Body fat percentage beats BMI in predicting obesity-related health risks, study says

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A study in the Journal of Clinical Endocrinology & Metabolism found that body fat percentage (%BF) thresholds are more accurate than BMI for predicting obesity-related health conditions, suggesting new standards for defining overweight and obesity.

By Priyanjana Pramanik, MSc.May 19 2024Reviewed by Susha Cheriyedath, M.Sc. In a recent study published in the Journal of Clinical Endocrinology & Metabolism , researchers assessed body fat percentage thresholds to define overweight and obesity by examining their correlation with metabolic syndrome in a substantial sample of adults in the United States.

Modern technologies have improved the estimation of %BF, but outcome-based %BF thresholds are necessary so that these measurements can be used effectively to guide patient health. Now, more accurate %BF estimation methods like multifrequency bioelectrical impedance are maturing and could play significant roles in preventive healthcare. Given the association between %BF and MetSyn, which affects a significant portion of adults, %BF metrics may offer a more precise tool for managing obesity-related diseases compared to BMI.

Each participant's metabolic health was classified based on the presence of MetSyn, defined by meeting at least three of the five key markers: elevated waist circumference, low HDL-C, high fasting glucose, elevated blood pressure, and high triglycerides. Using these %BF thresholds, 27.2% of women and 27.7% of men were classified as having a healthy weight, 33.5% of women and 34.0% of men were classified as overweight, and 39.4% of women and 38.3% of men were classified as obese.

Source: Healthcare Press (healthcarepress.net)

Blood Blood Pressure Body Mass Index Endocrinology Fasting Forecasting Glucose Metabolic Syndrome Metabolism Nutrition Syndrome

 

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