Table 5.

Multiple regression results for two constructed models

	Model 1			Model 2
	14 ≤ age ≤ 73			50 ≤ age ≤ 73
Predictor	Coef. *	SE **	p †	Coef. *	SE **	p †
Constant	2.43	0.0101	<0.001	2.35	0.0342	<0.001
BMI	−0.0001	0.0002	0.676	0.00016	0.00046	0.722
Age	0.0004	0.00009	<0.001	0.00011	0.00041	0.792
Systolic Blood Pressure	−0.00012	0.00009	0.232	0.00019	0.00015	0.216
Diastolic Blood Pressure	0.00005	0.0001	0.644	0.00070	0.00022	0.003
Gender	−0.0075	0.0024	0.003	−0.0126	0.00499	0.016
Diabetes	0.0119	0.0042	0.005	0.0100	0.00480	0.034
R-squared	20.7%			48.8%
R-squared (adjusted)	18.0%			40.8%

*Regression Coefficients, **Standard error of coefficients, ^†α = 0.05.