Table 2:

Prediction equations derived using logistic regression to predict metabolic syndrome

Model	Name	Test Variables	AUC	Equation†
1	BMI	BMI	0.819	−5.768 + 0.143*BMI
2	BMI + demographics	BMI, age, race, sex,	0.861	−9.643 + 0.177*BMI + 0.059 * Age – 0.059 * NH Black + 1.159 * NHOPI
3	3DO	3DO	0.889	−12.583+0.073*3DO Body fat percent +0.009*3DO Chest volume – 0.046*3DO Left arm area + 0.025*3DO Left arm volume + 14.516*3DO WHR
4	BMI + demographics + 3DO	BMI, age, race, sex, 3DO	0.917	−17.328 + 0.192*BMI + 0.033*age + 1.569*sex – 1.131*NH Black + 0.986 * NHOPI – 1.061 * 3DO Bone mass percent – 0.015 * 3DO Left calf volume – 0.157 * 3DO WC + 19.887 * 3DO WHR

Where sex (male = 0, female = 1); NH Black (all other = 0, NH Black = 1); NHOPI (all other = 0, NHOPI = 1)

^†Probability of MetS calculated using = $\frac{1}{1+ex{p}^{-\left(equation\right)}}$

Abbreviations: 3DO: 3-dimensional optical, WC: waist circumference, WHR: Waist-to-hip ratio