Mixed
Anthropometric prediction equations using age, race, height, weight, and waist circumference provide a valid, high-accuracy estimate of lean body mass and fat mass, significantly outperforming BMI in predicting obesity-related biomarkers.
Stop relying solely on BMI to judge your health or body composition. You can get a highly accurate estimate of your lean and fat mass using simple measurements: height, weight, waist circumference, age, and race. This method is as effective as expensive scans for predicting metabolic health risks like cholesterol and blood sugar, making it a practical tool for anyone.
Our findings suggest the potential application of the proposed equations in various epidemiological settings... predicted fat mass and percent fat had significantly stronger associations with obesity-related biomarkers than BMI did.
Why this rating
Large, representative sample (NHANES 1999-2006, n>14,000), rigorous cross-validation, and validation against objective biomarkers.
Source
Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999–2006
Dong Hoon Lee et al. · British Journal Of Nutrition · 2017
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