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Analysis on the risk factors of maternal weight for fetal macrosomia / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 982-984, 2008.
Article in Chinese | WPRIM | ID: wpr-298342
ABSTRACT
Objective To investigate the relationship between maternal weight gain and the increasing speed of weight in different pregnant terms and macrosomia.In order to reasonably manage pregnancy and decrease the morbidity of maerosomia.Methods 106 newborns whose birth weights were equal to or greater than 4000 g were specified as macrosomia,while 106 newborn with birth weights lying in 2500-3999 g were under the control group.A case-control study was conducted to compare the corresponding factors such as maternal BMI.weight before pregnancy and the change of weight during pregnancy respectively.Results Indicated by both simple and multiple unconditional logistic regression analysis,the cause of fetal macrosomia Was mainly associated with the factors including the maternal weight before pregnancy(OR=2.204,95%CI1.377-3.529),matemal weight gain in 12-pregnant weeks(kgper week)(OR=1.961,95%CI1.204-3.194),maternal weight gain in 20-gestation weeks(kg perweek)(OR=1.811,95%CI1.078-3.041),maternal weight gain in 30-pregnant weeks(kg per week)(OR=1.858,95%CJ1.095-3.153)and virile newborn(OR=2.630,95%CJ1.420.4.850.When in 30-pregnant weeks.the pregnant women with 0.5-1.0 kg weight gain per week had 1.13 fold risks comparing to those whose weight gains were lexq than 0.5 kg per week.Conclusion Maternal weight before pregnancy,weight gain during pregnancy and fetal sex appeared a closer relation to macrosomia.It is necessary to monitor the change of maternal weight during different pregnancy periods,especially for the 30th-pregnant weeks.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2008 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2008 Type: Article