Statistical analysis
REGRESSION
For quantitative variables, the absolute and relative frequency of the selected categories were estimated and the mean and standard deviation were used as measures of central tendency and dispersion for continuous variables, respectively.To analyze the association between the selected variables and the outcome, bivariate and multivariate logistic regression models were used. Analyses were performed in Stata 13 (For bivariate regression models, odds ratios (OR) were estimated for each category of predictor variables, while multivariate models considered adjusted odds ratios (aOR), 95% confidence intervals (95%CI), and p-value. The following categories of predictor variables were aggregated: schooling level (< 12 and ≥ 12 years of complete education); age (< 35 and ≥ 35 years old); and race/skin color (“other” referring to Asian and indigenous women). For statistical decision-making, in the final model, variables with p < 0.05 were considered significant.