Gestational weight gain adequacy for favourable obstetric and neonatal outcomes: a nationwide hospital-based cohort Gestational weight gain for favourable obstetric and neonatal outcomes

2021 ◽  
Author(s):  
Thelma Brandão ◽  
Patricia de Carvalho Padilha ◽  
Denise Cavalcante de Barros ◽  
Karina dos Santos ◽  
Silvana Granado Nogueira da Gama ◽  
...  
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Neonatal Outcomes ◽  
Gestational Weight

Pregnancy Outcomes Associated with Introduction of Early Diabetes Screening Guidelines

2020 ◽  
Author(s):  
Rebecca E. Weiss ◽  
Nevert Badreldin ◽  
Kathleen Drexler ◽  
Charlotte Niznik ◽  
Lynn M. Yee
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Multivariable Analysis ◽  
Neonatal Outcomes ◽  
Diabetes Screening ◽  
Early Diabetes ◽  
Screening Criteria ◽  
Screening Guidelines ◽  
Gestational Weight

Objective The study aimed to evaluate perinatal outcomes associated with introduction of and adherence to early diabetes screening guidelines. Study Design Retrospective cohort study of all women who received prenatal care at a single, high-volume tertiary care center before (“preguidelines”) and after (“postguidelines”) American College of Obstetrics and Gynecology guidelines for early pregnancy diabetes screening for women at high risk for diabetes. Women with known pregestational diabetes, late entry to prenatal care, a fetus with a known anomaly, or multiple gestation were excluded. Multivariable linear and logistic regression models were constructed to compare maternal and neonatal outcomes between women in the preguidelines cohort to those in the postguidelines cohort. Similarly, adherence to screening guidelines was assessed, and among all women who were eligible for early diabetes screening, multivariable linear, and logistic models were created to compare outcomes between those women who were screened early to those who were not. Results Of the 2,069 women eligible for analysis, 64.6% (n = 1,337) were in the postguideline cohort. Women in the postguideline cohort were older, less likely to have a history of smoking, and more likely to be non-Hispanic white. On multivariable analysis, women in the postguideline cohort had significantly less gestational weight gain (aβ = −2.3; 95% confidence interval [CI]: −3.4 to −1.1), but a higher odds of 5-minute Apgar's score of <7 (adjusted odds ratio: 2.51; 95% CI: 1.11–5.66). Of 461 women who met ACOG early diabetes screening criteria, 58.7% (n = 270) were screened appropriately. Adherence to screening was associated with parity, race, insurance, and BMI. On multivariable analysis, there were no significant differences in neonatal outcomes between women meeting early screening criteria who were screened early and those who were not. Conclusion Introduction of early diabetes screening guidelines was associated with a significant decrease in gestational weight gain, but did not improve neonatal outcomes. Key Points

scholarly journals Characteristics of the Family Support Network of Pregnant Adolescents and Its Association with Gestational Weight Gain and Birth Weight of Newborns

2019 ◽  
Vol 16 (7) ◽  
pp. 1222
Author(s):  
Reyna Sámano ◽  
Hugo Martínez-Rojano ◽  
Gabriela Chico-Barba ◽  
Bernarda Sánchez-Jiménez ◽  
Daniel Illescas-Zarate ◽  
...  
Keyword(s):  
Weight Gain ◽  
Family Support ◽  
Gestational Weight Gain ◽  
Neonatal Outcomes ◽  
Support Network ◽  
Pregnant Adolescents ◽  
Gestational Weight ◽  
The Family ◽  
Maternal And Neonatal Outcomes ◽  
Primary Support

