中国全科医学 ›› 2018, Vol. 21 ›› Issue (14): 1744-1749.DOI: 10.3969/j.issn.1007-9572.2018.00.113

所属专题: 女性健康最新文章合集

• 专题研究 • 上一篇    下一篇

全面二孩政策下重庆市育龄妇女的生育意愿及其影响因素分析研究

杨晓畅1,蒲川2*   

  1. 1.400016重庆市,重庆医科大学 2.400016重庆市,重庆医科大学公共卫生与管理学院 医学与社会研究中心 健康领域社会风险预测治理协同创新中心
    *通信作者:蒲川,教授,主要研究方向:卫生政策分析、医事法学;E-mail:puchuan68@sina.com
  • 出版日期:2018-05-15 发布日期:2018-05-15
  • 基金资助:
    重庆市哲学社会科学规划项目(2014DY09)

Status and Associated Factors for Second-birth Intentions among Women of Childbearing Age in Chongqing during the Implementation of the Universal Two-child Policy in China 

  1. 1.Chongqing Medical University,Chongqing 400016,China
    2.School of Public Health and Management/Research Center for Medical and Social Development/Innovation Center for Social Risk Governance in Health,Chongqing Medical University,Chongqing 400016,China
    *Corresponding author:PU Chuan,Professor,Main research clirection:health policy analysis,medical jurisprudence;E-mail:puchuan68@sina.com
  • Published:2018-05-15 Online:2018-05-15

摘要: 目的 了解全面二孩政策实施后重庆地区育龄妇女的生育意愿并探究其影响因素。方法 采用分层随机抽样法,分别从重庆市五大功能区中抽取1个区县作为目标区县,在每个目标区县随机选取300~500例育龄妇女进行问卷调查。采用简单随机抽样选取重庆市卫生计生委员会、重庆医科大学附属第一医院的14例工作人员进行专家访谈。采用问卷调查法、深度访谈法对重庆市育龄妇女生育意愿进行调查研究。结果 共发放调查问卷2 000份,回收1 954份,有效问卷1 837份,有效回收率为94.0%。育龄妇女的平均理想生育子女数为1.74个,有二孩生育意愿的育龄妇女936例(50.9%)。不同年龄、学历、家庭人均月收入、婚龄、家庭类型、已育子女数的育龄妇女的二胎生育意愿比较,差异均有统计学意义(P<0.05)。生育目的选择“自己的意愿”的育龄妇女498例(27.1%)。访谈结果显示,经济因素是影响二孩生育意愿的主要因素。已生育1孩的育龄妇女1 068例(58.1%),该人群中,愿意生育二孩的比例为46.3%(495/1 068);愿意生育二孩的主要原因是自己的意愿、更利于孩子的成长,不愿意生育二孩的主要原因是经济压力太大、没有时间和精力照顾小孩。不同年龄、家庭人均月收入的育龄妇女理想子女数比较,差异有统计学意义(P<0.000 1)。结论 随着全面二孩政策放开,重庆市育龄妇女的生育意愿较以往有一定提高,但低于全国生育水平。生育政策对生育意愿的影响不明显,经济因素是影响生育意愿的主要因素。

关键词: 政府政策, 全面二孩政策, 育龄妇女, 生育意愿, 影响因素分析

Abstract: Objective To explore the status and associated factors for second-birth intentions among women of childbearing age in Chongqing during the implementation of the universal two-child policy in China.Methods We implemented this study by using questionnaire,in-depth expert interviews.The questionnaire survey was conducted in a random sample of 2 000 women of childbearing age from 5 districts/counties(300-500 from each district/county) extracted from the 5 major functional areas of Chongqing(one from each major functional area) by stratified random sampling,and the in-depth expert interviews were carried out among 14 relevant health workers randomly selected from Chongqing Health and Family Planning Commission and the First Affiliated Hospital of Chongqing Medical University.Results 1 954 questionnaires were returned,and 1 837 of them were responsive,achieving a response rate of 94.0%.The women thought that the average ideal number of children was 1.74,and 936(50.9%) of them wanted to have a second child.The second-birth intentions differed significantly by age,educational attainment,household monthly income per person,number of years of marriage,type of family that the couple born in,and number of children ever born(P<0.05).498(27.1%) wanted to have a second child out of their own will.Interviews showed that second-birth intentions were influenced the most by economic constraints.495(46.3%) of 1 068(58.1%) with a child wanted to have a second child.Wanting to have a second child was owing to one's own will and the thought of having a second child can promote the growth of both children,while no intention to have a second child was due to great economic burden and lack of time and energy to care a second child.The number of ideal children of women of childbearing age at different age and family per capita monthly income was statistically significant(P<0.000 1).Conclusion With the implementation of the two-child policy,the proportion of women of childbearing age with the intention of having a second child in Chongqing has increased to a certain extent,but is lower than the national level.Moreover,second-birth intentions are found to be boosted insignificantly by the implementation of this policy,while they were affected significantly by economic constraints.

Key words: Public policy, Universal two-child policy, Women at child-bearing age, Fertility intention, Root cause analysis