Weight in the First Year of Life: Associations with Maternal Prepregnancy Body Mass Index and Gestational Weight Gain—Findings from a Longitudinal Pregnancy Cohort

2017 ◽  
Vol 34 (08) ◽  
pp. 774-779 ◽  
Author(s):  
Skye McPhie ◽  
Helen Skouteris ◽  
Richard Mattick ◽  
Judy Wilson ◽  
Ingrid Honan ◽  
...  

Objective To investigate the obesogenic influence of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) on infant weight at birth and 12 months postpartum in an Australian general population sample. Methods Data on 1,305 pregnant women were collected on prepregnancy BMI and GWG through maternal interview, on infant weight at birth through hospital records, and on infant weight 12 months postbirth through direct measurement. Relationships between prepregnancy, gestational weight exposures, and infant weight outcomes were assessed with and without adjustment for potential confounding. Results We observed a 14 to 24 g increase in infant birth weight for every 1 kg increase in maternal weight (infant birth weight: β(BMI) = 0.014, p < 0.000; β(GWG) = 0.012, p < 0.000; and 12 months: β(BMI) = 0.018, p < 0.000; β(GWG) = 0.024, p < 0.000). Effects remained after adjustment for potential confounders (infant birth weight: β(BMI) = 0.014, p < 0.000; β(GWG) = 0.012, p < 0.001; and 12 months: β(BMI)= 0.017, p ≤ 0.033; β(GWG) = 0.023, p = 0.001). However, the effects observed were small, and there was no evidence that GWG mediated relationships between preconception BMI and infant weight. Conclusion In a general population sample, there is a significant but not substantial observed relationship between maternal prepregnancy BMI and GWG and infant weight outcomes, suggesting a minor role for these factors at a population level.

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 362
Author(s):  
Milan Lackovic ◽  
Dejan Filimonovic ◽  
Sladjana Mihajlovic ◽  
Biljana Milicic ◽  
Ivana Filipovic ◽  
...  

Background: The aim of our study was to assess the influence of prepregnancy Body Mass Index (BMI) changes as well as excessive gestational weight gain (GWG) on maternal and fetal perinatal parameters. Furthermore, we aimed to analyze the influence of increased prepregnancy BMI values and excessive GWG on neonatal early motoric development. Methods: The 203 eligible female participants were evaluated. Prepregnancy Body Mass Index (BMI) and excessive gestational weight gain (GWG) defined according to Institute of Medicine 2009 guidelines in the USA were assessed with tested maternal and fetal perinatal parameters and infants early motoric development (Alberta Infant Motor Scale—AIMS). Results: Significant predictors of increased prepregnancy BMI in perinatal period include: weight at delivery (p = 0.001), GWG (p = 0.002) and BMI at delivery (p < 0.001), while significant predictors of excessive GWG in perinatal period are: prepregnancy BMI (p = 0.029) and BMI at delivery (p < 0.001). In the group of participants with both increased prepregnancy BMI and excessive GWG versus others, significant predictors were: hypertension (HTA) (p = 0.019), amniotic fluid index (AFI) (p = 0.047), Pronation (AIMS) (p = 0.028) and Supination (AIMS) (p = 0.029). Conclusion: Increased prepregnancy BMI and excessive GWG are significantly associated with numerous perinatal factors that could alter the pregnancy course, pregnancy outcome and early motoric development of newborn. Moreover, increased prepregnancy BMI is shown to be a significant predictor of excessive GWG; thus, early selection of pregnant women for close monitoring of weight gain during pregnancy will have positive effects on reducing the risk of less favorable pregnancy course and early motoric development of newborn.


