Poster Session 1
Category: Epidemiology
Poster Session 1
Tinuola Oladebo, MSc
Medical College of Wisconsin
Medical College of Wisconsin, Wisconsin, United States
Nadine Sunji, MD (she/her/hers)
Resident
Medical College of Wisconsin
Medical College of Wisconsin, Wisconsin, United States
Alyssa M. Hernandez, DO
Research Scientist
Medical College of Wisconsin
Medical College of Wisconsin, Wisconsin, United States
Liyun Zhang, MS
Medical College of Wisconsin
Medical College of Wisconsin, Wisconsin, United States
Amy Y. Pan, PhD
Medical College of Wisconsin
Medical College of Wisconsin, Wisconsin, United States
Lynn M. Yee, MD, MPH (she/her/hers)
Associate Professor
Northwestern University Feinberg School of Medicine
Chicago, Illinois, United States
George R. Saade, MD
Department of Obstetrics and Gynecology, Eastern Virginia Medical School at Old Dominion University
Norfolk, Virginia, United States
David M. Haas, MD
Attending Physician
Indiana University School of Medicine
Indianapolis, Indiana, United States
Shannon Barnes
Research triangle park
Research Triangle Park, North Carolina, United States
Janet Catov, MS, PhD
Professor, Department of Obstetrics, Gynecology & Reproductive Sciences
University of Pittsburgh
Pittsburgh, Pennsylvania, United States
Jessica Pippen, MD
MetroHealth Medical Center
Cleveland, Ohio, United States
Philip Greenland, MD
Northwestern University
Chicago, Illinois, United States
Uma M. Reddy, MD, MPH
Professor
Columbia University Irving Medical Center
New York, New York, United States
Judith H. Chung, MD
Professor of Clinical Obstetrics and Gynecology
University of California Irvine Medical Center
Irvine, California, United States
Lisa D. Levine, MD, MSCE (she/her/hers)
Associate Professor, Chair, Division of MFM.
Perelman School of Medicine, University of Pennsylvania
Philadelphia, Pennsylvania, United States
Lauren H. Theilen, MD, MS
Assistant Professor
University of Utah
Salt Lake City, Utah, United States
C. Noel Bairey Merz, MD
Cedars-Sinai Medical Center
Los Angeles, California, United States
Jasmina Varagic, MD, PhD
National Heart, Lung, and Blood Institute, NIH
Bethesda, Maryland, United States
Victoria L. Pemberton, MS
National Heart, Lung, and Blood Institute, NIH
Bethesda, Maryland, United States
Nathan Vandergrift
RTI
Research triangle park, North Carolina, United States
Anna Palatnik, MD (she/her/hers)
Associate Professor
Medical College of Wisconsin
MILWAUKEE, Wisconsin, United States
To examine the association of allostatic load with gestational diabetes (GDM) and GDM-related pregnancy outcomes.
Study Design:
This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be Heart Health Study, which followed nulliparas from early pregnancy to 2-7 years postpartum. The primary exposure of this analysis was high allostatic load (AL) in the first trimester, defined as having four or more of 12 biomarkers (systolic blood pressure, diastolic blood pressure, body mass index, cholesterol, low-density lipoprotein, high-density lipoprotein, high sensitivity C-reactive protein, triglycerides, insulin, glucose, creatinine, and albumin) being in the highest-risk quartile. The primary outcome was the frequency of GDM in the entire cohort. Secondary outcomes were pregnancy complications among those who developed GDM. Univariable and multivariable logistic regression models were used to evaluate association between AL and adverse pregnancy outcomes.
Results:
A total of 1405 (38%) women had high AL. In unadjusted models, high AL was associated with increased odds of GDM (OR 2.88, 95% CI: 2.08–3.98, Table 1). After adjusting for maternal age at first prenatal visit, pre-pregnancy BMI, education, marital status, poverty, physical activity, chronic hypertension, and polycystic ovarian syndrome, high AL remained to be significantly associated with GDM (aOR 1.66, 95% CI 1.09-2.53). Secondary analyses within the GDM subgroup (n=164) demonstrated higher odds of large for gestational age (OR 3.22, 95% CI: 1.16–8.98) and preeclampsia (OR 2.87, 95% CI: 1.02–8.06) (Table 2). After controlling for first trimester BMI, presence of chronic hypertension, GDM type (A1 vs. A2), marital status, and insurance type, these associations did not persist.
Conclusion:
High allostatic load was independently associated with GDM diagnosis. Within the GDM group, no significant association was found between high AL and incidence of pregnancy complications related to GDM after adjusting for potential confounders.