• 医学文献
  • 知识库
  • 评价分析
  • 全部
  • 中外期刊
  • 学位
  • 会议
  • 专利
  • 成果
  • 标准
  • 法规
  • 临床诊疗知识库
  • 中医药知识库
  • 机构
  • 作者
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

医学文献>>
  • 全部
  • 中外期刊
  • 学位
  • 会议
  • 专利
  • 成果
  • 标准
  • 法规
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
热搜词:
换一批

围孕期空气污染物暴露与妊娠期糖尿病的关联研究

Prospective cohort study on association between peri?conceptional air pollution exposure and gestational diabetes mellitus

摘要目的 探讨围孕期主要空气污染物暴露与妊娠期糖尿病(GDM)的关联.方法 2015年3月至2018年4月,在合肥市第一人民医院、安徽医科大学第一附属医院和安徽省妇幼保健院招募4 817名孕妇为研究对象.通过问卷调查收集人口学特征、健康状况和生活方式等信息,根据《中国2型糖尿病防治指南(2017版)》诊断GDM.采用多因素logistic回归模型分别分析孕前期(孕前12周)和孕早期(末次月经至孕12周)空气污染物(PM2.5、PM10、SO2、NO2、CO)月平均浓度值和高浓度污染物暴露时间与GDM患病的关联.结果 研究对象年龄为(29.14±4.19)岁,GDM的患病率为21.4% (1 030例).多因素logistic回归模型分析结果显示,调整相关混杂因素后,与孕前期不处于高浓度污染物暴露期相比,随高浓度污染物暴露时间的延长,GDM发生风险逐步增加(χ2=61.28,P趋势<0.001),暴露时间为1、2和3个月的OR(95%CI)值分别为1.42(1.10~1.84)、1.73(1.29~2.33)和2.51(1.75~3.59).孕前期PM2.5和PM10月平均浓度值分别每升高10 μg/m3,GDM的患病风险OR(95%CI)值分别为1.14(1.08~1.20)、1.13(1.08~1.19);SO2和CO分别每增加1 μg/m3和0.10 mg/m3,GDM的患病风险OR(95%CI)值分别为1.03(1.01~1.05)、1.07(1.01~1.13).孕早期SO2月平均浓度值每增加1 μg/m3, GDM的患病风险OR(95%CI)值为1.02(1.01~1.05).结论 孕前期PM2.5、PM10、SO2和CO暴露和孕早期SO2暴露与GDM患病风险间有关联.

更多

abstractsTo explore the association between the exposure to major air pollutants in pre?pregnancy and early pregnancy (peri?conceptional period) and gestational diabetes mellitus (GDM). Methods From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check?ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM2.5, PM10, SO2, CO and NO2) during different periods of pre?pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high?concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre?pregnancy (χ2=61.28, Ptrend<0.001) with the OR (95% CI ) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre?pregnancy period, in every 10 μg/m3 increase of PM2.5 and PM10, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively;for each increase of 1 μg/m3 and 0.10 mg/m3 of SO2 and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m3 increase in the average concentration of SO2 in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM2.5, PM10, SO2 and CO exposure during the pre?pregnancy and SO2 exposure in first trimester were positively correlated with the risk of GDM.

More
广告
栏目名称 论著
DOI 10.3760/cma.j.issn.0253-9624.2019.08.004
发布时间 2020-05-07
基金项目
国家自然科学基金 安徽省高校优秀青年人才基金重点项目 安徽省学术和技术带头人后备人选科研资助项目 安徽省科技厅公益性技术应用联动基金(1704F0804026) Fund program: National Natural Science Foundation of China Key Projects of Excellent Young Talents Fund in universities of Anhui Province Anhui Academic and Technical Leaders Reserve Talents Research Funding Project Anhui Provincial Science and Technology Department Public Welfare Technology Application Linkage Fund
  • 浏览505
  • 下载208
中华预防医学杂志

中华预防医学杂志

2019年53卷8期

817-823页

MEDLINEISTICPKUCSCDCA

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

扩展文献

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