Abstract P1113: Periconceptional DASH Diet and Adverse Pregnancy Outcomes:

M McKenzie Jancsura (The Ohio State University, Columbus, Ohio, United States) W William Grobman (Brown University, Providence, Rhode Island, United States) J Jiqiang Wu (The Ohio State University, Columbus, Ohio, United States) M Michael Wirth (University of South Carolina, Columbia, South Carolina, United States) D David Haas (Indiana University, Indianapolis, Indiana, United States) H Hy Simhan (University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States) R Robert Silver (University of Utah, Salt Lake City, Utah, United States) G George Saade (Eastern Virginia Medical School, Norfolk, Virginia, United States) L Lynn Yee (Northwestern, Chicago, Illinois, United States) K kartik venkatesh (The Ohio State University, Columbus, Ohio, United States)

Abstract

Background: A DASH (Dietary Approaches to Stop Hypertension) diet is associated with improved cardiovascular health (CVH) outcomes in non-pregnant individuals, but its association with CVH-related pregnancy outcomes is not clear. We examined whether a periconceptional DASH diet was associated with adverse pregnancy outcomes (APOs), which are associated with CVH-risk. Methods: This is a secondary analysis of data from the prospective Nulliparous Pregnancy Outcomes Study-Monitoring Mothers-to-Be (nuMoM2b) cohort. We calculated DASH diet scores from Block food-frequency questionnaires administered in the first trimester. DASH diet scores were categorized in tertiles from Tertile 1 (T1, least adherent) to Tertile 3 (T3, most adherent). APOs were evaluated individually and included small-for-gestational-age neonate [<10 th percentile, SGA], large-for-gestational-age [ > 90 th percentile, LGA]), hypertensive disorder of pregnancy (HDP), gestational diabetes mellitus (GDM), and preterm birth (PTB) <37 weeks. Individuals with hypertension or diabetes prior to pregnancy were excluded. Modified Poisson regression models were adjusted for age, income, education, and health insurance, but not cardiometabolic risk factors deemed to be on the causal pathway (i.e., BMI). Secondarily, we assessed whether the above associations varied by adequate neighborhood food access, determined at the census tract level using the USDA Food Atlas . Results: Among 7,981 nulliparous individuals with dietary and outcome data, the frequency of SGA, HDP, GDM, and PTB were lower with higher adherence to a DASH diet (p<0.05 for all). In adjusted analyses, nulliparous individuals who reported the highest adherence to a DASH diet (i.e., T3) had a lower risk of developing HDP compared with those who had the least adherence (i.e., T1) (11.6% vs 14.7%; adjusted risk ratio, aRR 0.84, 95% CI 0.71-0.99). Those in T2 compared with the T1 were at lower risk of developing GDM (3.5% vs 4.7%; aRR 0.69, 95% CI 0.52-0.92). Adherence to a DASH diet was not associated with SGA, LGA, or PTB (TABLE). The above associations between a DASH diet and HDP and GDM did not vary by neighborhood food access (interaction p-value=0.82 for HDP; 0.37 for GDM). Conclusions: DASH diet in early pregnancy was associated with lower risk of developing HDP and GDM in nulliparous individuals. Further interventional research is needed to understand whether promotion of a DASH diet in early pregnancy can reduce the risk of these APOs.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (10)

M

McKenzie Jancsura

The Ohio State University, Columbus, Ohio, United States

W

William Grobman

Brown University, Providence, Rhode Island, United States

J

Jiqiang Wu

The Ohio State University, Columbus, Ohio, United States

M

Michael Wirth

University of South Carolina, Columbia, South Carolina, United States

D

David Haas

Indiana University, Indianapolis, Indiana, United States

H

Hy Simhan

University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States

R

Robert Silver

University of Utah, Salt Lake City, Utah, United States

G

George Saade

Eastern Virginia Medical School, Norfolk, Virginia, United States

L

Lynn Yee

Northwestern, Chicago, Illinois, United States

K

kartik venkatesh

The Ohio State University, Columbus, Ohio, United States