2007 ◽  
Vol 12 (5) ◽  
pp. 557-567 ◽  
Author(s):  
Ihunnaya O. Frederick ◽  
Michelle A. Williams ◽  
Anne E. Sales ◽  
Diane P. Martin ◽  
Marcia Killien

2020 ◽  
Author(s):  
Simeng Zhu ◽  
Yichen He ◽  
Chen Zhang ◽  
Yanting Wu ◽  
Hefeng Huang

Abstract Background: As a growing health problem, maternal obesity may have an adverse effect on offspring neurodevelopment. The effects of maternal overweight and obesity and excessive gestational weight gain on offspring intelligence remains unclear. This meta-analysis aimed to assess the influence of prepregnancy body mass index (BMI) and gestational weight gain on children’s intelligence.Methods: We systematically searched PubMed, Embase, Cochrane Library and Ovid Medline from their inception through July 2020. Studies assessing the association between prepregnancy BMI or gestational weight gain and children’s intelligence (from 3 years to 10 years) were screened manually before final inclusion. We included prospective and retrospective cohorts that analysed the association between prepregnancy BMI or gestational weight gain and intelligence of offspring. We used the Mantel-Haenszel fixed-effects method to compute the weight mean difference (WMD) and 95% confidence interval (CI) of each study.Results: Twelve articles were included in the systematic review, and six of them were included in the meta-analysis. There was a significant full-scale IQ reduction in children of overweight and obese women, with WMDs of -3.25 (95% CI: -3.05, -2.42) and -4.85 (95% CI: -5.93, -3.76), respectively. Compared with that in the control group, the WMDs for performance IQ were -2.40 (95% CI: -3.45, -1.34) and -5.28 (95% CI: -7.22, -3.34) in the overweight and obesity groups, respectively, and the WMDs for verbal IQ were -3.47 (95% CI: -4.38, -2.56) and -5.71 (95% CI: -7.13, -4.29), respectively. However, there was no significant reduction in children’s full-scale intelligence scores due to excessive weight gain; the WMD was -0.14 (95% CI: -0.92, 0.65).Conclusions: Prepregnancy overweight and obesity might have disadvantageous consequences on children’s intelligence; however, we observed no significant difference between excessive and normal gestational weight gain. Therefore, weight control before pregnancy is more important than that during pregnancy in terms of children’s intelligence.Trial registration: This systematic review and meta-analysis have been registered in PROSPERO (Number: CRD42020199215).


2017 ◽  
Vol 78 (2) ◽  
pp. 66-73 ◽  
Author(s):  
Anne-Sophie Morisset ◽  
Lise Dubois ◽  
Cynthia K. Colapinto ◽  
Zong-Chen Luo ◽  
William D. Fraser

Purpose: We aimed to describe adherence to gestational weight gain (GWG) recommendations and identify determinants of excessive GWG in a sample of women from Quebec, Canada. Methods: Data were collected from the multi-centre 3D (Design, Develop, Discover) pregnancy cohort study, which included women who delivered between May 2010 and August 2012 at 9 obstetrical hospitals in Quebec, Canada. GWG was calculated for 1145 women and compared to the 2009 Institute of Medicine (IOM) recommendations. Results: Overall, 51% of participants exceeded the recommendations. Approximately 68% of women with obesity gained weight in excess of the IOM recommendations. The corresponding numbers were 75%, 44%, and 27% in overweight, normal weight, and underweight women, respectively. A prepregnancy BMI of 25 kg/m2 or more was the only significant predictor of exceeding GWG recommendations (OR 3.35, 95% CI 2.44–4.64) in a multivariate model. Birth weight was positively associated with GWG. GWG and prepregnancy BMI could explain 3.13% and 2.46% of the variance in birth weight, respectively. Conclusion: About half of women exceeded GWG recommendations, and this was correlated with infant birth weight. This reinforces the need to develop and evaluate strategies, including nutritional interventions, for pregnant women to achieve optimal GWG.


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.


2019 ◽  
Vol 25 ◽  
pp. 268-269
Author(s):  
Bolanle Okunowo ◽  
Ifedayo Odeniyi ◽  
Oluwarotimi Olopade ◽  
Olufemi Fasanmade ◽  
Omololu Adegbola ◽  
...  

2003 ◽  
Vol 189 (5) ◽  
pp. 1423-1432 ◽  
Author(s):  
Nancy F Butte ◽  
Kenneth J Ellis ◽  
William W Wong ◽  
Judy M Hopkinson ◽  
E.O'Brian Smith

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Susie Dzakpasu ◽  
John Fahey ◽  
Russell S Kirby ◽  
Suzanne C Tough ◽  
Beverley Chalmers ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document