摘要
目的:探讨大气细颗粒物(PM2.5)及其组分与小于胎龄儿(SGA)发病风险的关联.方法:基于国家免费孕前优生健康检查数据库2013年河南省的母婴数据进行分析,使用logistic回归模型分析孕妇妊娠各时期PM2.5及其组分暴露对SGA的影响.结果:在调整一般人口学资料、生活方式和健康行为、妊娠情况和环境温度变量后,以第一分位数PM2.5浓度为参照,孕早期、孕中期、孕晚期和全孕期暴露于第四分位数PM2.5浓度分娩SGA的风险分别增加58.2％(OR=1.582,95％CI 1.44～1.738)、35.4％(OR=1.354,95％CI 1.235～1.483)、30.1％(OR=1.301,95％CI 1.189～1.423)和45.9％(OR=1.459,95％CI 1.363～1.561).以第一分位数浓度暴露为参照,全孕期黑炭、有机物、铵盐、硝酸盐和硫酸盐第四分位数浓度暴露与分娩SGA风险增加均有关(P＜0.05).结论:妊娠各时期孕妇避免PM 2.5暴露均能降低SGA发生风险.
Abstract
Objective:To investigate the association between the fine particulate matter(PM2.5)exposure and its com-ponents for pregnant women and their risk of small for gestational age(SGA)in Henan province.Methods:A analysis was conducted on the maternal and infant data from the database of the women in Henan Province who had participated in National Free Preconception Health Examination Program(NFPHEP)in 2013.Logistic regression models were used to analyze the effects of the PM2.5 exposure of the pregnant women during different trimesters of pregnancy and the PM2.5 components during the entire trimester on their SGA.Results:After adjusting for the general demographic data,lifestyle,health behavior,pregnancy conditions and environmental temperature variables,compared to the expo-sure to the first quartile of PM2.5 concentration,the risk of delivering SGA of the women with the exposure to the fourth quartile of PM2.5 concentration during the first,the second and the third of pregnancy,and throughout the en-tire pregnancy had increased by 58.2％(OR=1.582,95％CI 1.44-1.738),35.4％(OR=1.354,95％CI 1.235-1.483),30.1％(OR=1.301,95％CI 1.189-1.423),and 45.9％(OR=1.459,95％CI 1.363-1.561),respectively.Compared to the exposure to the first quartile of PM2.5 concentration,the risk of the delivering SGA of the women with the exposure to the fourth quartile of concentration of black carbon,organic matter,ammonium,nitrate and sul-fate had increased(P＜0.05).Conclusion:Avoiding PM2.5 exposure of the pregnant women during each trimester of pregnancy can reduce the risk of their SGA occurrence.
基金项目
国家重点研发计划(2016YFC1000102)
河南省重点研发与推广专项(JBKY2021007)
资源与环境信息系统国家重点实验室开放基金()
维普
万方数据