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兰州市6825例住院孕产妇不良妊娠结局危险因素的logistic回归分析 被引量:13

Risk Factor Logistic Regression on Adverse Pregnancy Outcomes of 6825 Hospitalized Pregnant Women in Lanzhou City
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摘要 目的分析兰州市住院孕产妇不良妊娠结局的发生情况,和造成不良妊娠结局的危险因素,为优生优育提供依据。方法采用整群随机抽样法抽取兰州市两所综合医院和一所专科医院2004年1月至2005年12月产科住院孕产妇病历共计6825份进行回顾性分析。结果 2004~2005年度兰州市住院孕产妇不良妊娠结局的发生率为14.65%。单因素非条件logistic回归分析结果显示,不良妊娠结局与既往胎次、既往产次、流产史、异常妊娠史、既往患病史等因素呈显著相关性;多因素非条件logistic回归分析结果显示,不良妊娠结局仍然与异常妊娠史和既往胎次呈正相关,具有统计学意义。结论兰州市住院孕产妇不良妊娠结局的发生率偏高,异常妊娠史和既往胎次是兰州地区孕产妇不良妊娠结局发生的主要危险因素。 Objective To investigate the adverse pregnant outcomes of hospitalized pregnant women in Lanzhou city,and analyze the corresponding risk factors and provide basis for the further research on better child-bearing and child-rearing.Methods In two provincial-level hospitals and one provincial-level specialized hospital,the method of cluster random sampling was applied to extract 6 825 medical records from January 2004 to December 2005.The relevant information was abstracted and correlative analyses were undertaken.Results The incidence of adverse pregnancy outcomes for the hospitalized pregnant women in Lanzhou city was 14.65%.Single-factor unconditional logistic regression analyses displayed that the variables with statistical significance were the number of previous pregnancies,the number of previous child delivery,abortion history,abnormal gestation history,and past medical history,whereas multi-factor unconditional logistic regression analyses revealed that the adverse pregnancy outcomes were positively correlated with abnormal gestation history and the number of previous pregnancies with statistical significance.Conclusion The incidence of adverse pregnancy outcomes for the hospitalized pregnant women in Lanzhou city is quite high.Abnormal gestation history and the number of previous pregnancies are the main risk factors for the adverse pregnancy outcomes.
出处 《中国循证医学杂志》 CSCD 2011年第5期505-507,共3页 Chinese Journal of Evidence-based Medicine
基金 国家自然科学基金资助项目(编号:30571604)
关键词 不良妊娠结局 危险因素 非条件LOGISTIC回归分析 Adverse pregnancy outcome Risk factor Unconditional logistic regression analysis
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