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 |