Skip to main content

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