First, bivariate logistic regression models were conducted for each of the dependent and control variables with each of the outcome variables (the HSCL global, anxiety, and depression mean scores).
The association between the predictors and reporting clinically elevated scores on the HSCL and each subscale was tested first by logistic regression.
Those with less education were also more likely to have higher scores across the HSCL and subscales.
Women reporting that they wanted the pregnancy that resulted in a stillbirth were significantly more likely to have elevated scores on the HSCL and subscales.
5 times more likely to report higher scores on the HSCL total and subscale scores.
A step-wise process of entering each variable into a model was used to produce final multivariate models predicting HSCL total and subscale scores.
The three resulting models significantly predicted the HSCL total and subscales scores.