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Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study
PURPOSE: Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349755/ https://www.ncbi.nlm.nih.gov/pubmed/36917281 http://dx.doi.org/10.1007/s00394-023-03095-y |
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author | Vahid, Farhad Hoge, Axelle Hébert, James R. Bohn, Torsten |
author_facet | Vahid, Farhad Hoge, Axelle Hébert, James R. Bohn, Torsten |
author_sort | Vahid, Farhad |
collection | PubMed |
description | PURPOSE: Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary indices and their association with serum/metabolic parameters of disease risk. METHODS: Dietary intakes of the general adult population (n = 1404, 25–79 years) were assessed by a validated food-frequency questionnaire (174 items). The French ANSES-Ciqual food composition database was used to compute nutrient intakes. Seven indicators were calculated to investigate participants’ diet quality: the Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension Score (DASH-S), Mediterranean Diet Score (MDS), Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Dietary Antioxidant Index (DAI), and Naturally Nutrient-Rich Score (NNRS). Various serum/metabolic parameters were used in the validity and association analyses, including markers of inflammation, blood glucose, and blood lipid status. RESULTS: Following linear regression models adjusted for confounders, the DASH-S was significantly associated with most metabolic parameters (14, e.g., inversely with blood pressure, triglycerides, urinary sodium, uric acid, and positively with serum vitamin D), followed by the DQI-I (13, e.g., total cholesterol, apo-A/B, uric acid, and blood pressure) and the AHEI (11, e.g., apo-A, uric acid, serum vitamin D, diastolic blood pressure and vascular age). CONCLUSION: Food-group-based indices, including DASH-S, DQI-I, and AHEI, were good predictors for serum/metabolic parameters, while nutrient-based indices, such as the DAI or NNRS, were less related to biological markers and, thus, less suitable to reflect diet quality in a general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-023-03095-y. |
format | Online Article Text |
id | pubmed-10349755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103497552023-07-17 Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study Vahid, Farhad Hoge, Axelle Hébert, James R. Bohn, Torsten Eur J Nutr Original Contribution PURPOSE: Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary indices and their association with serum/metabolic parameters of disease risk. METHODS: Dietary intakes of the general adult population (n = 1404, 25–79 years) were assessed by a validated food-frequency questionnaire (174 items). The French ANSES-Ciqual food composition database was used to compute nutrient intakes. Seven indicators were calculated to investigate participants’ diet quality: the Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension Score (DASH-S), Mediterranean Diet Score (MDS), Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Dietary Antioxidant Index (DAI), and Naturally Nutrient-Rich Score (NNRS). Various serum/metabolic parameters were used in the validity and association analyses, including markers of inflammation, blood glucose, and blood lipid status. RESULTS: Following linear regression models adjusted for confounders, the DASH-S was significantly associated with most metabolic parameters (14, e.g., inversely with blood pressure, triglycerides, urinary sodium, uric acid, and positively with serum vitamin D), followed by the DQI-I (13, e.g., total cholesterol, apo-A/B, uric acid, and blood pressure) and the AHEI (11, e.g., apo-A, uric acid, serum vitamin D, diastolic blood pressure and vascular age). CONCLUSION: Food-group-based indices, including DASH-S, DQI-I, and AHEI, were good predictors for serum/metabolic parameters, while nutrient-based indices, such as the DAI or NNRS, were less related to biological markers and, thus, less suitable to reflect diet quality in a general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-023-03095-y. Springer Berlin Heidelberg 2023-03-14 2023 /pmc/articles/PMC10349755/ /pubmed/36917281 http://dx.doi.org/10.1007/s00394-023-03095-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Contribution Vahid, Farhad Hoge, Axelle Hébert, James R. Bohn, Torsten Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title | Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title_full | Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title_fullStr | Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title_full_unstemmed | Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title_short | Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study |
title_sort | association of diet quality indices with serum and metabolic biomarkers in participants of the oriscav-lux-2 study |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349755/ https://www.ncbi.nlm.nih.gov/pubmed/36917281 http://dx.doi.org/10.1007/s00394-023-03095-y |
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