Objectives To analyze the risk factors for preterm birth in Xuhui district. Methods The information of all infants who were born in Xuhui district hospitals in Shanghai from January 1,2006 to December 31,2012 were collected.According to the case-control study,the risk factors for preterm newborns were analyzed using univariate unconditional Logistic regression analysis and multivariate unconditional Logistic regression analysis. Results A total of 38 585 births were included from 2006 to 2012.The incidence of preterm birth was 5.81%.One-factor unconditional Logistic regression suggested birth defects,gestation,parity,production times,maternal age,and paternal age as possible risk factorS for preterm delivery.Finally,the step forward Method of multiple unconditional Logistic regression were used.The result turned out to be significant for the factors of maternal age,birth defects,and number of child,with the respective odds rations of 1.041(95%CI:1.029~1.054),2.362 (95%CI:1.621~3.442),31.325(95%CI:27.200~36.074). Conclusion Maternal age,multiple births and birth defects will increase the risk of preterm birth.
Key words
preterm birth /
risk factors /
Logistic regression
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