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Relationship between pre-pregnancy body mass index and preterm birth / 北京大学学报(医学版)
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-493802
Responsible library: WPRO
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% CI1 .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% CI1 .025 -3.095,P =0.040),3.831 (95% CI2.044 -7.1 80,P <0.001 ),and 3.675 (95% CI1 .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.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Observational study / Risk factors Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2016 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Observational study / Risk factors Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2016 Document type: Article
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