Statistical analyzes
REGRESSION
The data analyzed by IBM SPSS statistics version 25 and p-value > 0.05 was considered as a statistically significant level. To compare statistical differences of demographic data in intervention and control groups, an independent t-test, Chi-square test, and Fisher’s exact test were used. The repeated-measures analysis of variance (ANOVA) was used to compare the mean score of FOC between intervention and control groups at different time points (baseline, after 8 weeks, after childbirth). Linear regression models used to estimate the change in FOC and self-efficacy score in the intervention group compared to the control group in different time points. Also, for analyzing the birth mode, Chi-square were used to determine the differences between the groups. A Logistic regression model was also performed to estimate the odds of CS in the intervention group compared to the control group.