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Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank

PURPOSE: Research suggests that diet influences cognitive function and the risk for neurodegenerative disease. The present study aimed to determine whether a recently developed diet score, based on recommendations for dietary priorities for cardio metabolic health, was associated with fluid intellig...

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Autores principales: Schulz, Christina-Alexandra, Weinhold, Leonie, Schmid, Matthias, Nöthen, Markus M., Nöthlings, Ute
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899759/
https://www.ncbi.nlm.nih.gov/pubmed/36152054
http://dx.doi.org/10.1007/s00394-022-02976-y
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author Schulz, Christina-Alexandra
Weinhold, Leonie
Schmid, Matthias
Nöthen, Markus M.
Nöthlings, Ute
author_facet Schulz, Christina-Alexandra
Weinhold, Leonie
Schmid, Matthias
Nöthen, Markus M.
Nöthlings, Ute
author_sort Schulz, Christina-Alexandra
collection PubMed
description PURPOSE: Research suggests that diet influences cognitive function and the risk for neurodegenerative disease. The present study aimed to determine whether a recently developed diet score, based on recommendations for dietary priorities for cardio metabolic health, was associated with fluid intelligence, and whether these associations were modified by individual genetic disposition. METHODS: This research has been conducted using the UK Biobank Resource. Analyses were performed using self-report data on diet and the results for the verbal-numerical reasoning test of fluid intelligence of 104,895 individuals (46% male: mean age at recruitment 57.1 years (range 40–70)). For each participant, a diet score and a polygenic score (PGS) were constructed, which evaluated predefined cut-offs for the intake of fruit, vegetables, fish, processed meat, unprocessed meat, whole grain, and refined grain, and ranged from 0 (unfavorable) to 7 (favorable). To investigate whether the diet score was associated with fluid intelligence, and whether the association was modified by PGS, linear regression analyses were performed. RESULTS: The average diet score was 3.9 (SD 1.4). After adjustment for selected confounders, a positive association was found between baseline fluid intelligence and PGS (P < 0.001). No association was found between baseline fluid intelligence and diet score (P = 0.601), even after stratification for PGS, or in participants with longitudinal data available (n = 9,482). CONCLUSION: In this middle-aged cohort, no evidence was found for an association between the investigated diet score and either baseline or longitudinal fluid intelligence. However, as in previous reports, fluid intelligence was strongly associated with a PGS for general cognitive function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02976-y.
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spelling pubmed-98997592023-02-07 Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank Schulz, Christina-Alexandra Weinhold, Leonie Schmid, Matthias Nöthen, Markus M. Nöthlings, Ute Eur J Nutr Original Contribution PURPOSE: Research suggests that diet influences cognitive function and the risk for neurodegenerative disease. The present study aimed to determine whether a recently developed diet score, based on recommendations for dietary priorities for cardio metabolic health, was associated with fluid intelligence, and whether these associations were modified by individual genetic disposition. METHODS: This research has been conducted using the UK Biobank Resource. Analyses were performed using self-report data on diet and the results for the verbal-numerical reasoning test of fluid intelligence of 104,895 individuals (46% male: mean age at recruitment 57.1 years (range 40–70)). For each participant, a diet score and a polygenic score (PGS) were constructed, which evaluated predefined cut-offs for the intake of fruit, vegetables, fish, processed meat, unprocessed meat, whole grain, and refined grain, and ranged from 0 (unfavorable) to 7 (favorable). To investigate whether the diet score was associated with fluid intelligence, and whether the association was modified by PGS, linear regression analyses were performed. RESULTS: The average diet score was 3.9 (SD 1.4). After adjustment for selected confounders, a positive association was found between baseline fluid intelligence and PGS (P < 0.001). No association was found between baseline fluid intelligence and diet score (P = 0.601), even after stratification for PGS, or in participants with longitudinal data available (n = 9,482). CONCLUSION: In this middle-aged cohort, no evidence was found for an association between the investigated diet score and either baseline or longitudinal fluid intelligence. However, as in previous reports, fluid intelligence was strongly associated with a PGS for general cognitive function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02976-y. Springer Berlin Heidelberg 2022-09-24 2023 /pmc/articles/PMC9899759/ /pubmed/36152054 http://dx.doi.org/10.1007/s00394-022-02976-y Text en © The Author(s) 2022 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
Schulz, Christina-Alexandra
Weinhold, Leonie
Schmid, Matthias
Nöthen, Markus M.
Nöthlings, Ute
Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title_full Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title_fullStr Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title_full_unstemmed Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title_short Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank
title_sort analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from uk biobank
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899759/
https://www.ncbi.nlm.nih.gov/pubmed/36152054
http://dx.doi.org/10.1007/s00394-022-02976-y
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