Obesity (body mass index [BMI] of 30.0 and over) has risen in the United States in recent decades (1). Obesity varies by demographic factors, such as age, race and Hispanic origin, and socioeconomic status (2,3). Maternal obesity has been linked to a variety of adverse health outcomes for mothers and newborns, including gestational diabetes, hypertension, preeclampsia, cesarean delivery, preterm delivery, large size for gestational age, and infant death (4-10). The 2016 natality data file is the first for which prepregnancy BMI is available for all states and the District of Columbia (D.C.). This report presents trends in prepregnancy obesity for 2016 through 2019 by maternal race and Hispanic origin, age, and educational attainment. Trends by state for 2016-2019 and 2019 rates also are shown.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Prediction of neonatal survival among Pacific Islander preterm births in the US.
PLoS One
December 2024
Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, Connecticut, United States of America.
Objective: Predicting neonatal survival is essential for targeting interventions to reduce neonatal mortality. Pacific Islanders have been underrepresented in existing prediction tools and have unique, maternal obesity-related risk factors for both preterm birth and neonatal mortality. Using neonatal sex, birth weight, and gestational age, we developed a graphical tool for neonatal survival among Pacific Islander singletons in the United States.
View Article and Find Full Text PDFRacial disparities in gestational weight gain and adverse pregnancy outcomes among Black and White pregnant people with obesity.
Obesity (Silver Spring)
December 2024
Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Objective: This study of pregnant people with obesity examined two aims in testing the hypothesis that the COVID-19 pandemic widened racial disparity in maternal health in high-risk pregnancies; it compared by race both (1) gestational weight gain (GWG) patterns and (2) patterns of preexisting conditions and adverse pregnancy outcomes.
Methods: This retrospective chart review included birth certificate and delivery records from a large women's specialty hospital in Louisiana between 2018 and 2022. Differences in preexisting conditions, GWG, and adverse pregnancy outcomes were explored across early-, peak-, and late-pandemic periods using log-linear regression and robust Poisson models.
Risk prediction of excessive gestational weight gain based on a nomogram model: a prospective observational study in China.
J Matern Fetal Neonatal Med
December 2025
Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Excessive Gestational Weight Gain is a global public health problem with serious and long-term effects on maternal and offspring health. Early identification of at-risk groups and interventions is crucial for controlling weight gain and reducing the prevalence of excessive gestational weight gain. Currently, tools for predicting the risk of excessive gestational weight gain are lacking in China.
View Article and Find Full Text PDFIncidence and influencing factors for surgical site infections after cesarean section in China: A systematic review and meta-analysis.
J Obstet Gynaecol Res
January 2025
Department of Infectious Diseases, Tianjin, P.R. China.
Objective: This study aims to estimate the overall incidence of surgical site infections (SSIs) after cesarean section (CS) and the influencing factors in the Chinese population.
Materials And Methods: The study searched all relevant literature in English and Chinese search databases (English search bases: PubMed, Embase, Cochrane Library, Web of Science; Chinese search bases: China National Knowledge Infrastructure, Wanfang, and China Science and Technology Journal Database) up to March 19, 2024, according to the search strategy. A random/fixed effects model was decided on the basis of the I statistic assessing the magnitude of study heterogeneity, and publication bias was assessed using the Begg's test.
Obesity and postpartum hospital use among individuals without additional medical comorbidities.
Obesity (Silver Spring)
January 2025
Department of Obstetrics & Gynecology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Objective: The objective of this study was to examine whether obesity without preexisting or gestational comorbidities is associated with postpartum hospital use (PHU).
Methods: We studied 2016 to 2018 birth certificate and discharge data on 178,729 New York City births without International Classification of Diseases, Tenth Revision (ICD-10) codes at delivery for diabetes; hypertension; placental disease; anemia; thyrotoxicosis; bariatric surgery; and pulmonary, cardiac, renal, bleeding, autoimmune, digestive, neuromuscular, mental, or substance-use disorders. We defined PHU as ≥1 readmission or emergency department visit within 30 days of delivery discharge.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!