Factors included in multiple logistic regression model were found to be statistically significant (*p* < 0.05) in bivariate analysis. RC, reference category; AOR, adjusted odds ratio; 95% CI, 95% confidence interval; \* *p* < 0.05; \*\* *p* < 0.01.

#### *2.3. Factors Associated with Breastfeeding Status*

Results presented in Table 4 indicate that for both Australian-born and refugeebackground women, the prevalence of breastfeeding at discharge was significantly higher for those who obtained post-school qualifications and were employed (*p* < 0.05). For both groups of women, the association of breastfeeding status with age and IPV exposure was not found to be statistically significant (*p* > 0.05). A positive association between ANE utilization and breastfeeding rates was observed in both groups of women. However, the data showed that this association was not statistically significant (*p* > 0.05).

AORs from multiple logistic analyses presented in Table 5 revealed that, amongst refugee-background women, none of the predictors were statistically significant (*p* > 0.05). However, Australian-born women with post-school level of education are three times more likely to be breastfeeding at discharge (diploma and vocational education—AOR: 3.26, 95% CI, 1.72–6.18, *p* < 0.01. University degree—AOR: 2.61, 95% CI, 1.43–4.74, *p* < 0.01).


**Table 4.** Association of sociodemographic characteristics, intimate partner violence, and antenatal education visits with breastfeeding rates for women born in Australia and women born in conflictaffected countries.

**Table 5.** Associations of sociodemographic characteristics and intimate partner violence (IPV) with breastfeeding at discharge: adjusted odds ratios (AOR) with 95% confidence interval (95% CI) from logistic regression analysis for women born in Australia and women born in conflict-affected countries.

