Author:
Alberico Salvatore,Montico Marcella,Barresi Valentina,Monasta Lorenzo,Businelli Caterina,Soini Valentina,Erenbourg Anna,Ronfani Luca,Maso Gianpaolo,
Abstract
Abstract
Background
It is crucial to identify in large population samples the most important determinants of excessive fetal growth. The aim of the study was to evaluate the independent role of pre-pregnancy body mass index (BMI), gestational weight gain and gestational diabetes on the risk of macrosomia.
Methods
A prospective study collected data on mode of delivery and maternal/neonatal outcomes in eleven Hospitals in Italy. Multiple pregnancies and preterm deliveries were excluded. The sample included 14109 women with complete records. Associations between exposure variables and newborn macrosomia were analyzed using Pearson’s chi squared test. Multiple logistic regression models were built to assess the independent association between potential predictors and macrosomia.
Results
Maternal obesity (adjusted OR 1.7, 95% CI 1.4-2.2), excessive gestational weight gain (adjusted OR 1.9, 95% CI 1.6-2.2) and diabetes (adjusted OR 2.1, 95% CI 1.5-3.0 for gestational; adjusted OR 3.0, 95% CI 1.2-7.6 for pre-gestational) resulted to be independent predictors of macrosomia, when adjusted for other recognized risk factors. Since no significant interaction was found between pre-gestational BMI and gestational weight gain, excessive weight gain should be considered an independent risk factor for macrosomia. In the sub-group of women affected by gestational or pre-gestational diabetes, pre-gestational BMI was not significantly associated to macrosomia, while excessive pregnancy weight gain, maternal height and gestational age at delivery were significantly associated. In this sub-population, pregnancy weight gain less than recommended was not significantly associated to a reduction in macrosomia.
Conclusions
Our findings indicate that maternal obesity, gestational weight gain excess and diabetes should be considered as independent risk factors for newborn macrosomia. To adequately evaluate the clinical evolution of pregnancy all three variables need to be carefully assessed and monitored.
Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynaecology
Reference27 articles.
1. Mokdad AH, Serdula MK, Dietz WH: The spread of the obesity epidemic in the United States, 1991–1998. JAMA. 1999, 282: 1519-1522. 10.1001/jama.282.16.1519.
2. CDC. Division of Diabetes Translation: Maps of Diabetes and Obesity in 1994, 2000, and 2009. 2010, National Diabetes Surveillance System, [http://www.cdc.gov/diabetes/statistics/slides/maps_diabetesobesity94.pdf]. Accessed 22 January 2014
3. Kabali BC, Werler MM: Pre-pregnacy body mass index, weight gain and the risk of delivering large babies among non-diabetic mothers. Int J Gynecol Obstet. 2007, 97: 100-104. 10.1016/j.ijgo.2007.02.001.
4. Ay L, Kruithof CG, Bakker R: Maternal anthropometrics are associated with fetal size in different periods of pregnancy and at birth. The generation R Study. BJOG. 2009, 116: 953-963. 10.1111/j.1471-0528.2009.02143.x.
5. Jensen DM, Ovesen P, Beck-Nielsen H: Gestational weight gain and pregnancy outcomes in 481 obese glucose-tolerant women. Diabetes Care. 2005, 28: 2118-2122. 10.2337/diacare.28.9.2118.
Cited by
171 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献