Table 2.
Characteristics | Odds ratio (95% CI) | p value |
---|---|---|
Age | 0.95 (0.87–1.04) | .259 |
Race/ethnicity± | ||
White | Reference | |
Black | 2.79 (0.54–14.51) | .222 |
Hispanic | 2.48 (0.68–9.03) | .167 |
Parity | 1.07 (0.74–1.55) | .708 |
STI history | ||
No | Reference | |
Yes | 2.64 (1.01–6.90) | .048* |
Based on bivariate logistic regression analysis, we could not build multivariate logistic regression models due to the small number of failure of insertion for participants. Dependent variable: Failure to insert (no failure=0, failure =1).
Independent variables: age (continuous), race/ethnicity (non-Hispanic white, non- Hispanic black, Hispanic), parity (continuous), STI history (no STIs=0, one or more STIs=1).
CI= Confidence intervals
We excluded Asian women due to the small sample size of this group
Statistically significant at the p≤ .05 level.