异常妊娠结局危险因素的非条件Logistic回归分析

MULTI—FACTOR UNCONDITIONAL LOGISTIC REGRESSION ANALYSIS ON THE RISK FACTORS OF ABNORMAL PREGNANCY OUTCOMES

对2263名孕妇进行了流行病学调查,随访妊娠结局,对与自然流产、早产、死胎、先天缺陷及胎儿宫内发育迟缓的有关因素进行了多元非条件Logistic回归分析。筛选出分别与这5种异常妊娠结局有关的因素,分析了相应的相对危险度估计值(OR),对分级水平为2级以上的入选因素,分别分析了不同等级的OR,展示了不同等级水平对和其相关的异常妊娠结局危险因素的作用。

Two thousand two hundred and sixty three pregnant women were epidemiologically inquired for the exposure of related factors to abnormal pregnancy outcomes,and their pregnancy outcomes were followed-up.Multi- factor unconditional Logistic regression was employed for the analysis of risk factors of spontaneous abortion,preterm labor,still birth,congenital defects and intrauterine growth retardation. The result shows that abnormal pregnancy history,toxoplasma infection, passive smoking,unhealthy incidents and education are significantly related factors.Besides IUGR,toxoplasma infection is related to any of the 4 abnormal pregnancy outcomes,and that of IgM positive is the main risk factor.Passive smoking is related to dead birth,preterm labor and IUGR.Unhealthy incidents is related to preterm labor,congenital defects and IUGR and education(equal or less than primary school)is related to IUGR.