It has been proposed that, in the Mexican culture, family support can be a factor that contributes to protect the maternal and child health of pregnant adolescents. There may be complex associations between family support and the circumstances of a pregnancy during adolescence. The aim of the study was to analyze the association between the family support network (FSN) characteristic and the maternal and neonatal outcomes in Mexican adolescents. A cross-sectional study was conducted, and 352 pregnant adolescents participated; their FSN during pregnancy was assessed. The gestational weight gain and birth weight/length of newborns were registered. The size of the FSN was described and divided into quartiles; the main members for each quartile were identified. Then, sociodemographic and clinical variables were compared by FSN quartiles. Logistic regression models were performed to assess the association of FSN size and pregnancy and neonatal outcomes. Our results indicate that the mean age was 15 ± 1 year old. The primary support member in the FSN was the mother of the adolescent in each quartile, except for quartile 3, where the primary support was the mother-in-law. In quartile 3 there was a significantly lower gestational weight gain compared to quartile 4 (11.8 ± 5 vs. 13 ± 5 kg, p = 0.054). According to the regression model, a higher risk of small for gestational age (OR 2.99, CI 95% 1.25–7.15) newborns was found in quartile 3. We conclude that the maternal and neonatal outcomes did not differ between quartiles of FSN size, except for quartile 3. Small for gestational age newborns were observed when a non-blood relative was present in the FSN. The quality rather than the network size might be more important for improving pregnancy outcomes.

The Effect of Gestational Weight Gain by Body Mass Index on Maternal and Neonatal Outcomes

2009 ◽  
Vol 31 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Joan M.G. Crane ◽  
Joanne White ◽  
Phil Murphy ◽  
Lorraine Burrage ◽  
Donna Hutchens
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Neonatal Outcomes ◽  
Gestational Weight ◽  
Maternal And Neonatal Outcomes

scholarly journals Elevated lipid oxidation is associated with exceeding gestational weight gain recommendations and increased neonatal anthropometrics: a cross-sectional analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jill M. Maples ◽  
Samantha F. Ehrlich ◽  
Nikki B. Zite ◽  
Kevin J. Pearson ◽  
W. Todd Cade ◽  
...  
Keyword(s):  
Weight Gain ◽  
Lipid Oxidation ◽  
Gestational Weight Gain ◽  
Oxidation Rate ◽  
Weight Status ◽  
Fat Free Mass ◽  
Neonatal Outcomes ◽  
Cross Sectional ◽  
Substrate Metabolism ◽  
Gestational Weight

Abstract Background Deviations from gestational weight gain (GWG) recommendations are associated with unfavorable maternal and neonatal outcomes. There is a need to understand how maternal substrate metabolism, independent of weight status, may contribute to GWG and neonatal outcomes. The purpose of this study was to explore the potential link between maternal lipid oxidation rate, GWG, and neonatal anthropometric outcomes. Methods Women (N = 32) with a lean pre-pregnancy BMI were recruited during late pregnancy and substrate metabolism was assessed using indirect calorimetry, before and after consumption of a high-fat meal. GWG was categorized as follows: inadequate, adequate, or excess. Shortly after delivery (within 48 h), neonatal anthropometrics were obtained. Results Using ANOVA, we found that fasting maternal lipid oxidation rate (grams/minute) was higher (p = 0.003) among women with excess GWG (0.1019 ± 0.0416) compared to women without excess GWG (inadequate = 0.0586 ± 0.0273, adequate = 0.0569 ± 0.0238). Findings were similar when lipid oxidation was assessed post-meal and also when expressed relative to kilograms of fat free mass. Absolute GWG was positively correlated to absolute lipid oxidation expressed in grams/minute at baseline (r = 0.507, p = 0.003), 2 h post-meal (r = 0.531, p = 0.002), and 4 h post-meal (r = 0.546, p = 0.001). Fasting and post-meal lipid oxidation (grams/minute) were positively correlated to neonatal birthweight (fasting r = 0.426, p = 0.015; 2-hour r = 0.393, p = 0.026; 4-hour r = 0.540, p = 0.001) and also to neonatal absolute fat mass (fasting r = 0.493, p = 0.004; 2-hour r = 0.450, p = 0.010; 4-hour r = 0.552, p = 0.001). Conclusions A better understanding of the metabolic profile of women during pregnancy may be critical in truly understanding a woman’s risk of GWG outside the recommendations. GWG counseling during prenatal care may need to be tailored to women based not just on their weight status, but other metabolic characteristics.

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