Cargando…
How do short-term associations between diet quality and metabolic risk vary with age?
PURPOSE: Poor diet quality is one of the key contributors to poor cardiovascular health and associated morbidity and mortality. This study aimed to assess how the short-term associations between diet quality and metabolic risk factors change with age. METHODS: This longitudinal, observational study...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867538/ https://www.ncbi.nlm.nih.gov/pubmed/32399624 http://dx.doi.org/10.1007/s00394-020-02266-5 |
_version_ | 1783648314092158976 |
---|---|
author | Winpenny, Eleanor M. van Sluijs, Esther M. F. Forouhi, Nita G. |
author_facet | Winpenny, Eleanor M. van Sluijs, Esther M. F. Forouhi, Nita G. |
author_sort | Winpenny, Eleanor M. |
collection | PubMed |
description | PURPOSE: Poor diet quality is one of the key contributors to poor cardiovascular health and associated morbidity and mortality. This study aimed to assess how the short-term associations between diet quality and metabolic risk factors change with age. METHODS: This longitudinal, observational study used data from the National Diet and Nutrition Survey (2008–2016) (n = 2024). Diet quality was measured using the Dietary Approaches to Stop Hypertension (DASH) index, fruit and vegetable (F&V) intake, and a F&V biomarker score. We assessed associations between measures of diet quality and a metabolic risk z score (generated from five metabolic risk factors) among those aged 11–60 years, and then tested effect modification by age group (adolescents 11–18 years, young adults 19–35 years, mid-aged adults 36–60 years). RESULTS: Analysis across all age groups showed inverse associations between standardised DASH index and metabolic risk z score of − 0.19 (95% CI − 0.26, − 0.11). These associations were moderated by age group, with strong associations seen in mid-aged adults: − 0.27 (95% CI − 0.39, − 0.16), but associations were significantly attenuated in young adults [− 0.10 (95% CI − 0.22, 0.01)] and adolescents [0.03 (95% CI − 0.05, 0.11)]. Similar results were found for F&V intake and F&V biomarker score. CONCLUSIONS: Short-term associations between diet quality and metabolic risk are not consistent across adolescent and young adult age groups, suggesting that mechanisms by which diet impacts on metabolic risk may be acting differently in younger age groups compared to adults. Further research is warranted using longitudinal study designs and replication in different populations to understand changes in determinants of cardiometabolic health with age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00394-020-02266-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7867538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78675382021-02-16 How do short-term associations between diet quality and metabolic risk vary with age? Winpenny, Eleanor M. van Sluijs, Esther M. F. Forouhi, Nita G. Eur J Nutr Original Contribution PURPOSE: Poor diet quality is one of the key contributors to poor cardiovascular health and associated morbidity and mortality. This study aimed to assess how the short-term associations between diet quality and metabolic risk factors change with age. METHODS: This longitudinal, observational study used data from the National Diet and Nutrition Survey (2008–2016) (n = 2024). Diet quality was measured using the Dietary Approaches to Stop Hypertension (DASH) index, fruit and vegetable (F&V) intake, and a F&V biomarker score. We assessed associations between measures of diet quality and a metabolic risk z score (generated from five metabolic risk factors) among those aged 11–60 years, and then tested effect modification by age group (adolescents 11–18 years, young adults 19–35 years, mid-aged adults 36–60 years). RESULTS: Analysis across all age groups showed inverse associations between standardised DASH index and metabolic risk z score of − 0.19 (95% CI − 0.26, − 0.11). These associations were moderated by age group, with strong associations seen in mid-aged adults: − 0.27 (95% CI − 0.39, − 0.16), but associations were significantly attenuated in young adults [− 0.10 (95% CI − 0.22, 0.01)] and adolescents [0.03 (95% CI − 0.05, 0.11)]. Similar results were found for F&V intake and F&V biomarker score. CONCLUSIONS: Short-term associations between diet quality and metabolic risk are not consistent across adolescent and young adult age groups, suggesting that mechanisms by which diet impacts on metabolic risk may be acting differently in younger age groups compared to adults. Further research is warranted using longitudinal study designs and replication in different populations to understand changes in determinants of cardiometabolic health with age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00394-020-02266-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-05-13 2021 /pmc/articles/PMC7867538/ /pubmed/32399624 http://dx.doi.org/10.1007/s00394-020-02266-5 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Contribution Winpenny, Eleanor M. van Sluijs, Esther M. F. Forouhi, Nita G. How do short-term associations between diet quality and metabolic risk vary with age? |
title | How do short-term associations between diet quality and metabolic risk vary with age? |
title_full | How do short-term associations between diet quality and metabolic risk vary with age? |
title_fullStr | How do short-term associations between diet quality and metabolic risk vary with age? |
title_full_unstemmed | How do short-term associations between diet quality and metabolic risk vary with age? |
title_short | How do short-term associations between diet quality and metabolic risk vary with age? |
title_sort | how do short-term associations between diet quality and metabolic risk vary with age? |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867538/ https://www.ncbi.nlm.nih.gov/pubmed/32399624 http://dx.doi.org/10.1007/s00394-020-02266-5 |
work_keys_str_mv | AT winpennyeleanorm howdoshorttermassociationsbetweendietqualityandmetabolicriskvarywithage AT vansluijsesthermf howdoshorttermassociationsbetweendietqualityandmetabolicriskvarywithage AT forouhinitag howdoshorttermassociationsbetweendietqualityandmetabolicriskvarywithage |