scholarly journals The Relationship of Maternal Prepregnancy Body Mass Index and Pregnancy Weight Gain to Neurocognitive Function at Age 10 Years among Children Born Extremely Preterm

2017 ◽  
Vol 187 ◽  
pp. 50-57.e3 ◽  
Author(s):  
Elizabeth T. Jensen ◽  
Jelske W. van der Burg ◽  
Thomas M. O'Shea ◽  
Robert M. Joseph ◽  
Elizabeth N. Allred ◽  
...  
2000 ◽  
Vol 96 (2) ◽  
pp. 194-200 ◽  
Author(s):  
LAURA A. SCHIEVE ◽  
MARY E. COGSWELL ◽  
KELLEY S. SCANLON ◽  
GERALDINE PERRY ◽  
CYNTHIA FERRE ◽  
...  

2016 ◽  
Vol 127 ◽  
pp. 17S ◽  
Author(s):  
Meike Schuster ◽  
A. Dhanya Mackeen ◽  
A. George Neubert ◽  
H. Lester Kirchner ◽  
Michael J. Paglia

2019 ◽  
Author(s):  
Hayley Martin ◽  
Kelly Thevenet-Morrison ◽  
Ann Dozier

Abstract BackgroundIt is well established that mothers with above-normal pre-pregnancy body mass index (BMI) are at increased risk of breastfeeding cessation; however, the impact of pregnancy weight-gain is less well-defined. Excess pregnancy weight-gain may alter the hormonal preparation of breast tissue for lactation, increase the risk of complications that negatively impact breastfeeding (e.g. C-section, gestational diabetes), and may make effective latch more difficult to achieve.MethodsOur objective was to determine the impact of pregnancy weight-gain and pre-pregnancy BMI on the risk of breastfeeding cessation utilizing the Institute of Medicine’s 2009 recommendations. Cox proportional hazards models were utilized to estimate the risk of cessation of exclusive breastfeeding, and cessation of any breastfeeding among women who initiated exclusive and any breastfeeding, respectively, in a cross sectional sample of survey respondents from a New York county (N=1207). Pregnancy weight-gain category was interacted with pre-pregnancy BMI (3 levels of pre-pregnancy BMI, 3 levels of pregnancy weight-gain). Confounders of the relationship of interest were evaluated using directed acyclic graphs and bivariate analyses; variables not on the proposed causal pathway and associated with the exposure and outcome were included in multivariate models.ResultsAfter adjustment, women of normal and obese pre-pregnancy BMI with greater-than-recommended pregnancy weight-gain had 1.39 (1.03-1.86) and 1.48 (1.06-2.07) times the risk of any breastfeeding cessation within the first 3 months postpartum compared to women with normal pre-pregnancy BMI who gained within PWG recommendations. Overweight women with greater-than-recommended pregnancy weight-gain were at increased risk of cessation, although not significantly (adjusted Hazard Ratio [95% CI]: 1.29 [0.95 – 1.75]). No significant relationship was observed for exclusive breastfeeding cessation. ConclusionPre-pregnancy BMI and pregnancy weight-gain may be modifiable risk factors for early breastfeeding cessation. Understanding the mechanism behind this risk should be ascertained by additional studies aimed at understanding the physiological, social, logistical (positioning) and other issues that may lead to early breastfeeding cessation.


