论文部分内容阅读
目的了解承德市早产发生的现状和影响因素,为探讨可降低早产发生的干预措施提供依据。方法采用现况研究的方法,回顾性分析2011年1月—2015年12月在承德医学院附属医院住院分娩的孕周在26周及以上的活产单胎产妇8 094例,其中早产病例1 285例,足月分娩病例6 809例。内容包括产期保健情况、孕产期并发症/合并症等。产妇人口学特征、妊娠史、孕周采用χ2检验单因素分析以及Logistic回归多因素分析等方法进行统计分析。结果早产发生率为15.86%(1 285/8 094)。早产分娩孕周<27周者占0.7%(9/1 285),27~周者占18.52%(238/1 285),32~周者占22.64%(291/1 285)。34~37周者占58.13%(747/1 285),单因素分析显示不同年龄、不同职业、不同文化程度者发生率差异均有统计学意义,既往妊娠次数不同、既往分娩次数不同者的早产发生率差异均有统计学意义,多元Logistic回归分析,分别以早产、低出生体重、巨大儿、剖宫产为因变量,以单因素分析有统计学意义的指标为自变量进行多元Logistic回归分析,结果显示:年龄<20岁或>40岁、农民职业、文化程度低是早产发生的独立危险因素。结论影响早产发生的因素是多方面的,除进一步提高孕期保健质量,及时发现和处理孕期并发症/合并症外,积极孕前保健,流产后关爱也是减少早产的必要措施。故应把<20岁、>40岁、农民、低受教育程度这作为妊娠期健康教育的重点人群。
Objective To understand the status quo and influencing factors of preterm birth in Chengde and to provide basis for exploring interventions that can reduce preterm birth. Methods A retrospective analysis of 8 094 live births and singleton mothers with gestational weeks of 26 weeks and over at the hospital of Chengde Medical College from January 2011 to December 2015 was retrospectively analyzed. 285 cases, 6 809 cases of full-term delivery. Including the period of health care, maternal complications / complications and so on. Maternal characteristics, pregnancy history, gestational age using χ2 test univariate analysis and multivariate logistic regression analysis were used for statistical analysis. Results The prevalence of preterm birth was 15.86% (1 285/8 094). Preterm delivery of gestational age <27 weeks accounted for 0.7% (9/1 285), 27 ~ week accounted for 18.52% (238/1 285), 32 ~ week accounted for 22.64% (291/1 285). 34 to 37 weeks accounted for 58.13% (747/1 285), univariate analysis showed that the incidence of different ages, different occupations, different education were statistically significant differences in the number of previous pregnancies, the number of previous births of different preterm birth The differences were statistically significant, multivariate Logistic regression analysis, respectively, preterm birth, low birth weight, macrosomia, cesarean section as the dependent variable, univariate analysis of statistically significant indicators as independent variables multivariate Logistic regression analysis The results showed that: the age of <20 years or> 40 years old, peasant occupation, low education level is an independent risk factor for preterm birth. Conclusion There are many factors influencing preterm delivery. In addition to further improving the quality of health care during pregnancy and timely detection and handling of complications / complications during pregnancy, active prenatal care and post-abortion care are also necessary measures to reduce preterm birth. Therefore, it should be <20 years old,> 40 years old, farmers, low education as the focus of health education during pregnancy.