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贵阳市2014-2018年危重孕产妇影响因素的Logistic分析
引用本文:刘金英,杨佳熙,陈丽,李佑龙. 贵阳市2014-2018年危重孕产妇影响因素的Logistic分析[J]. 中外女性健康研究, 2021, 0(6): 3-4,66
作者姓名:刘金英  杨佳熙  陈丽  李佑龙
作者单位:贵阳市妇幼保健院
摘    要:目的:分析贵阳市2014-2018年危重孕产妇监测结果,了解危重孕产妇的发生情况及相关影响因素,为降低危重孕产妇发生率提供科学依据.方法:选取2014年1月1日至2018年12月31日贵阳市4家孕产妇监测医院产科入院(若妇产科未分开则为妇产科入院或分娩)的孕产妇病例资料进行研究;采用多因素Logistic回归分析危重孕...

关 键 词:危重孕产妇  发生率  影响因素  Logistic分析

The logistic analysis of influencing factors of critically ill pregnant women in Guiyang City during 2014 to 2018
Liu Jinying,Yang Jiaxi,Chen Li,Li Youlong. The logistic analysis of influencing factors of critically ill pregnant women in Guiyang City during 2014 to 2018[J]. Women‘s Health Research, 2021, 0(6): 3-4,66
Authors:Liu Jinying  Yang Jiaxi  Chen Li  Li Youlong
Affiliation:(Guiyang Maternal and Child Health Hospital,Guizhou, Guiyang 550003)
Abstract:Objective:The monitoring results of critical pregnant and lying-in women from 2014 to 2018 in Guiyang City were analyzed to understand the occurrence of critical pregnant and lying-in women and related influencing factors,so as to provide scientific basis for reducing the incidence of critical pregnant and lying-in women.Methods:Case data of four monitoring hospitals for pregnant and lying-in women in Guiyang City were selected on January 1,2014 and December 31,2018.Multivariate logistic regression was used to analyze the relevant influencing factors of critically ill pregnant women.Results:The 700 cases have been monitored critically ill pregnant women of 121545 pregnant women,with an incidence of 0.5%.Multivariate regression analysis showed that age,marital status,education,number of deliveries,number of antenatal examinations and number of cesarean sections affected the occurrence of critically ill pregnant women.Conclusion:There is a certain relationship between marital status and the occurrence of critically ill pregnant women.With the increase of education level,the incidence of critically ill pregnant women gradually decreases.The number of births and cesarean section in the past are positively correlated with the incidence of critically ill pregnant women.
Keywords:Critically ill pregnant woman  Incidence rate  Factors  Logistic analysis
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