Is It Feasible to Predict Cardiovascular Risk among Healthy Vegans, Lacto-/Ovo-Vegetarians, Pescatarians, and

Izabela Kwiatkowska1, Jakub Olszak2, Alicja Brożek1

  • 1Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland.

Insights

Cardiovascular risk assessment in young adults is challenging. This study found dietary patterns influence cardiovascular disease risk, with omnivores showing higher risk and vegans lower risk, using novel metrics and biomarkers.

Area of Science:

  • Cardiovascular Medicine
  • Nutritional Science
  • Preventive Cardiology

Background:

  • Cardiovascular disease (CVD) is a leading cause of mortality globally.
  • Current cardiovascular (CV) risk assessment guidelines for young adults lack certainty.
  • Earlier diagnostic tools for CVD are needed, especially for younger populations.

Purpose of the Study:

  • To evaluate the feasibility of CV risk estimation in healthy individuals under 40.
  • To compare CV risk across different dietary patterns (vegan, vegetarian, pescatarian, omnivore).
  • To explore the utility of novel risk metrics and biomarkers for early CV risk detection.

Main Methods:

  • Development and application of four novel metrics with selected CV risk classifiers.
  • Assessment of healthy participants (n=155) across four dietary groups during the pandemic.
  • Analysis of relationships between created metrics and non-basic biomarkers (ApoA1, IL-6, HCY, hsCRP).

Main Results:

  • Dietary patterns influenced CV risk predictions, with meat-consuming groups showing higher predicted risk.
  • Statistically significant associations were found between metrics and biomarkers: ApoA1 (OMN), IL-6 (PESCA), HCY (VEGAN), and hsCRP (OMN+PESCA).
  • The omnivore group exhibited the highest predicted future CV risk, while the vegan group showed the lowest.

Conclusions:

  • Predicting CV risk in healthy young adults based on diet is challenging yet feasible using laboratory assessments and novel metrics.
  • Dietary patterns play a significant role in modulating CV risk factors in younger populations.
  • Findings suggest a potential gradient of CV risk from vegan to omnivore diets in individuals under 40.

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