Maternal pre‐pregnancy body mass index, gestational weight gain trajectory, and risk of adverse perinatal outcomes

Author(s):  
Haibo Li ◽  
Chong Miao ◽  
Liangjie Xu ◽  
Haiyan Gao ◽  
Meng Bai ◽  
...  
2019 ◽  
Author(s):  
Hanqing Chen ◽  
Suhua Zou ◽  
Zhuyu Li ◽  
Jianbo Yang ◽  
Jian Cai ◽  
...  

Abstract Background Pre-pregnancy body mass index and gestational weight gain were related to perinatal outcomes. It was not know the changes of pre-pregnancy body mass index, weight gain during pregnancy and its effect on perinatal outcomes in two-child women.Methods This was a retrospective study. Data of single term women delivered in the First Affiliated Hospital of Sun Yat-sen University were collected from July 2017 to June 2018. Gestational weight gain criteria of the American Institute of Medical Research and pre-pregnancy body mass index classes were used to evaluate the effects on pregnancy outcomes.Results A total of 3049 cases were enrolled in the study. Overweight cases was 9.0% and obesity was 2.4%. The weight gain of the two-child women was less than that of primipara(12.4±3.9vs13.3±4.0kg, P<0.001). The proportion of primipara with excessive weight gain was higher compared to two-child women(20.1%versus17.3%, P<0.001). There were 40.0% overweight primipara and 55.2% of two-child women had excessive weight gain. And 40.5% primipara and 54.5% two-child women of obesity had excessive weight gain during pregnancy. Obese primipara increased the risk of pre-eclampsia (aOR2.38, 95%CI 0.76-7.46). And the odds of diabetes mellitus and large for gestational age also increased in this group (aOR3.49, 95%CI 1.46-8.35 and aOR7.65, 95%CI 1.83-31.97, respectively). Two-child women had similar results. Underweight primipara with excessive weight gain increased the pre-eclampsia risk (aOR2.26, 95%CI 0.29-17.46). Normal weight and overweight/obese primipara also had similar results. But in two-child women, only overweight/obesity increased the risk of pre-eclampsia (aOR2.01, 95%CI 0.41-9.98). Underweight two-child women with less weight gain increased the risk of diabetes(aOR2.06, 95%CI 0.43-9.8). Two-child women with overweight/obese increased the odds of LGA even if they had less weight gain(aOR2.58, 95%CI 0.11-63.22). Normal weight primipara and two-child women with overweight and obese with excessive weight gain had similar results. On the other way, underweight primipara with less weight gain increased the risk of SGA(aOR1.74, 95%CI 0.81-3.76).Conclusions Gestational weight gain of two-child women was less than primipara. Overweight/obese women with excessive weight gain of two-child women increased the risk of adverse outcomes.


2011 ◽  
Vol 89 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Erika Ota ◽  
Megumi Haruna ◽  
Motoi Suzuki ◽  
Dang Duc Anh ◽  
Le Huu Tho ◽  
...  

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Mari S Oba ◽  
Yoshitaka Murakami ◽  
Michihiro Sato ◽  
Takahisa Murakami ◽  
Noriyuki Iwama ◽  
...  

Abstract Background Both pre-pregnancy body mass index and total weight gain during pregnancy are known risk factors for perinatal outcomes. However, little is known if repeated measurements of gestational weight gain can be utilized in the prediction of perinatal outcomes. We examined whether repeated measures of gestational weight improve the prediction of low infant birthweight. Methods Using data from the BOSHI study, we developed prediction models with low infant birthweight (&lt;2500 g) as the outcome and gestational weight gain as the exposure of interest. A prediction model (Model 1) using only baseline values (pre-pregnancy body mass index) as the exposure was compared with a model using baseline and the last weight measurement (Model 2) and a model using baseline and trimester-specific measurements (Model 3). Model performance was assessed using c-statistics, Brier scores, and calibration plots. Results Among women who experienced full-term deliveries and had measured weights, the proportion of low infant birthweights was 5%. The c-statistics of Model 1, Model 2, and Model 3 were 0.78, 0.81, and 0.83, respectively. Other assessments were relatively unchanged. The extent of predictive performance improvement depends not only on the exposure-outcome associations but correlations among exposure measurements. Conclusions The inclusion of repeated gestational weight measurements in a model for predicting low infant birthweight only produced a marginal improvement in predictive performance. Key messages The prediction of low infant birthweight is not substantially improved by using repeated measurements of gestational weight.


2019 ◽  
pp. 01-07
Author(s):  
Magdalena Smyka ◽  
Katarzyna Kosinska- Kaczynska ◽  
Damian Warzecha ◽  
Miroslaw Wielgos

Aim: To evaluate the effects of gestational weight gain on perinatal outcomes in woman with excessive pre-gravid body mass index. Material and Methods: The study group consisted of 197 overweight or obese women who delivered full-term newborns at the 1st Department of Obstetrics and Gynecology, Medical University of Warsaw. Group A included 89 (45.2%) women with inadequate or adequate weight gain. Group B included 108 patients (54.8%) with excessive weight gain during pregnancy. Results: No significant differences in the occurrence of gestational diabetes, hypertension or intrahepatic cholestasis between the analyzed groups were observed. Excessive weight gain was positively correlated with the incidence of cesarean delivery (67.6% vs 32.4%, p=0.009), newborns’ birthweight (3627g±519 vs 3406g±521, p=0.009) and the risk of low for gestational age infants (26.9% vs 12.4%, p=0.01). The highest risk of low for gestational age new born was related to gestational weight gain of about 15 kg. Appropriate preconception counselling for overweight and obese women may reduce the risk of low for gestational age infants.


Author(s):  
Chi-Nien Chen ◽  
Ho-Sheng Chen ◽  
Heng-Cheng Hsu

Epidemiological studies have shown that maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) are associated with increased risk of perinatal outcomes. However, the evidence of such associations in Asian populations is limited. We conducted a secondary data analysis to investigate the relationships of prepregnancy BMI and GWG with the risks of adverse perinatal outcomes, including gestational diabetes (GDM), gestational hypertension (GHTN), preeclampsia, cesarean delivery, preterm birth, low birth weight (LBW), and macrosomia. We categorized prepregnancy BMI by the WHO classification and GWG by the Institute of Medicine guidelines. We performed adjusted logistic regression models to estimate the odds ratios of adverse perinatal outcomes. A total of 19,052 women were included; prepregnancy overweight and obesity were associated with a greater risk of GDM, GHTN, preeclampsia, cesarean delivery, preterm birth, and macrosomia. Women with excessive GWG had a greater risk of GHTN, preeclampsia, cesarean delivery, and macrosomia. In conclusion, regardless of the range of GWG during pregnancy, maternal prepregnancy BMI is significantly associated with the risk of adverse perinatal outcomes in Taiwan. Public health attention regarding obesity reduction before conception and prenatal counseling for optimal GWG is needed to mitigate the risk of poor perinatal outcomes.


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