CVD risk by a large amount.
Do not give yourself diabetes by eating vast amounts of sugar. If you are doing this, stop. Not having diabetes decreases CVD risk.
Other factors you probably can't change so focus on these.
Doctors, if I got anything wrong please correct me.
If I'm reading that right, it sounds like obesity (and therefore BMI) is still a better predictor for all-cause mortality. Perhaps waist circumference is better at predicting cardiovascular risk but BMI is still useful.
They need to figure out a way to reliably Measure OXLDL.
"Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota"
https://pmc.ncbi.nlm.nih.gov/articles/PMC10963277/
Edit: Ah, HN submission 2 years ago: https://news.ycombinator.com/item?id=39592367
I had been to doctors, gotten colonoscopies and endoscopies and other tests, elimination diets, etc.
One week of this powder mixed with water and my ever present mild diarrhea is basically gone. It's as close to a miracle cure as I can imagine.
However, I haven't lost a single pound or lost a single inch from my waistline.
I have, however, gained muscle, because I can now work out more because I'm not constantly fatigued and my body can recover much faster so I'm lifting weights quite steadily.
I'm so enthusiastic about this that I sound like a bot or a shill but it is what it is.
It doesn't work as a bulking agent like psyllium husk did. I can vary the dose and take it with or without food on a full or an empty stomach and it still works making me think that it might be related to changes in microbiota. I apologize for too much info but I must add that the solidness and color and smell of my feces changed completely and that my digestive system has slowed digestion.
BMI
Waist circumference (WC)
Waist to hip ratio (WHR)
Subsequent risk of nine cardiovascular/mortality outcomes in >260,000 people followed for ~20 years
To make it even more useful they should have included DEXA scan bodyfat%.
Also, BMI becomes somewhat biased at height extremes because body mass doesn't scale exactly with height². Humans aren't geometrically scaled copies of one another and empirical scaling exponents are often somewhere between 2 and 3. Conventional BMI tends to read relatively high in very tall people and relatively low in very short people. But changing the exponent would only fix one relatively small limitation of BMI
For better height adjusted replacement for BMI itself, one option is Trefethen’s BMI
WHR and WC is positively correlated to bodyfat% but this may get distorted for strongmen or sumo wrestler who tend to have much higher than average lean mass, may also have higher WC and WHR but difference maybe waist to shoulder ratio, they tend to have much bigger and powerful shoulders.
what's interesting is, for sumo wrestlers specifically, WC still correlates strongly with BF% one study reported r ≈ 0.86
There is a category in fitness called "skinny fat" where you are at low bodyweight (so low BMI) but your fat mass is relatively higher when compared to lean mass, so higher bodyfat%
Many skinny fat people refuse to believe they carry higher bodyfat% because they think they've low bodyweight so they can't possibly carry higher fat, which is wrong.
If you are interested in knowing more about bodyfat, this may help you: https://aretecodex.pages.dev/knowledge/measure/bodyfat
just got statin at 44 :(
i am not fat and workout ( although diet can use some improvment)
Thirty years after we learned that abdominal fat distribution matters, large-scale longitudinal evidence shows that waist measurements meaningfully reclassify cardiovascular risk beyond BMI alone.