Table 4.
Ordinal logistic regression to measure association between demographic factors and cytology diagnosis, and Total Impact Score. Jujuy, 2015–2016.
| Factors | Value | Std. Error | OR | CI | p value |
|---|---|---|---|---|---|
| Education level | |||||
| Primary level | Ref | ||||
| Secondary level | −0.58 | 0.60 | 0.56 | 0.17–1.83 | 0.3397 |
| Tertiary/University | −0.72 | 0.59 | 0.49 | 0.15–1.56 | 0.2291 |
| Number of partners | |||||
| One | Ref | ||||
| Two or more | 0.04 | 0.38 | 1.04 | 0.48–2.24 | 0.9121 |
| Cytology result | |||||
| Normal | Ref | ||||
| Abnormal | 1.07 | 0.37 | 2.92 | 1.42–6.07 | 0.0036 |
| Age | −0.04 | 0.02 | 0.95 | 0.92–0.99 | 0.0363 |
| Intercept | |||||
| [Not at all.little]|(Little.Some] | −3.09 | 1.14 | 0.05 | 0.0069 | |
| (Little.Some]|(Some.Much] | −0.77 | 1.11 | 0.46 | 0.4916 |