Abdominal fat predicts heart disease risk better than BMI
Abdominal and especially visceral fat around the organs appears to predict cardiovascular risk more accurately than body mass index (BMI), which many see as a crude population statistic that can misclassify individuals, particularly athletes, very tall or very short people, and those who are “skinny fat.” Commenters argue that simple waist-based measures (waist circumference, waist-to-height or waist-to-hip ratios) and direct body-fat assessments offer better insight into heart disease risk, while also emphasizing the importance of diet, physical activity, and other metabolic markers alongside any single metric.
BMI vs abdominal/visceral fat
- Many commenters say the result isn’t new: waist/abdominal (visceral) fat has long been known to predict cardiovascular disease (CVD) risk better than BMI.
- BMI remains popular because it is trivial to measure and reproducible; any scale + height gives a number that’s good enough for large-population statistics.
- Several note that the location of fat matters: intra-organ and visceral fat are described as “really bad,” subcutaneous fat as less strongly linked to CVD.
How to measure abdominal/visceral fat
- Practical proxies discussed:
- Waist circumference and waist-to-height or waist-to-hip ratios.
- DXA/DEXA scans that quantify visceral fat, often available at sports medicine centers (usually not insured but relatively cheap in some places).
- Some confusion about how exactly to measure waist (where, when, post-meal or not), which is cited as a usability drawback versus BMI.
Limits and misuse of BMI
- Strong consensus that BMI is crude for individuals:
- Cannot distinguish fat vs muscle, visceral vs subcutaneous fat, or fat distribution.
- Overestimates fat in muscular/athletic people; underestimates in “skinny fat” people with low weight but high body fat percentage and little muscle.
- Performs worse at height extremes and is biased across age, sex, and ethnicity.
- Defenders argue it is still a valuable screening tool: very high BMI almost always means excess fat; problems arise when people treat it as a definitive individual diagnosis instead of a first-pass flag.
Heart disease risk screening beyond fat
- Some argue that non-invasive ECG-based models outperform traditional risk scores (PREVENT, SCORE-2), and criticize current guidelines for underusing ECG data.
- Others question the cited ECG–risk paper (no proper validation splits) and point to CT coronary calcium (CAC) scoring and angiography as important tools for detecting plaque.
- Debate continues on whether abdominal fat metrics materially add to or replace existing risk models that already use lipids (especially LDL), blood pressure, and other factors.
Lifestyle, diet, and weight loss
- Common recommendations: reduce saturated fat, increase viscous fiber (legumes, etc.), exercise regularly, avoid smoking, and prevent or reverse type 2 diabetes, all to lower CVD risk.
- Thread debates whether absolute fat mass vs body-fat percentage matters more, and emphasizes that visceral fat is especially harmful.
- Long subthread on weight loss:
- One side stresses calorie deficit and macro tracking as reliable but adherence-limited.
- Others highlight metabolic adaptation, poor long-term success of “willpower-only” diets, environmental drivers (processed, hyper-palatable foods; low activity), and the need for sustainable lifestyle change or medical treatments.
Resistant starch and fiber
- Linked study on resistant starch reducing visceral fat via microbiome changes draws interest but also strong methodological criticism (small, localized sample; short duration; high doses; industry ties).
- Broader agreement that higher fiber intake (from fruits, vegetables, legumes) is beneficial, but skepticism toward “magic” foods that promise effortless fat loss.