Association Between Food Patterns and Gray Matter Volume
Diet and nutrition play a key role in the promotion and maintenance of good health, as they are important modifiable risk factors for chronic diseases. A growing number of studies indicate that optimal food intake and optimal physical activity are essential for the gray matter volume (GMV). However,...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2019-10-01
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Series: | Frontiers in Human Neuroscience |
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Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2019.00384/full |
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author | Keisuke Kokubun Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa |
author_facet | Keisuke Kokubun Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa |
author_sort | Keisuke Kokubun |
collection | DOAJ |
description | Diet and nutrition play a key role in the promotion and maintenance of good health, as they are important modifiable risk factors for chronic diseases. A growing number of studies indicate that optimal food intake and optimal physical activity are essential for the gray matter volume (GMV). However, the precise definition of “optimal” is extremely difficult and a topic of several studies. In the current research, we used the magnetic resonance imaging (MRI)-based normalized GMV (nGMV), for monitoring brain conditions based on GMV. By analyzing the relationship between the nGMV of 171 healthy Japanese participants and the results of a brief self-administered diet history questionnaire (BDHQ), we found that while nGMV was high in the participants with high intake of milk and yogurt, it was low in the participants of “alcohol and animal foods dietary pattern” (high intake of alcohol and animal foods). On the other hand, another food pattern “vegetable-animal balanced dietary pattern” (balanced intake of vegetables and animal foods) has no significant association with nGMV, indicating that although a diet consisting of a good balance of vegetables and animal foods may not lead to brain atrophy, it might not positively contribute to a higher nGMV. nGMV, as an objective measure of the association between food intake and the brain, might provide useful information for “optimal” food intake for GMV. |
first_indexed | 2024-12-13T08:00:40Z |
format | Article |
id | doaj.art-bf679b8ff2284c78800fbd33d26bbc23 |
institution | Directory Open Access Journal |
issn | 1662-5161 |
language | English |
last_indexed | 2024-12-13T08:00:40Z |
publishDate | 2019-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Human Neuroscience |
spelling | doaj.art-bf679b8ff2284c78800fbd33d26bbc232022-12-21T23:54:27ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612019-10-011310.3389/fnhum.2019.00384483577Association Between Food Patterns and Gray Matter VolumeKeisuke Kokubun0Yoshinori Yamakawa1Yoshinori Yamakawa2Yoshinori Yamakawa3Yoshinori Yamakawa4Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, JapanOffice of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, JapanImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Chiyoda, JapanInstitute of Innovative Research, Tokyo Institute of Technology, Meguro, JapanNTT Data Institute of Management Consulting, Inc., Minato, JapanDiet and nutrition play a key role in the promotion and maintenance of good health, as they are important modifiable risk factors for chronic diseases. A growing number of studies indicate that optimal food intake and optimal physical activity are essential for the gray matter volume (GMV). However, the precise definition of “optimal” is extremely difficult and a topic of several studies. In the current research, we used the magnetic resonance imaging (MRI)-based normalized GMV (nGMV), for monitoring brain conditions based on GMV. By analyzing the relationship between the nGMV of 171 healthy Japanese participants and the results of a brief self-administered diet history questionnaire (BDHQ), we found that while nGMV was high in the participants with high intake of milk and yogurt, it was low in the participants of “alcohol and animal foods dietary pattern” (high intake of alcohol and animal foods). On the other hand, another food pattern “vegetable-animal balanced dietary pattern” (balanced intake of vegetables and animal foods) has no significant association with nGMV, indicating that although a diet consisting of a good balance of vegetables and animal foods may not lead to brain atrophy, it might not positively contribute to a higher nGMV. nGMV, as an objective measure of the association between food intake and the brain, might provide useful information for “optimal” food intake for GMV.https://www.frontiersin.org/article/10.3389/fnhum.2019.00384/fullnormalized gray matter volumebrief self-administered diet history questionnairefood patternsmagnetic resonance imagingalcohol and animal foods dietary patternvegetable-animal balanced dietary pattern |
spellingShingle | Keisuke Kokubun Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa Yoshinori Yamakawa Association Between Food Patterns and Gray Matter Volume Frontiers in Human Neuroscience normalized gray matter volume brief self-administered diet history questionnaire food patterns magnetic resonance imaging alcohol and animal foods dietary pattern vegetable-animal balanced dietary pattern |
title | Association Between Food Patterns and Gray Matter Volume |
title_full | Association Between Food Patterns and Gray Matter Volume |
title_fullStr | Association Between Food Patterns and Gray Matter Volume |
title_full_unstemmed | Association Between Food Patterns and Gray Matter Volume |
title_short | Association Between Food Patterns and Gray Matter Volume |
title_sort | association between food patterns and gray matter volume |
topic | normalized gray matter volume brief self-administered diet history questionnaire food patterns magnetic resonance imaging alcohol and animal foods dietary pattern vegetable-animal balanced dietary pattern |
url | https://www.frontiersin.org/article/10.3389/fnhum.2019.00384/full |
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