Data analysis
Following data collection from all research units, the data was analyzed using SPSS 24. The K-S test confirmed the normality of the quantitative data. Chi-square, Chi-square for trend, independent-t, and Fisher’s exact tests were used to examine group homogeneity in terms of socio-demographic characteristics. Before the intervention, a t-test was used to compare mean scores on self-esteem and body image, as well as subscales of body image, among the groups; and repeated measures ANOVA with adjusting the baseline score and variables such as participants’ and their spouses’ educational level, participants’ age, and intervals between deliveries was used after intervention. Mauchly’s W was used to validate the repeated measures ANOVA. The Chi-square test was used to compare the frequency of exclusive breastfeeding among the groups. All of the tests were done with the intention-to-treat principle in mind.