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Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort

There is a lack of evidence to determine if diet quality is associated with cognitive performance in older adults. Therefore, the aim of this study was to examine whether diet quality is associated with cognitive performance among older adults. A cross-sectional, secondary analysis of baseline data...

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Autores principales: Li, Pui Fung, McEvoy, Mark A., McKiernan, Sharmaine, Schofield, Peter W., MacDonald-Wicks, Lesley K., Patterson, Amanda J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000829/
https://www.ncbi.nlm.nih.gov/pubmed/33799630
http://dx.doi.org/10.3390/nu13030909
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author Li, Pui Fung
McEvoy, Mark A.
McKiernan, Sharmaine
Schofield, Peter W.
MacDonald-Wicks, Lesley K.
Patterson, Amanda J.
author_facet Li, Pui Fung
McEvoy, Mark A.
McKiernan, Sharmaine
Schofield, Peter W.
MacDonald-Wicks, Lesley K.
Patterson, Amanda J.
author_sort Li, Pui Fung
collection PubMed
description There is a lack of evidence to determine if diet quality is associated with cognitive performance in older adults. Therefore, the aim of this study was to examine whether diet quality is associated with cognitive performance among older adults. A cross-sectional, secondary analysis of baseline data from the Hunter Community Study (HCS), comparing diet quality, measured using the Australian Recommended Food Score (ARFS), along with validated cognitive performance instruments the Audio Recorded Cognitive Screen (ARCS) and the Mini-Mental State Examination (MMSE) were undertaken in adults aged 55–85 years, living in Newcastle, NSW, Australia. Adjusted linear regression analyses showed that, compared with the lowest ARFS quintile, those in the highest quintile had an ARCS score 5.883 units greater (p < 0.001; R(2) = 0.0098). Furthermore, when quintiles of ARFS score were tested against each ARCS sub-scale score, statistically significant associations were observed with the greatest effect for the Memory (β = 4.055; p = 0.001; R(2) = 0.0065) and Attention (β = 4.136; p = 0.002; R(2) = 0.0047) domains. No statistically significant associations were observed between quintiles of ARFS and MMSE score in the adjusted linear regression analyses. In conclusion, a positive association was observed between diet quality and cognitive performance within this sample of older Australian adults. Further investigation of the above association over time, when follow-up data becomes available, in longitudinal analysis is recommended.
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spelling pubmed-80008292021-03-28 Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort Li, Pui Fung McEvoy, Mark A. McKiernan, Sharmaine Schofield, Peter W. MacDonald-Wicks, Lesley K. Patterson, Amanda J. Nutrients Article There is a lack of evidence to determine if diet quality is associated with cognitive performance in older adults. Therefore, the aim of this study was to examine whether diet quality is associated with cognitive performance among older adults. A cross-sectional, secondary analysis of baseline data from the Hunter Community Study (HCS), comparing diet quality, measured using the Australian Recommended Food Score (ARFS), along with validated cognitive performance instruments the Audio Recorded Cognitive Screen (ARCS) and the Mini-Mental State Examination (MMSE) were undertaken in adults aged 55–85 years, living in Newcastle, NSW, Australia. Adjusted linear regression analyses showed that, compared with the lowest ARFS quintile, those in the highest quintile had an ARCS score 5.883 units greater (p < 0.001; R(2) = 0.0098). Furthermore, when quintiles of ARFS score were tested against each ARCS sub-scale score, statistically significant associations were observed with the greatest effect for the Memory (β = 4.055; p = 0.001; R(2) = 0.0065) and Attention (β = 4.136; p = 0.002; R(2) = 0.0047) domains. No statistically significant associations were observed between quintiles of ARFS and MMSE score in the adjusted linear regression analyses. In conclusion, a positive association was observed between diet quality and cognitive performance within this sample of older Australian adults. Further investigation of the above association over time, when follow-up data becomes available, in longitudinal analysis is recommended. MDPI 2021-03-11 /pmc/articles/PMC8000829/ /pubmed/33799630 http://dx.doi.org/10.3390/nu13030909 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Li, Pui Fung
McEvoy, Mark A.
McKiernan, Sharmaine
Schofield, Peter W.
MacDonald-Wicks, Lesley K.
Patterson, Amanda J.
Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title_full Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title_fullStr Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title_full_unstemmed Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title_short Diet Quality and Cognitive Performance in Australian Adults Aged 55–85 Years: A Cross-Sectional Analysis of the Hunter Community Study Cohort
title_sort diet quality and cognitive performance in australian adults aged 55–85 years: a cross-sectional analysis of the hunter community study cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000829/
https://www.ncbi.nlm.nih.gov/pubmed/33799630
http://dx.doi.org/10.3390/nu13030909
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