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Prevalence of maternal obesity at delivery and association with maternal and neonatal outcomes

Overview of attention for article published in Journal of Maternal-Fetal & Neonatal Medicine, October 2021
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Article details
Title
Prevalence of maternal obesity at delivery and association with maternal and neonatal outcomes
Published in
Journal of Maternal-Fetal & Neonatal Medicine, October 2021
DOI 10.1080/14767058.2021.1988563
Pubmed ID
Authors
Abstract

Maternal obesity has been linked to adverse outcomes for mothers and their offspring, including, but not limited to gestational hypertension (gHTN), gestational diabetes (GDM), pre-eclampsia, fetal macrosomia, and emergency cesarean section. Recent investigations have also shown that obesity, as defined by a body mass index (BMI) ≥ 30, especially severe obesity (BMI ≥ 40), is a risk factor for both hospitalization and death from COVID-19. The objective of this study is to determine the prevalence and association of maternal obesity at delivery with adverse antenatal, intrapartum, and neonatal outcomes in a cohort of consecutive delivering patients at a tertiary care center in Iowa from May to September 2020. A secondary objective is to determine if maternal obesity has any relationship to past or current COVID-19 infection status at the time of delivery. This is a secondary analysis of a prospective cohort study to analyze obstetric outcomes among COVID-19 infected and uninfected patients. We conducted a prospective cohort study using demographic and clinical data obtained from the electronic medical record. Excess plasma was collected from routine blood samples obtained at delivery admission to determine the seroprevalence of COVID-19 antibody using the DiaSorin and Roche antibody assays. Frequency variables were each calculated separately, and a comparison of maternal and neonatal outcomes was conducted using the generalized linear mixed modeling (GLMM) framework to account for varying distributions (normal and binary). 1001 women delivered during the study period and 89.7% met criteria for being overweight or obese; 17.9% met criteria for severe obesity. Women with obesity had 49.8% lower odds of possessing private insurance, and women with severe obesity were less than half as likely to plan to breastfeed at the time of discharge. Women with obesity of any kind had a significantly increased odds of GDM and gHTN, and an increased risk of an infant with macrosomia, hypoglycemia, and NICU admission. No significant association was found between BMI and COVID-19 infection or disease severity. This study provides insight into obstetric complications facing women with obesity, especially those with severe obesity. This report serves to highlight potential challenges, such as insurance status and labor complications, that impact women of high BMI to a greater degree when compared to their normal-weight counterparts.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 5 8%
Librarian 4 7%
Student > Ph. D. Student 4 7%
Student > Master 4 7%
Researcher 3 5%
Other 5 8%
Unknown 35 58%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 13%
Nursing and Health Professions 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Economics, Econometrics and Finance 3 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 6 10%
Unknown 35 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2021.
All research outputs
#22,471,654
of 34,546,575 outputs
Outputs from Journal of Maternal-Fetal & Neonatal Medicine
#2,256
of 3,980 outputs
Outputs of similar age
#247,651
of 468,268 outputs
Outputs of similar age from Journal of Maternal-Fetal & Neonatal Medicine
#21
of 60 outputs
Altmetric has tracked 34,546,575 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,980 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 468,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.