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Associations between diet quality scores and cardiometabolic disease risk markers in healthy adults: A narrative review

Published online by Cambridge University Press:  08 March 2023

A. Yilmaz
Affiliation:
Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Reading, UK
M. Weech
Affiliation:
Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Reading, UK
K.G. Jackson
Affiliation:
Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Reading, UK
J.A. Lovegrove
Affiliation:
Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Reading, UK
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2023

Diet quality is a public health priority as a poor diet is associated with cardiometabolic diseases (CMD) and deaths worldwide(Reference Chen, Shi and Tang1). Although many diet quality scores/indexes (DQS) have been defined and used for epidemiological purposes, there is uncertainty over how a priori-defined DQS are associated with CMD outcomes(Reference Fransen and Ocké2,Reference Waijers, Feskens and Ocké3) . The aim of this narrative review was to identify the DQS commonly used to assess the relationship between diet quality and CMD risk markers in healthy adults.

Using a systematic approach, all relevant literature was identified using predefined exposure [e.g., diet quality score and ‘healthy eating index’ (HEI)] and outcome [e.g., ‘body mass index’ (BMI), ‘waist circumference’ (WC) and ‘blood pressure’ (BP)] search terms. ‘Title and abstract’ [tiab] was included after each of the 'exposure' search terms and searching was carried out using PubMed and ISI Web of Science databases. Peer-reviewed articles published in English until October 2021 were included. The screening process was performed using the web-based software, Rayyan(Reference Ouzzani, Hammady and Fedorowicz4), which facilitates systematic reviews. The relevance of each publication's title and abstract was assessed by one author (AY), and any queries were discussed with the other authors. Studies with children (aged < 18), animals, or individuals with any diagnosed health conditions (such as diabetes, cancer, kidney disorders, or eating disorders), pregnant women, DQS validation papers, and those focusing on weight loss were excluded. To be considered a common DQS, it had to be used in at least 10 publications and represented a further exclusion criterion.

A total of 15,204 publications were found using the specified search terms. After screening the title and abstract of the publications, a total of 57 relevant research articles were identified. The common DQS included the HEI-2010 (n = 19), the 2010 Alternate HEI (n = 15), the modified Mediterranean Diet Score (mMDS, n = 14), the Alternate Mediterranean Diet score (aMED, n = 11), and the Dietary Approaches to Stop Hypertension (DASH) score (n = 19). In general, inverse associations were evident between the HEI with BMI and WC and aMED with BMI. Although higher adherence to the DASH score was positively associated with high-density lipoprotein cholesterol (HDL-C), inconsistent findings were found between mMDS with low-density lipoprotein cholesterol and HDL-C. No relationship was found between any of the scores and total cholesterol, whereas the AHEI showed very limited evidence with CMD risk markers. Inverse associations were observed between aMED and fasting triacylglycerol concentrations and HEI with markers of insulin resistance and fasting insulin concentration. As expected, a higher DASH score was related to a lower systolic BP but the associations with diastolic BP were inconsistent with both the DASH score and aMED.

In conclusion, our literature review has revealed limited evidence exists on the relationship between common DQS and established and novel CMD risk markers and warrants further investigation.

Acknowledgments

Many thanks to my supervisors; Prof Julie Lovegrove, Dr. Kim Jackson & Dr. Michelle Weech, the department: Hugh sinclair unit of human nutrition at the University of Reading, and my sponsor, the Ministry of National Education of the Republic of Turkey.

Footnotes

This article was updated on 4th April 2023.

References

Chen, Q, Shi, X, Tang, Y et al. (2020) JAAD 83(5), 1331–40.CrossRefGoogle Scholar
Fransen, HP & Ocké, MC (2008) Curr Opin Clin Nutr Metab Care 11(5), 559–65.CrossRefGoogle Scholar
Waijers, PMCM, Feskens, EJM & Ocké, MC (2007) Br J Nutr 97(2), 219–31.CrossRefGoogle Scholar
Ouzzani, M, Hammady, H & Fedorowicz, Z (2016) Methodol 5(1).Google Scholar