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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 variables1,2

From: A longitudinal analysis of the risk factors for diabetes and coronary heart disease in the Framingham Offspring Study

  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. 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.