Proper

Abstract

This study was to investigate the degree of postpartum depression. E - mail and telephone tracking were performed on 130 mothers who delivered within 2 months after birth. The collected data were analyzed using SPSS WIN 22.0 program and Amos 20.0 program. The results of the evaluation of the fitness indices of postpartum depression prediction model showed that all the fit index indices were in good agreement. The predictive power of predictors of postpartum depression was 69% in this model. Postpartum depression prediction model confirmed that perineal discomfort, postpartum anxiety, spousal support, and physical fatigue were important factors in postpartum depression and symptom severity and this suggests an intervention plan to prevent and promote postpartum depression early.