Table 3.

Maximum likelihood estimates of dynamic random effects model for Systolic and Diastolic Blood Pressure of the subjects in the Framingham offspring study in the 4 exams explained by demographic, behavioral and anthropometric variables^1,2

	Dependent variable
Independent variable	Systolic Blood Pressure n = 2481		Diastolic Blood Pressure n = 2481
	Coefficient	SE	Coefficient	SE
Constant	3.791*	0.156	1.585*	0.158
Sex	-0.001	0.006	0.003	0.005
Age2	-0.707*	0.029	0.425*	0.025
Age-squared2	0.122*	0.003	-0.054*	0.003
Physical activity score	0.0007	0.0005	0.001	0.0006
Alcohol index	0.002*	0.0003	0.002*	0.0003
Cigarettes smoked	0.0000	0.0001	-0.0001	0.0001
Weight2	0.262*	0.016	0.317*	0.018
Height2	-0.451*	0.049	-0.373*	0.058
Lagged dependent variable	0.223*	0.046	0.180*	0.054
Indicator variable for Exam 3	0.005*	0.002	-0.005*	0.002
Indicator variable for Exam 4	0.026*	0.002	-0.009*	0.003
Chi-square statistic3, df = 4	30.8*		35.5*
Chi-square statistic4, df = 1	35.1*		43.9*

¹ Values are slope coefficients and standard errors; see equations (1)-(3) in the text for the explanation of the models.² The dependent and the marked independent variables were in natural logarithms. ³ Chi-square test for the exogeneity of the mean over time of body weight. ⁴ Chi-square test for combining height and weight as the BMI. * P < 0.05.