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早产影响因素的前瞻性队列研究
引用本文:石英杰,湛永乐,陈云利,江宇,马良坤.早产影响因素的前瞻性队列研究[J].中华疾病控制杂志,2021,25(2):143-148.
作者姓名:石英杰  湛永乐  陈云利  江宇  马良坤
作者单位:100730北京,中国医学科学院/北京协和医学院群医学及公共卫生学院流行病与生物统计学系;100730北京,中国医学科学院/北京协和医学院北京协和医院妇产科
基金项目:中国医学科学院医学与健康科技创新工程(2019-I2M-2-007)。
摘    要:  目的  分析中国早产的流行现状及危险因素,为早产的预防提供参考依据。  方法  本研究数据来源于中国孕产妇队列研究·协和项目(Chinese Pregnant Women Cohort Study, CPWCS),通过问卷调查和医院信息系统(hospital information system, HIS)收集孕妇基本情况和分娩结局。采用SPSS 26.0软件进行χ2检验和多因素Logistic回归分析模型分析。  结果  5 671名孕妇中发生早产的例数为295例,占5.2%,不同地区早产率差异无统计学意义(χ2 =0.591, P=0.771)。多因素分析结果显示:高龄、糖尿病史、早产史、胎盘早剥、胎膜早破、胎儿宫内窘迫、妊娠期高血压以及双胎是早产的危险因素(均有P < 0.05),而在自然分娩的孕妇中,高龄(OR=2.90, 95% CI: 1.67~5.06, P < 0.001)、胎膜早破(OR=6.17, 95% CI: 4.21~9.06, P < 0.001)、双胎(OR=17.72, 95% CI: 3.23~97.25, P=0.001)是早产的主要危险因素。  结论  早产的影响因素较多,准确识别危险因素,为孕妇提供科学合理的健康教育和个性化的防治措施是预防早产的重要手段。

关 键 词:孕妇  早产  危险因素  队列研究
收稿时间:2020-09-01

Influencing factors of preterm birth: a prospective cohort study
SHI Ying-jie,ZHAN Yong-le,CHEN Yun-li,JIANG Yu,MA Liang-kun.Influencing factors of preterm birth: a prospective cohort study[J].Chinese Journal of Disease Control & Prevention,2021,25(2):143-148.
Authors:SHI Ying-jie  ZHAN Yong-le  CHEN Yun-li  JIANG Yu  MA Liang-kun
Institution:1.Department of Epidemiology and Biostatistics, School of Population Medicine and Public health, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China2.Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
Abstract:Objective To analyze the prevalence and risk factors of preterm birth in China and to provide reference for the prevention of preterm birth. Methods Data was from the Chinese Pregnant Women Cohort study(CPWCS). The basic information and delivery outcomes of pregnant women were collected through questionnaire surveys and hospital information system. The chi-square test and multivariate logistic regression analysis were conducted by SPSS 26.0 software. Results The prevalence of preterm birth among 5 671 pregnant women was 5.2%, and there was no significant difference in the prevalence of preterm birth among different regions(χ2=0.591, P=0.771). The results of multivariate logistic regression analysis showed that advanced age, history of diabetes, history of premature birth, placental abruption, premature rupture of membranes, fetal distress, hypertension during pregnancy, and twins were risk factors for preterm birth(all P<0.05), while among pregnant women who give birth naturally, advanced age(OR=2.90, 95% CI: 1.67-5.06, P<0.001), premature rupture of membranes(OR=6.17, 95% CI: 4.21-9.06, P<0.001), and twins(OR=17.72, 95% CI: 3.23-97.25, P<0.001) were risk factors for preterm birth. Conclusions There are many influencing factors of preterm birth. Accurately identifying risk factors and providing pregnant women with scientific and reasonable health education and individualized prevention and control measures are important means to prevent preterm birth.
Keywords:Pregnant women  Preterm birth  Risk factors  Cohort study
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