Association of a healthy plant-based heart-protective diet with reduced cardiovascular disease incidence and mortality: findings from the UK Biobank Study

Abstract Importance Previous research examining the effects of omnivorous and plant-based diets on CVD outcomes has produced inconsistent findings, and the importance of diet quality is overlooked. Objective To assess the relation between adherence to a healthy plant-based, heart-protective diet and the risk of cardiovascular disease (CVD) events. Design: Prospective cohort study. Methods and Results 192,274 (mean age: 56.3±7.9 years, 43.3% males) participants in UK Biobank without CVD at baseline who completed a 24-hour recall questionnaire. Using data generated by Oxford WebQ, we developed a novel heart-protective diet score (HPDS) based on 22 food groups. Cox proportional hazard models were used to study associations. During a median follow-up of 12.3 years, there were 20,692 CVD events and 1,131 CVD deaths. After adjusting for demographics, Townsend deprivation index, lifestyle factors, and history of chronic diseases, participants in the top quartile of the HPDS were at the lower risk of overall CVD (HR: 0.92, 95% CI: 0.88 to 0.95), ischemic heart disease (HR: 0.88 [95% CI: 0.83 to 0.93]), myocardial infarction (HR: 0.82, 95% CI: 0.74 to 0.90), and heart failure (HR: 0.86, 95% CI: 0.78 to 0.95) than those in the bottom quartile. Participants who adhered closely to a healthy plant-based heart-protective diet had the lowest risk of overall CVD (HR: 0.72, 95% CI: 0.61 to 0.86), ischemic heart disease (HR: 0.68, 95% CI: 0.52 to 0.89), myocardial infarction (HR: 0.65, 95% CI: 0.46 to 0.91), and heart failure (HR: 0.51, 95% CI: 0.30 to 0.85) mortality. Conclusions and relevance: Adherence to a healthy plant-based heart-protective diet rich in non-starchy vegetables, fruits, whole grains, legumes, and fish, is associated with a reduced cardiovascular disease incidence and mortality. Further research in diverse ethnic populations is necessary to validate our findings and enhance their generalizability.