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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.
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Population Health Metrics

ISSN: 1478-7954