ObjectiveTo explore the influencing factors of early postpartum pelvic floor dysfunction diseases (PFD) in parturients and establish a column chart model for predicting the risk of postpartum PFD based on Lasso-Logistic regression.MethodsA total of 373 women who delivered successfully in the First Hospital of Xingtai from January 2023 to July 2024 were selected as the study objects and divided into modeling cohort group (n=261) and validation cohort group (n=112). All parturients underwent PFD screening at 6-8 weeks postpartum, and a column chart model was constructed in R4.3.1 based on the influencing factors of postpartum PFD screened by Lasso-Logistic regression analysis. Receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and calibration curve were used to evaluate the effectiveness of the model in predicting the risk of postpartum PFD. The clinical application value of model was evaluated by decision curve analysis (DCA).Results72 cases of PFD occurred in the modeling cohort group, 34 cases of PFD occurred in the validation cohort group, and the total incidence of PFD in 373 postpartum women was 28.4%. Compared with the non-PFD group, the average maternal age and average neonatal body mass in the PFD group were higher (P<0.05), and there were statistically significant differences in PFD family history, delivery times, delivery mode, perineal laceration and the second stage of labor between the two groups (P<0.05). Lasso-Logistic regression analysis showed that age of parturients, delivery times, delivery mode, perineal laceration, the second stage of labor, and neonatal body mass were all influencing factors of postpartum PFD (P<0.05). ROC curve analysis showed that the area under the curve (AUC) of the modeling cohort was 0.827 (95% CI: 0.772－0.882), and the AUC of the validation cohort was 0.838 (95% CI: 0.762－0.915). In the Hosmer-Lemeshow test, the modeling cohort showed χ²=7.556, P=0.478; the validation cohort showed χ²=4.680, P=0.791. DCA showed that the model had high value in clinical application.ConclusionThe age of parturients, delivery times, delivery mode, perineal laceration, the second stage of labor, and neonatal body mass are the influencing factors for postpartum PFD. The column chart model established based on these six factors has better predictive performance and it can help guide clinical prevention of postpartum PFD.