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American Heart Association

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Final ID: TH920

Plant-based Diet Quality and Cardiometabolic Biomarkers in Pregnant U.S. Women

Abstract Body: Introduction: Evidence suggests that high quality plant-based diets are associated with favorable cardiometabolic outcomes. However, there is no consensus on the optimal measure to assess the quality of plant-based diet. Furthermore, little is known about how plant-based diet quality relates to cardiometabolic health in pregnant women.
Hypothesis: We assessed the hypothesis that plant-based diet quality is associated with cardiometabolic biomarkers in pregnant women, with “healthy” plant foods linked to more favorable biomarker profiles.
Methods: Data from pregnant women who participated in seven cycles (2005 to 2020 pre-pandemic) of the cross-sectional National Health and Nutrition Examination Survey (NHANES) were used to calculate six independent plant-based diet quality indices. Multivariable log-linear regression models were used to assess associations between these indices and cardiometabolic biomarkers, adjusting for age, race/ethnicity, education, and ratio of family income to poverty.
Results: Dietary and cardiometabolic biomarker data were available for 580 pregnant women. Higher plant-based diet quality index values, independent of the index used, were positively associated with high-density lipoprotein cholesterol (HDL-C) concentrations, and negatively associated with triglyceride (TG)/HDL-C ratios. Additionally, those indices that accounted for plant foods quality were also associated with lower fasting insulin and TG concentrations, and homeostatic model assessment for insulin resistance (HOMA-IR).
Conclusions: In this NHANES cohort of pregnant women, higher values of all plant-based diet indices were associated with more favorable biomarkers of cardiometabolic health. Those plant-based diet indices that emphasized the quality of plant foods rather than penalizing the inclusion of animal foods were more strongly associated with cardiometabolic health biomarkers.
  • Shi, Ling  ( UNIV OF MASSACHUSETTS BOSTON , Boston , Massachusetts , United States )
  • Lichtenstein, Alice  ( TUFTS UNIVERSITY , Boston , Massachusetts , United States )
  • Hayman, Laura  ( University of Massachusetts Boston , Braintree , Massachusetts , United States )
  • Author Disclosures:
Meeting Info:

EPI-Lifestyle Scientific Sessions 2026

2026

Boston, Massachusetts

Session Info:

Poster Session 3

Thursday, 03/19/2026 , 05:00PM - 07:00PM

Poster Session

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