Abstract

CVD is the leading cause of death worldwide and, after dementia, is the second biggest cause of death for women. In England, it accounts for one in four of all deaths. Lifestyle modifications represent the primary route both to reduce CVD risk factors and prevent CVD outcomes. Diet constitutes one of the key modifiable risk factors in the aetiology of CVD. We investigated the relationship between nine main dietary indices and a comprehensive range of CVD risk factors in 2590 women from TwinsUK. After adjustment for multiple testing, we found that the Dietary Approaches to Stop Hypertension (DASH) diet was inversely correlated with some of the most common CVD risk factors (BMI, visceral fat (VF), TAG, insulin, homoeostasis model assessment of insulin resistance (HOMA2-IR) and atherosclerotic CVD (ASCVD) risk) with PFDR ranging from 6·28 × 10-7 to 5·63 × 10-4. Similar association patterns were detected across most of the dietary indices analysed. In our post hoc investigation, to determine if any specific food groups were driving associations between the DASH score and markers of cardiometabolic risk, we found that increased BMI, VF, HOMA2-IR, ASCVD risk, insulin and TAG levels were directly correlated with red meat consumption (PFDR ranging from 4·65 × 10-9 to 7·98 × 10-3) and inversely correlated with whole-grain cereal consumption (PFDR ranging from 1·26 × 10-6 to 8·28 × 10-3). Our findings revealed that the DASH diet is associated with a more favourable CVD risk profile, suggesting that this diet may be a candidate dietary pattern to supplement current UK dietary recommendations for CVD prevention.

Highlights

  • CVD in the UK account for approximately 170 000 deaths per year[1]

  • The main aim of this study is to investigate the relationship between nine main dietary indices[10] and a comprehensive range of CVD risk factors including: estimated atherosclerotic CVD (ASCVD) risk, anthropometric (BMI and visceral fat (VF)), lipid profile (TAG, LDL, HDL, total cholesterol), vascular function and glucose metabolism (insulin, glucose and homoeostasis model assessment of insulin resistance (HOMA2-IR))

  • We observed the strongest correlations between Original Mediterranean Score (O-Med) and Amended Mediterranean Score (A-Med) (r 0·85), whereas weakest correlation was between Healthy Eating Index (HEI) and Dietary Reference Values (DRV) (r −0·09)

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Summary

Introduction

CVD in the UK account for approximately 170 000 deaths per year[1]. CVD prevalence is higher in males when compared with pre-menopausal women[2]. It has been observed that in post-menopausal women (45–54 years), CVD prevalence is higher than men[3]. Differential patterns have been observed for CVD risk factors between men and women. 50 % higher relative risk of CVD amongst women compared with men[4]. Prospective cohort studies have suggested that nonfasting blood TAG is a significant CVD risk factor with an approximately 2-fold greater predictive ability in women v. Diet is a key modifiable lifestyle factor in the aetiology of CVD[8]. Research in this area has focused on individual macronutrients, such as fats and carbohydrates. Combinations of foods defined a priori (referred as dietary ‘patterns’) are increasingly reported in nutritional epidemiological literature in relation to CVD outcomes[10].

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