中国儿童保健杂志 ›› 2017, Vol. 25 ›› Issue (2): 170-173.DOI: 10.11852/zgetbjzz2017-25-02-18

• 临床研究与分析 • 上一篇    下一篇

上海市徐汇区2006-2012年新生儿早产的危险因素分析

王飞1,阚海东2,顾海雁1,陈仁杰2,郭凤霞1,马文娟2   

  1. 1 上海市徐汇区疾病预防控制中心,上海 200237;
    2 复旦大学公共卫生学院,上海 200032
  • 收稿日期:2016-07-12 发布日期:2017-02-10 出版日期:2017-02-10
  • 通讯作者: 陈仁杰,E-mailcrj_1986@163.com
  • 作者简介:王飞(1983-),女,浙江人,中级职称,硕士学位,主要研究方向为出生和死亡流行病学,慢性病调查和预防。

Analysis of risk factors for preterm birth in Xuhui district of Shanghai from 2006 to 2012

WANG Fei1,KAN Hai-dong2,GU Hai-yan1,CHEN Ren-jie2,GUO Feng-xia1,MA Wen-juan2   

  1. 1 Xuhui Center for Disease Control and Prevention,Shanghai 200237,China;
    2 Public Health School of Fudan University,Shanghai 200032,China
  • Received:2016-07-12 Online:2017-02-10 Published:2017-02-10
  • Contact: CHEN Ren-jie,E-mail:crj_1986@163.com

摘要: 目的 了解徐汇区新生儿早产发生的危险因素,为预防早产的发生提供依据。方法 采集徐汇区2006年1月1日-2012年12月31日所有在上海市医院内出生的户籍婴儿信息,根据病例对照研究方法,采用单因素非条件Logistic回归分析和多因素非条件Logistic回归分析方法,分析新生儿早产的危险因素。结果 2006-2012年徐汇区共38 585例婴儿,平均早产发生率为5.81%。单因素非条件Logistic回归分析认为出生畸形、胎次、产次、胎数、母亲年龄、父亲年龄为早产可能的危险因素。最后通过多因素Logistic回归进行分析,采用逐步前进法,认为母亲年龄、出生畸形和胎数是对早产发生有影响,其OR值分别为1.041(95%CI:1.029~1.054)、2.362(95%CI:1.621~3.442)、31.325(95%CI:27.200~36.074)。结论 母亲年龄的增加、多胎以及出生畸形等会增加新生儿早产的危险性。

关键词: 早产, 危险因素, Logistic回归

Abstract: 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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