Table 3: Results of multiple logistic regression analyses on cervical cancer screening among 12186 women ages 18-65 years, 2019 Health Interview Survey.

 

OR

95% CI

P-value

Model 1

 

 

 

Age (18-29 vs. 50-59)

1.472

1.419-1.526

< 0.001

Race (Black AA vs. Whites)

0.575

0.483-0.685

< 0.001

Smoking status (Former vs. never smoker)

1.253

1.103-1.425

< 0.001

Cervical cancer status

0.676

0.473-0.967

0.001

Model 2

 

 

 

Age (18-29 vs. 50-59)

1.34

1.283-1.400

< 0.001

Smoking status (Former vs. never smoker)

1.17

1.010-1.355

< 0.001

Race (Black AA vs. Whites)

0.536

0.440-0.652

< 0.001

Cervical cancer status

0.709

0.470-1.070

< 0.001

High income

1.34

1.120-1.605

< 0.001

High educational level

1.27

0.995-1.622

< 0.001

Marital status (Married vs. non-married)

1.128

0.834-1.526

< 0.001

Health insurance

0.379

0.306-0.469

0.001

Health status (Excellent vs. poor)

1.361

0.969-1.911

< 0.001

Interaction: smoking and diagnosis is cervical cancer

3.9

2.134-5.234

0.001

Model 3

 

 

 

Age (18-29 vs. 50-59)

1.349

1.297-1.402

0

Smoking status (current smoker vs. never smoker)

0.534

0.461-0.619

0

Race

0.619

0.517-0.741

0

Cervical cancer status

0.771

0.402-1.479

< 0.001

High income

1.427

1.1195-1.703

< 0.001

Educational level

1.346

1.056-1.716

< 0.001

Marital status

1.12

0.827-1.517

< 0.001

Health insurance

0.38

0.307-0.471

0.001

Interaction: smoking and diagnosis cervical cancer

3.9

2.134-5.234

0.001