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Table 2 Impact of selected demographic, health care utilization and health status characteristics on the prevalence of stroke for young and old women.

From: Heterogeneity among women with stroke: health, demographic and healthcare utilization differentials

  Old cohort Young cohort
Log likelihood 12,242.677 Log likelihood 4000.929
Estimate Hazard ratio 95% CI Estimate Hazard ratio 95% CI
Black 0.43693 1.548 1.27 1.887 0.23993 1.271 0.949 1.702
South 0.36052 1.434 1.231 1.671 0.40848 1.505 1.171 1.934
Married 0.16993 1.185 0.992 1.417 − 0.45589 0.634 0.475 0.846
Family size 0.16129 1.175 1.088 1.269 0.16642 1.181 1.074 1.299
Smoker 0.45495 1.576 1.364 1.821 0.23637 1.267 0.982 1.634
Alcohol consumption − 0.00124 0.999 0.996 1.001 − 0.00229 0.998 0.99 1.005
Sleep − 0.01381 0.986 0.949 1.025 − 0.10492 0.9 0.836 0.97
Prescriptions 0.60867 1.838 1.057 3.197 − 0.15134 0.86 0.492 1.503
Office visits 0.03536 1.036 1.001 1.073 0.10224 1.108 1.047 1.172
ER visits 0.24169 1.273 1.193 1.359 0.23604 1.266 1.179 1.36
Surgeries − 0.1002 0.905 0.76 1.077 0.1019 1.107 0.815 1.505
Usual care facility − 0.12029 0.887 0.439 1.791 − 0.29586 0.744 0.306 1.808
Hypertension 0.17422 1.19 0.923 1.535 0.27785 1.32 0.862 2.022
Diabetes 0.20904 1.232 1.046 1.453 0.18881 1.208 0.92 1.585
Cholesterol 0.42376 1.528 1.299 1.796 0.06734 1.07 0.83 1.379
BMI 0.03254 1.033 1.022 1.044 0.00263 1.003 0.988 1.018
Sad/depressed 0.57341 1.774 1.331 2.366 0.45926 1.583 1.115 2.248
  1. Indicates significant at the 95% level in Cox proportional hazard model