Abdominal fat is a more accurate predictor of heart-disease risk than body-mass index alone, according to a new research study [1, 2].
This finding shifts the focus from overall weight to where fat is stored on the body. Because BMI does not distinguish between muscle mass and fat distribution, it may overlook high-risk individuals who fall within a normal weight range but carry excess weight around the midsection.
Dr. Tara Narula, a medical correspondent for ABC News, said the findings were reported in August 2026 [1, 2]. The research indicates that waist circumference provides a more precise measurement of a patient's likelihood of experiencing cardiovascular events [3, 4].
Researchers linked the increased risk to the nature of abdominal fat. Excess fat in the belly area is associated with systemic inflammation [5]. This inflammation can damage the cardiovascular system, increasing the likelihood of heart failure and other serious heart-related issues [5].
While the study emphasizes the dangers of abdominal fat, other reports have presented conflicting views. Some data suggests that certain types of visceral fat may not always be detrimental, though the primary findings of this research highlight the risks associated with increased waist size [1, 2].
Medical professionals often use BMI as a primary screening tool because it is easy to calculate. However, this study suggests that measuring the waist may offer a more critical insight into a patient's actual health status. By identifying systemic inflammation early, doctors may be able to implement preventative measures for patients who appear healthy by weight alone, but possess high-risk abdominal fat levels.
“Abdominal fat is a more accurate predictor of heart-disease risk than body-mass index alone.”
The shift from BMI to waist circumference as a primary health marker reflects a growing medical understanding of metabolic health. By prioritizing the location of fat over total body mass, clinicians can better identify patients at risk for heart failure regardless of their scale weight, potentially leading to more personalized preventative care.
