Linear Regression Equations of Davidson et al for Predicting Percent Body Fat for a Patient Based on Race, Skinfold Thickness Measurements and Other Data

Description

Davidson et al developed equations for predicting percent body fat based on race, skinfold thickness and other patient data. These equations perform better than the Durnin and Womersley equations in various ethnic groups. The authors are from St.Luke's Roosevelt Hospital and Columbia University in New York City.

Reference method: DEXA scan

Patient selection: adults >= 18 years of age (up to 110)

Parameters:

(1) race

(2) gender

(3) age in years

(4) body weight in kilograms

(5) body height in centimeters

(6) waist circumference in centimeters

(7) sum of 4 skinfold measurements in millimeters (biceps, triceps, subscapular, suprailiac)

Race	Gender	Percent Body Fat
White	female	(22.044 * LOG10(skinfolds)) + (0.053 * (age)) + (0.179 * (weight)) - (0.155 * (height)) + (0.156 * (waist)) - 13.093
White	male	(23.317 * LOG10(skinfolds)) + (0.064 * (age)) + (0.097 * (weight)) - (0.126 * (height)) + (0.081 * (waist)) - 15.596
Black	female	(20.867 * LOG10(skinfolds)) + (0.052 * (age)) + (0.14 * (weight)) - (0.152 * (height)) + (0.149 * (waist)) - 8.227
Black	male	(22.702 * LOG10(skinfolds)) + (0.065 * (age)) + (0.043 * (weight)) - (0.08 * (height)) + (0.156 * (waist)) - 26.806
Hispanic	female	(23.871 * LOG10(skinfolds)) + (0.019 * (age)) - (0.022 * (weight)) - (0.118 * (height)) + (0.249 * (waist)) - 16.782
Hispanic	male	(23.66 * LOG10(skinfolds)) + (0.04 * (age)) - (0.036 * (weight)) - (0.109 * (height)) + (0.272 * (waist)) - 26.410
Asian	female	(21.43 * LOG10(skinfolds)) + (0.036 * (age)) + (0.241 * (weight)) - (0.149 * (height)) + (0.067 * (waist)) - 7.525
Asian	male	(13.832 * LOG10(skinfolds)) + (0.020 * (age)) + (0.081 * (weight)) - (0.21 * (height)) + (0.289 * (waist)) - 0.65

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