Author(s):  
Engin Yurtcu ◽  
Sibel Mutlu ◽  
Enis Ozkaya

OBJECTIVE: To investigate the effects of pre-pregnancy body mass index and weight gain during pregnancy on perinatal outcomes and delivery mode. STUDY DESIGN: In this retrospective cohort study, 722 pregnant women giving birth between 2018-2019 were screened from our hospital database. First, they were divided into four groups according to their pre-pregnancy body mass index (low-weight/normal-weight/overweight/obese), and then they were redivided into three groups according to pregnancy weight gain (≤7/8-15/≥16 kg). Prenatal body mass index and pregnancy weight gain were compared concerning maternal-neonatal results and mode of delivery. RESULTS: According to pre-pregnancy body mass index, among the obese pregnant group, gestational diabetes mellitus (p<0.001), preeclampsia (p=0.029), preterm delivery (p=0.011) and cesarean delivery (p=0.061) rates were more common. As the body mass index increases, neonatal intensive care requirement (p=0.0020) and low 1st minute APGAR scores (p=0.019) were detected more frequently. However, as pregnancy weight gain decreased, preterm delivery (p=0.041) increased. Also, birth weight increased (p<0.001) with the weight gain of the pregnant. Pregnant women gaining more than 16 kg were associated either with a lower <2500 g or a higher birth weight risk >4000 g. CONCLUSION: Pre-pregnancy high body mass index is associated with negative obstetric outcomes like gestational diabetes, preeclampsia, preterm delivery, and increased cesarean rates, and poor fetal incidences with a low APGAR score and high neonatal intensive care admission rates.


2018 ◽  
Vol 103 (10) ◽  
pp. 974-980 ◽  
Author(s):  
William Johnson ◽  
David Bann ◽  
Rebecca Hardy

ObjectiveTo investigate how the relationship of infant weight gain with adolescent body mass index (BMI) differs for individuals born during and before the obesity epidemic era.DesignData from two British birth cohorts, the 1946 National Survey of Health and Development (NSHD, n=4199) and the 2001 Millennium Cohort Study (MCS, n=9417), were used to estimate and compare associations of infant weight gain between ages 0 and 3 years with adolescent outcomes.Main outcome measuresBMI Z-scores and overweight/obesity at ages 11 and 14 years.ResultsInfant weight gain, in Z-scores, was positively associated with adolescent BMI Z-scores in both cohorts. Non-linearity in the MCS meant that associations were only stronger than in the NSHD when infant weight gain was above −1 Z-score. Using decomposition analysis, between-cohort differences in association accounted for 20%–30% of the differences (secular increases) in BMI Z-scores, although the underlying estimates were not precise with 95% CIs crossing 0. Conversely, between-cohort differences in the distribution of infant weight gain accounted for approximately 9% of the differences (secular increases) in BMI Z-scores, and the underlying estimates were precise with 95% CI not crossing 0. Relative to normal weight gain (change of −0.67 to +0.67 Z-scores between ages 0 and 3 years), very rapid infant weight gain (>1.34), but not rapid weight gain (+0.67 to +1.34), was associated with higher BMI Z-scores more strongly in the MCS (β=0.790; 95% CI 0.717 to 0.862 at age 11 years) than in the NSHD (0.573; 0.466 to 0.681) (p<0.001 for between-cohort difference). The relationship of slow infant weight gain (<−0.67) with lower adolescent BMI was also stronger in the MCS. Very rapid or slow infant weight gain was not, however, more strongly associated with increased risk of adolescent overweight/obesity or thinness, respectively, in the more recently born cohort.ConclusionsGreater infant weight gain, at the middle/upper end of the distribution, was more strongly associated with higher adolescent BMI among individuals born during (compared with before) the obesity epidemic. Combined with a secular change towards greater infant weight gain, these results suggest that there are likely to be associated negative consequences for population-level health and well-being in the future, unless effective interventions are developed and implemented.


Author(s):  
Lydia Theresia ◽  
Dharma Lindarto ◽  
Santi Syafril ◽  
Tambar Kembaren

Antiretroviral administration affects weight gain and inflammation in HIV patients. The purpose of the study was to assess the relationship of body mass index with inflamation parameters in HIV patients who ARV therapy. In 40 HIV patients (stage III-IV)   treated with ARV (FDC 87%, Durival Efaviren 7.5%, Tenofovir, Huviral, Aluvia 2.5%, and Tenofovir, Huviral, Neviral 2.5%) conducted observational analytics with crosssectional design. CD4 examination was carried out flowcytometrically, BMI measured by formula weight (kg) divided by height squared (m2), waist circumference (WC) measured by ribbon between costae arcus and anterior superior iliac spine, albumin measurement with Brom Cresol Green (BCG) method. There is a significant correlation between BMI with WC and CD4 (r=0.61, p<0.001 and r=0.38, p<0.001, respectively). There is no correlation between BMI and duration of ARV treatment, albumin and leptin. ARV treatment in HIV patients will affect weight and inflammatory markers.


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