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Table 4 Maximum likelihood estimates of binary logistic and probit regression models for diabetes for subjects in the Framingham offspring study in the 20-year observation period predicted by the demographic, behavioral and anthropometric variables measured at Exam 11

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

  Dependent variable: Diabetes in the 20-year period n = 3718
Independent variable Binary logistic model Probit model
  Coefficient SE 95% CI for exp (β)   Coefficient SE Marginal effect SE
Constant -8.658* 0.749 - - -4.666* 0.373 - -
Sex 0.289 0.172 0.952 1.870 0.153 0.085 0.013 0.007
Age 0.053* 0.008 1.038 1.072 0.026* 0.413 0.002* 0.0003
Physical activity score 0.010 0.019 0.973 1.048 0.004 0.010 0.0003 0.0008
Alcohol index 0.016 0.012 0.992 1.040 0.008 0.007 0.0007 0.0006
Cigarettes smoked 0.009* 0.004 1.000 1.018 0.005* 0.002 0.0004* 0.0002
Systolic Blood Pressure -0.004 0.008 0.981 1.011 -0.0001 0.004 -0.0001 0.0003
Diastolic Blood Pressure 0.035* 0.012 1.012 1.060 0.016* 0.006 0.001* 0.0005
LDL -0.001 0.002 0.995 1.003 -0.0005 0.001 0.00004 0.0009
HDL -0.038* 0.006 0.951 0.975 -0.018* 0.003 -0.002* 0.0003
BMI 0.112* 0.016 1.085 1.154 0.059* 0.008 0.005* 0.007
Chi-square statistic2, df = 1 0.005 -    1.29 -   
  1. 1 Values are slope coefficients and standard errors; see equation (4) in the text. 2 Chi-square test for combining height and weight as the BMI based on a logarithmic specification of the model. * P < 0.05.