北京大学学报（医学版）2016，Vol.48Issue(3)：414-417,4.DOI:10.3969/j.issn.1671-167X.2016.03.007
孕前体质指数与早产的关系
Relationship between pre-pregnancy body mass index and preterm birth
摘要
Abstract
Objective:To study the relationship between pre-pregnancy body mass index (BMI)and preterm birth.Methods:A case-control study was conducted in Haidian Maternal and Child Health Hos-pital in Beijing from January to April in 201 3.This study contained 1 74 preterm births in the case group and 382 term deliveries in the control group.The height,pre-pregnancy body weight,body weight before delivery,gestational weeks,history of diseases,family history of diseases,and complications during pregnancy of the subjects were collected.Multivariate Logistic regression was used to estimate the odds ratio and 95% confidence intervals (CI)after adjustment by maternal age,education,smoke during pregnancy,primiparous,mean income,and mean family living space.Results:After analyzing the rele-vant risk factors of preterm birth,the multivariate Logistic regression showed that pre-pregnancy obesity was a risk factor for preterm birth,the adjusted odds ratio was 2.461 (95% CI:1 .1 74 -5.1 59,P =0.01 7).The associations between pre-pregnancy overweight and preterm birth or pre-pregnancy under-weight and preterm birth were not found.The gestational diabetes mellitus,pregnancy-induced hyperten-sion,and family history of preterm birth were risk factors for preterm birth,the adjusted odds ratios were 1 .781 (95% CI:1 .025 -3.095,P =0.040),3.831 (95% CI:2.044 -7.1 80,P <0.001 ),and 3.675 (95% CI:1 .358 -9.942,P =0.01 0),respectively.Conclusion:Pre-pregnancy obesity ap-peared to be a risk factor for preterm birth.To decrease the incidence of preterm birth,women should improve preconception care and keep their BMI in a normal range before pregnancy.关键词
人体质量指数/早产/妊娠/体重增长/孕前保健Key words
Body mass index/Premature birth/Pregnancy/Weight gain/Preconception care分类
医药卫生引用本文复制引用
王立芳,周虹,张妍,王燕..孕前体质指数与早产的关系[J].北京大学学报（医学版）,2016,48(3):414-417,4.基金项目
国家自然科学基金（81202216）和北京高等学校青年英才计划项目（YETP0059）资助 Supported by the National Natural Science Foundation of China （81202216）and the Beijing Higher Education Young Elite Teacher Project （）
