scholarly journals Associations of neonatal high birth weight with maternal pre-pregnancy body mass index and gestational weight gain: a case–control study in women from Chongqing, China

BMJ Open ◽  
2016 ◽  
Vol 6 (8) ◽  
pp. e010935 ◽  
Author(s):  
Yao Jie Xie ◽  
Rong Peng ◽  
Lingli Han ◽  
Xiaoli Zhou ◽  
Zhengai Xiong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Birth Weight ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Case Control Study ◽  
Case Control ◽  
High Birth Weight ◽  
Gestational Weight ◽  
Control Study

Abstract #534 Influence of Gestational Weight Gain and Pre-Pregnancy Body Mass Index on Birth Weight

2019 ◽  
Vol 25 ◽  
pp. 268-269
Author(s):  
Bolanle Okunowo ◽  
Ifedayo Odeniyi ◽  
Oluwarotimi Olopade ◽  
Olufemi Fasanmade ◽  
Omololu Adegbola ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Birth Weight ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Gestational Weight

scholarly journals Interaction Between Pre-pregnancy Body Mass Index and Gestational Weight Gain to Newborn Outcomes: Results From the VDPM Cohort Study in Indonesia

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 770-770
Author(s):  
Dyah Ayu Larasati Kisworo Putri ◽  
Nur Indrawaty Lipoeto ◽  
Arif Sabta Aji
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Weight Gain ◽  
Birth Weight ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Head Circumference ◽  
Pregnancy Outcomes ◽  
Gestational Weight ◽  
Newborn Outcomes

Abstract Objectives The aim of this study was to analyze the interaction between pre-pregnancy body mass index (PP BMI), gestational weight gain (GWG), and newborn outcomes among pregnant mothers in West Sumatera, Indonesia. Methods This VDPM cohort study was conducted from September 2017 to March 2018 in West Sumatra, Indonesia. We obtained 195 healthy mother-infant pairs. GWG status created by comparing PP BMI and GWG guidelines based on the World Health Organization (WHO). Newborn birth weight, birth length, and head circumference were taken immediately after delivery as pregnancy outcomes. SPSS version 20.0 was used to analyze bivariate and multivariate analysis to assess the interaction between PP BMI and gestational weight gain in pregnancy outcomes with adjusting potential confounders. A P-value less than 0.05 was considered as a significant association. Results Of the 195 mother-infant pairs (Mean 29.66 years) included in the main sample, Most of the mothers had 46.7% normal PP BMI with most of them had an inadequate GWG status during pregnancy with 53.3%. Adequate and excessive GWG statuses were 34.4% and 12.3%, respectively. There was a significant association between PP BMI and GWG (p < 0.01). This study had no interaction between PP BMI and GWG to the newborn outcomes (p > 0.05). Adverse newborn outcomes were not statistically significant among groups. However, mothers who had inadequate GWG status may have significant lower birth weight and head circumference compared to normal and excessive GWG status (p < 0.05). Conclusions This study had no interaction between PP BMI and GWG status to newborn outcomes. However, the GWG status associated with newborn outcomes in birth weight and head circumference level. Further prospective studies with a larger number are required to confirm this finding. Funding Sources Indonesian Danone Institute Foundation.

scholarly journals Association among pre-pregnancy body mass index, gestational weight gain and neonatal birth weight: a prospective cohort study in China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yawen Wang ◽  
Haihui Ma ◽  
Yahui Feng ◽  
Yongle Zhan ◽  
Sansan Wu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Birth Weight ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Gestational Age ◽  
Chinese Women ◽  
Response Analysis ◽  
Gestational Weight ◽  
Neonatal Birth Weight

