中国儿童保健杂志 ›› 2015, Vol. 23 ›› Issue (5): 539-541.DOI: 10.11852/zgetbjzz2015-23-05-29

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2013年北京市活产新生儿出生体重情况及影响因素分析

裘蕾, 孔元原, 杨海河   

  1. 首都医科大学附属北京妇产医院 北京妇幼保健院, 北京 100026
  • 收稿日期:2014-10-26 发布日期:2015-05-10 出版日期:2015-05-10
  • 通讯作者: 通信作者杨海河
  • 作者简介:裘蕾(1974-), 女, 北京人, 副主任医师, 硕士学位, 主要研究方向为新生儿疾病筛查, 儿童营养等。

Cross sectional study of birth weight of newborn and the influencing factors in Beijing in 2013.

QIU Lei, KONG Yuanyuan, YANG Haihe.   

  1. Beijing Obstetrics and Gynecology Hospital, Affiliate to Capital University of Medical Sciences, Beijing 100026, China
  • Received:2014-10-26 Online:2015-05-10 Published:2015-05-10
  • Contact: YANG Haihe, Email:bjxs@163.com

摘要: 目的 描述2013年北京市活产儿出生体重的分布规律, 并对部分影响因素进行了分析和探讨。方法 对“北京市新生儿疾病筛查信息管理系统”采集的206 498新生儿的出生体重进行描述性分析, 并就性别、孕周、胎数、户籍、出生地点等因素进步比较分析。结果 2013年北京市新生儿的出生体重基本呈正态分布, 平均出生体重为3 350.12 g, 男性平均出生体重3 400.28 g, 女性3 295.64 g, 男性巨大儿的发生率超过10%;随分娩孕周增加, 新生儿出生体重亦增加, 在孕42~43周达到峰值;分娩胎数越多, 平均体重越低;远郊区县出生的新生儿平均出生体重高于城区出生的新生儿。结论 2013年北京市活产新生儿的平均出生体重高于全国平均水平, 新生儿的性别、孕周、胎数、地域会对出生体重产生较明显的影响。

关键词: 出生体重, 新生儿, 影响因素

Abstract: Objective To describe the distribution of birth weight of Beijing in 2013, and identify the influencing factors. Method Informations of 206 498 birth weight were collected form Beijing neonatal screening information management system, and comparative analysis on gender, gestational age, fetal number, residence, regional and other factors were progressed.Results The distribution of the birth weight was normal, the average birth weight was 3 350.12 g, the average birth weight of male was 3 400.28 g, the average birth weight of female was 3 295.64 g.The incidence of fetal macrosomia in male was more than 10%.With the increasing of the gestational age, the birth weight also increased, and reached peak at 42~43 weeks of pregnancy.The average birth weight among single birth newborns was larger than among multiple birth newborns.The average birth weight of newborn in rural area was higher than that in urban area.Conclusion In 2013, the average birth weight in Beijing is higher than the national data, newborn gender, gestational age, multiple and residence will produce more significant impacts.

Key words: birth weight, newborn, influencing factor

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