The dataset of 448 multiparous women cases

(4) Neonatal characteristics included the weight of newborn(kg). (5) Medical history characteristics included history of the precipitate delivery, the prematurity, the macrosomia, the abnormal second stage and the mode of previous labor and the variable of outcome(precipitate delivery). The meaning of column headers was every single patient.SPSS 26.0 was employed for statistical analysis.

Quantitative data that conformed to or approximated a normal distribution were described as mean ± standard deviation. The independent samples t-test was used for comparison between two groups. If else, it was described as M (P25, P75) and the Mann-Whitney U test was used for comparison between two groups.

Qualitative data were described as cases (%) and group comparison was performed using the c2 or Fisher test. The Boruta package of R4.3.3 was employed to identify pertinent variables and these were integrated with variables exhibiting a p value of less than 0.05 from univariate analysis to serve as the independent variables in the multicollinearity analysis. The VIF was utilized to access the potential multicollinearity, with a VIF exceeding 5 indicating the presence of covariance among the variables.

Subsequently, logistic regression analysis was conducted to identify the influencing factors, with a p< 0.05 considered statistically significant.In this dataset, the NCA package of R4.3.3 was initially to employed to analyze the necessity of the factors affecting the occurrence of precipitate delivery in multiparous women. Subsequently, fsQCA4.1 was applicated to explore the key conditional configurations of precipitate delivery in multiparous women by using the crisp-set qualitative comparative analysis(csQCA).