Abstract Background This study aims to explore the relationships between pre-pregnancy body mass index (BMI), gestational weight gain (GWG), rate of GWG during the second and third trimesters (GWGrate) and birth weight among Chinese women. Methods Women were enrolled by 24 hospitals in 15 different provinces in mainland China from July 25th, 2017 to 26 November 2018. Pre-pregnancy BMI, GWG and GWGrate were calculated and divided in to different groups. The multinomial logistic regression model and restrictive cubic spline model were used to explore the relationships. Results Of the 3585 participants, women who were underweight, had insufficient GWG or GWGrate had 1.853-, 1850- or 1.524-fold higher risks for delivering small-for-gestational-age (SGA) infant compared with women who had normal BMI, sufficient GWG or GWGrate. Women who were overweight/obese, had excessive GWG or GWGrate had 1.996-, 1676- or 1.673-fold higher risks for delivering large-for-gestational-age (LGA) infant. The effects of GWG and GWGrate on birth weight varied by pre-pregnancy BMI statuses. Dose-response analysis demonstrated L-shaped and S-shaped relationships between pre-pregnancy BMI, GWG, GWGrate and neonatal birth weight. Conclusions Pre-pregnancy BMI, GWG or GWGrate were associated with neonatal birth weight among Chinese women. Both body weight before and during pregnancy should be maintained within the recommendations to prevent abnormal birth weight.

Abstract MP59: Associations of Maternal Pre-pregnancy Body Mass Index and Gestational Weight Gain with Offspring Longitudinal Change in BMI

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Gabriella M Lawrence ◽  
Shani Shulman ◽  
Hagit Hochner ◽  
Colleen Sitlani ◽  
Ayala Burger ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Strong Relationship ◽  
Longitudinal Change ◽  
High Birth Weight ◽  
Linear Regression Models ◽  
Gestational Weight ◽  
Chd Risk

Introduction A number of studies have demonstrated significant associations between changes in obesity-related phenotypes and subsequent risk of CHD. While accumulating evidence suggests that maternal pre-pregnancy body mass index (mppBMI) and gestational weight gain (GWG) may impact adult offspring adiposity, no study has examined their associations with longitudinal changes in obesity. Changes in obesity are likely to reflect genetic-environmental interactions and may have important implications for understanding CHD risk. Objectives We examined the associations of mppBMI and GWG with longitudinal change in offspring’s BMI and assessed whether these associations are explained in part by genetic effects. Methods We used a birth cohort of 1400 young adults born in Jerusalem, with extensive archival data as well as clinical information at age 32, and longitudinal change in BMI based on two examinations at ages 17 and 32. Genotyping of mothers and offspring was carried out for 180 candidate genes related to cardio-metabolic outcomes. We created genetic propensity scores using a subset of 388 SNPs from 53 adiposity-related genes that were predictive of the exposures and outcome, and fit linear regression models both with and without genetic scores to examine the associations of mppBMI and GWG with offspring change in BMI. Analyses used inverse probability weighting to account for a stratified sampling scheme (i.e. oversampling of offspring with low and high birth weight as well as of overweight and obese mothers). Results mppBMI was positively associated with change in BMI over time (p<0.001), independent of GWG and confounders; there was an increase of 0.21 kg/m 2 in BMI change per increase of one standard deviation (SD) in mppBMI. A one-SD change in GWG was associated with a 0.16 kg/m 2 BMI change, independent of mppBMI and confounders. These associations were maintained irrespective of offspring BMI at age 17. The association between mppBMI with offspring change in BMI was slightly attenuated with the addition of genetic scores in the model (b=0.213 vs. 0.187). In the GWG model, when adjusted for the genetic scores a substantial decrease of 28.2% in the coefficient for GWG was observed (b=0.163 vs. 0.117). Conclusions This study points to the strong relationship between maternal excess weight and weight gain in pregnancy with offspring change in body size from adolescence to adulthood. Our findings suggest that genetic factors account, in part, for the association between GWG and offspring longitudinal change in BMI. Mapping genes underlying these associations with longitudinal change in BMI may potentially lead to targeted intervention strategies to reduce CHD risk.

Sign in / Sign up

Export Citation Format

Share Document