Patient Report of Guideline-Congruent Gestational Weight Gain Advice From Prenatal Care Providers: Differences by Prepregnancy BMI

Birth ◽  
2014 ◽  
Vol 41 (4) ◽  
pp. 353-359 ◽  
Author(s):  
Molly E. Waring ◽  
Tiffany A. Moore Simas ◽  
Katharine C. Barnes ◽  
Daniel Terk ◽  
Inna Baran ◽  
...  
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Care Providers ◽  
Patient Report ◽  
Gestational Weight ◽  
Prepregnancy Bmi ◽  
Prenatal Care Providers

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

Obesity as a Predictor of Delayed Lactogenesis II

2017 ◽  
Vol 33 (4) ◽  
pp. 684-691 ◽  
Author(s):  
Irma Preusting ◽  
Jessica Brumley ◽  
Linda Odibo ◽  
Diane L. Spatz ◽  
Judette M. Louis
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Singleton Pregnancy ◽  
Targeted Interventions ◽  
Gestational Weight ◽  
Prepregnancy Bmi ◽  
Increased Risk ◽  
Prepregnancy Obesity ◽  
Observational Cohort ◽  
Breastfeeding Cessation

Background: Lactogenesis II is the onset of copious milk production. A delay in this has been associated with an increased risk of formula supplementation and early cessation of breastfeeding. Prepregnancy obesity has also been associated with decreased breastfeeding rates and early cessation. Research aim: This study aimed to evaluate the effect of prepregnancy obesity on self-reported delayed lactogenesis II. Methods: We conducted a prospective observational cohort study of 216 women with a singleton pregnancy and who planned to breastfeed. We compared the onset of lactogenesis II between women with a body mass index (BMI) < 30 kg/m2 and women with a BMI ≥ 30 kg/m2. Using multivariate logistic regression analyses, we assessed the relationship between maternal BMI and delay of lactogenesis II. Results: The prevalence of delayed lactogenesis II among women with prepregnancy BMI < 30 kg/m2 and BMI ≥ 30 kg/m2 was 46.4% and 57.9%, respectively. Delayed lactogenesis II occurred more frequently among women who were obese at the time of delivery ( p < .05). After controlling for the covariates, age, prepregnancy BMI, and gestational weight gain were positively associated with delayed lactogenesis II. Conclusion: Prepregnancy obesity and excessive gestational weight gain are associated with an increased risk of delayed lactogenesis II. Women who are at risk for delay in lactogenesis II and early breastfeeding cessation will need targeted interventions and support for them to achieve their personal breastfeeding goals.

scholarly journals Gestational weight gain in women receiving prenatal care in rural midwifery clinics (LB313)

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Diana Gonzales‐Pacheco ◽  
Kim Cox ◽  
Cristina Murray‐Krezan
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Gestational Weight

scholarly journals Adequacy of Prenatal Care and Gestational Weight Gain

2016 ◽  
Vol 25 (2) ◽  
pp. 117-123 ◽  
Author(s):  
SeonAe Yeo ◽  
Jamie L. Crandell ◽  
Kathleen Jones-Vessey
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Gestational Weight ◽  
Adequacy Of Prenatal Care

scholarly journals Association of Gestational Weight Gain with Prenatal Care Model

2018 ◽  
Vol 63 (3) ◽  
pp. 283-288
Author(s):  
Michelle A. Kominiarek ◽  
Elizabeth Lucio Gray ◽  
Heidi Vyhmeister ◽  
William Grobman ◽  
Melissa Simon
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Care Model ◽  
Gestational Weight

scholarly journals Gestational weight gain and group prenatal care: a systematic review and meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Michelle A. Kominiarek ◽  
Adam K. Lewkowitz ◽  
Ebony Carter ◽  
Susan A. Fowler ◽  
Melissa Simon
Keyword(s):  
Systematic Review ◽  
Weight Gain ◽  
Prenatal Care ◽  
Gestational Weight Gain ◽  
Meta Analysis ◽  
Group Prenatal Care ◽  
Gestational Weight

scholarly journals Preventing Excessive Weight Gain in Pregnancy: How Do Prenatal Care Providers Approach Counseling?

2010 ◽  
Vol 19 (4) ◽  
pp. 807-814 ◽  
Author(s):  
Naomi E. Stotland ◽  
Paul Gilbert ◽  
Alyssa Bogetz ◽  
Cynthia C. Harper ◽  
Barbara Abrams ◽  
...  
Keyword(s):  
Weight Gain ◽  
Prenatal Care ◽  
Care Providers ◽  
Excessive Weight Gain ◽  
Excessive Weight ◽  
Prenatal Care Providers ◽  
In Pregnancy

scholarly journals Diet during Pregnancy and Gestational Weight Gain in a Michigan Pregnancy Cohort

2020 ◽  
Vol 4 (8) ◽  
Author(s):  
Kelly A Hirko ◽  
Sarah S Comstock ◽  
Rita S Strakovsky ◽  
Jean M Kerver
Keyword(s):  
Weight Gain ◽  
Child Health ◽  
Gestational Weight Gain ◽  
Fruits And Vegetables ◽  
Vegetable Intake ◽  
Fruit And Vegetable Intake ◽  
Added Sugar ◽  
Gestational Weight ◽  
Prepregnancy Bmi ◽  
Dietary Components

ABSTRACT Background Gestational weight gain (GWG) has important health implications for both the mother and offspring. Maternal diet during pregnancy may play an important role in achieving adequate GWG, although its precise role is unclear. Objectives Associations between maternal dietary components (fruits and vegetables, added sugar, percentage energy from fat, dairy) and GWG were examined in 327 pregnant women from the Archive for Research on Child Health cohort. Methods Self-reported usual dietary intake was assessed with validated dietary screening tools at the first prenatal visit. GWG was obtained from the birth certificate and was categorized as inadequate, adequate, or excessive according to the Institute of Medicine recommendations. Associations between dietary components and GWG were assessed using multivariable regression models, stratified by maternal prepregnancy BMI category. Results Only 31.5% of women had adequate GWG, with 24.8% gaining insufficient weight and 43.7% gaining excessively. Women who consumed more fruits and vegetables were suggestively less likely to have excessive GWG (OR: 0.86; 95% CI: 0.75, 1.00) in the minimally adjusted model, but the association became nonsignificant after adjusting for covariates (OR: 0.89; 95% CI: 0.77, 1.03). In stratified models, higher fruit and vegetable intake was linked to lower likelihood of excessive GWG among women with obesity (OR: 0.77; 95% CI: 0.60, 0.97), whereas higher added sugar intake was linked to a slight reduction in likelihood of excessive GWG (OR: 0.91; 95% CI: 0.84, 0.99) among women with a prepregnancy BMI in the normal range. Other dietary components were not significantly associated with GWG. Conclusions These results suggest that consuming fruits and vegetables during pregnancy may reduce risk of excessive GWG among women with obesity. With the rising prevalence of obesity among women of reproductive age, interventions to increase fruit and vegetable intake during pregnancy may have broad public health impact by improving maternal and child health outcomes.

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