Association of Maternal Prepregnancy BMI With Offspring Cardiometabolic Outcomes in Childhood
Year: 2025
Type: article
Abstract: OBJECTIVE: This study aimed to evaluate associations of maternal prepregnancy BMI with offspring BMI and blood pressure in childhood, specifically for infants born preterm. METHODS: In this observational cohort study of children in the Environmental Influences on Child Health Outcomes (ECHO) Cohort, we utilized four levels of maternal prepregnancy BMI and child BMI. Children were categorized as being born extremely, very, or moderately preterm; late preterm; or term. RESULTS: In total, 13,810 children from 44 ECHO cohorts were included in these analyses. After adjusting for maternal education, maternal age at delivery, and singleton birth, a monotonic dose relationship was noted between child BMI z-scores and maternal prepregnancy BMI level. For child blood pressure outcomes, only extremely preterm children born to mothers with healthy weight and obesity and very/moderately preterm children born to mothers with healthy weight had higher odds of elevated blood pressure/hypertension compared with their term counterparts. CONCLUSIONS: High maternal prepregnancy BMI was associated with a stepwise increase in offspring BMI in childhood. Preterm children had a higher probability of elevated blood pressure/hypertension than term children. These findings highlight a possible window of opportunity to modify lifestyles and behavior of at-risk children prior to adolescence to positively impact adolescent cardiometabolic health.
Source: Obesity
DOI: 10.1002/oby.70028
Authors: Rachana Singh, Christopher B. Pierce, Kartikeya Makker, Lisa Jacobson, Elizabeth T. Jensen, Ruben Vaidya, Semsa Gogcu, Keia Sanderson, Andrew M. South, Amanda Thompson, Wei Perng, Eliana M. Perrin, Andrea E. Cassidy‐Bushrow, Anne L. Dunlop, Dana Dabelea, Assiamira Ferrara, Monique M. Hedderson, Yeyi Zhu, Margaret Karagas, Carlos A. Camargo, Christine W. Hockett, Izzuddin M. Aris, Cindy T. McEvoy, Jody M. Ganiban, Shohreh Farzan, Monica Serrano‐Gonzalez, Susan Carnell, Sarah D. Geiger, Qi Zhao, T. Michael O'Shea, Program Collaborators for Environmental Influences on Child Health Outcomes
Institutions: Tufts University, Johns Hopkins University, Wake Forest University Health Sciences, Wake Forest University, University of Massachusetts Chan Medical School, University of North Carolina at Chapel Hill, University of Colorado Anschutz, Johns Hopkins Medicine, Henry Ford Health, Henry Ford Hospital, Michigan State University, Emory University, Kaiser Permanente, Kaiser Permanente Northern California, Dartmouth College, Harvard University, Massachusetts General Hospital, University of South Dakota, Avera Health, Oregon Health & Science University, George Washington University, University of Southern California, Brown University, University of Illinois Urbana-Champaign, University of Tennessee Health Science Center
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,980
Awards: G1260296645, Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-Up, G1393340887, G2494007234, G2868979800, G3001333480, G3056365088, G3109135898, G3156082336, G3325614460, G3640885244, G430590270, G4505059477, G4605383172, G4708232742, G4947455827, G4947952488, G5344800876, G540497967, G5469310301, G6319612048, The NYU Children’s Health & Environment Study: an ECHO Cohort, G6912219577, G6956543443, G7331561882, G7887748212, G7926348816, G807183906, G8143212532, G8698121208, G8782537771, G9000122753, G9000299692, The NYU Children’s Health & Environment Study: an ECHO Cohort, Continued follow-up of the Vitamin C and Smoking in Pregnancy (VCSIP) cohorts through the ECHO consortium, focus on Echo-wide protocols, respiratory outcomes, airway function, and epigenetic changes, Environmental influences on Child Health Outcomes (ECHO) Coordinating Center, ECHO DAC (Environmental Influences on Child Health Outcomes Data Analysis Center), Machine Learning Risk Prediction of Kidney Disease After Extremely Preterm Birth, The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child Health
OpenAlex ID: W4414403985