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

医学 妊娠期糖尿病 超重 产科 前瞻性队列研究 体质指数 怀孕 肥胖 儿科 妊娠高血压 队列 产前护理 队列研究 子痫前期 人口 妊娠期 内科学 环境卫生 遗传学 生物
作者
Claire Castaneda,Katharine Marsden,Timothy Maxwell,Patrick Ten Eyck,Daren Kuwaye,Kimberly A. Kenne,Abbey S. Merryman,Haley A. Steffen,Samantha R. Swartz,Anna E. Merrill,Matthew D. Krasowski,J. Brooks Jackson,Mary B. Rysavy
出处
期刊:Journal of Maternal-fetal & Neonatal Medicine [Informa]
卷期号:35 (25): 8544-8551 被引量:11
标识
DOI:10.1080/14767058.2021.1988563
摘要

Introduction 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.Objectives 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.Methods 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).Results 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.Conclusion 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
瞿寒发布了新的文献求助10
刚刚
wanci应助55566采纳,获得10
2秒前
2秒前
3秒前
CodeCraft应助carrieschen采纳,获得10
6秒前
小二郎应助江夏清采纳,获得10
6秒前
爆米花应助大方的道罡采纳,获得20
6秒前
louis发布了新的文献求助10
7秒前
子名起难发布了新的文献求助10
7秒前
sharkmelon应助酱鱼采纳,获得10
7秒前
8秒前
8秒前
CEJ完成签到,获得积分10
8秒前
bunny发布了新的文献求助30
8秒前
8秒前
爆米花应助tianwu采纳,获得10
9秒前
10秒前
Wd完成签到,获得积分10
12秒前
王允泰发布了新的文献求助10
12秒前
Casengyue完成签到,获得积分10
12秒前
12秒前
czj发布了新的文献求助10
13秒前
13秒前
14秒前
3152发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
科研通AI6.4应助Wd采纳,获得10
15秒前
16秒前
16秒前
321发布了新的文献求助10
17秒前
黄梓同发布了新的文献求助10
18秒前
J_B_Zhao应助李李李采纳,获得10
18秒前
19秒前
翠花发布了新的文献求助10
19秒前
要减肥碧琴完成签到,获得积分10
20秒前
歼击机88发布了新的文献求助10
20秒前
tianwu发布了新的文献求助10
21秒前
21秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492034
求助须知:如何正确求助?哪些是违规求助? 8289811
关于积分的说明 17689167
捐赠科研通 5583614
什么是DOI,文献DOI怎么找? 2915194
邀请新用户注册赠送积分活动 1892356
关于科研通互助平台的介绍 1750269