应用条件Logistic回归分析探讨早产的危险因素

Risk Factors for Preterm Delivery by Logistic Regression Analysis

目的采用条件Logistic回归分析方法探讨早产的危险因素。方法回顾性分析112例早产和按1∶1配比选择的足月产的产妇资料,对可能引起早产的危险因素进行单因素分析以及条件Logistic回归分析。结果单因素分析共筛选出25个可能与早产有关的因素,然后经过条件Logistic回归分析,发现产前检查次数、孕期负性事件、孕期体重增加、孕期吸烟(孕妇或丈夫)、胎膜早破、妊娠高血压综合征、前置胎盘和是否臀位等8个因素与早产有关,其中产前检查次数、孕期体重增加为早产的保护因素,余为危险因素。结论早产是多因素综合作用的结果,应针对危险因素尽早采取综合性控制措施以减少早产的发生。

Objective To analysis the risk factors for preterm delivery by using Logistic regression analysis. Methods A total of 112 cases of preterm delivery were analyzed with 1 ： 1 matched case-control study by conditional Logistic regression a nalysis. Results The main risk factors for preterm delivery included premature rupture of the membranes, pregnancy-induced hypertension（PIH）, placenta previa, breech presentation, maternal or husband smoking frequency during pregnancy and negative life events. It was indicated that an examination before delivery and gaining weight during pregnancy were helpful to decrease the occurrence of preterm delivery. Conclusion Preterm delivery was caused by many complicated factors. Comprehensive measures should be taken to reduce possibility of preterm delivery.