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Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study

BACKGROUND: Diet is a modifiable factor affecting sarcopenia, and accumulating evidence links dietary factors to muscle mass, strength, and function in older adults. However, few studies have examined the association of dietary patterns with sarcopenia. This study examined the association of dietary...

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Autores principales: Yokoyama, Yuri, Kitamura, Akihiko, Seino, Satoshi, Kim, Hunkyung, Obuchi, Shuichi, Kawai, Hisashi, Hirano, Hirohiko, Watanabe, Yutaka, Motokawa, Keiko, Narita, Miki, Shinkai, Shoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814431/
https://www.ncbi.nlm.nih.gov/pubmed/33461556
http://dx.doi.org/10.1186/s12937-021-00665-w
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author Yokoyama, Yuri
Kitamura, Akihiko
Seino, Satoshi
Kim, Hunkyung
Obuchi, Shuichi
Kawai, Hisashi
Hirano, Hirohiko
Watanabe, Yutaka
Motokawa, Keiko
Narita, Miki
Shinkai, Shoji
author_facet Yokoyama, Yuri
Kitamura, Akihiko
Seino, Satoshi
Kim, Hunkyung
Obuchi, Shuichi
Kawai, Hisashi
Hirano, Hirohiko
Watanabe, Yutaka
Motokawa, Keiko
Narita, Miki
Shinkai, Shoji
author_sort Yokoyama, Yuri
collection PubMed
description BACKGROUND: Diet is a modifiable factor affecting sarcopenia, and accumulating evidence links dietary factors to muscle mass, strength, and function in older adults. However, few studies have examined the association of dietary patterns with sarcopenia. This study examined the association of dietary patterns derived by reduced-rank regression (RRR) with sarcopenia and its components in community-dwelling older Japanese. METHODS: We conducted a cross-sectional study of 1606 community-dwelling adults aged 65 years or older. Dietary intake was assessed by a validated, self-administered diet history questionnaire. Nutrient-derived dietary patterns were identified by using RRR, with sarcopenia-related nutrients (protein, vitamin D, vitamin C, vitamin E, folate, vitamin K, magnesium, iron, and calcium intakes) as response variables. Sarcopenia was defined by using the algorithm of the Asian Working Group for Sarcopenia 2019. Multivariate regression and logistic regression were used to examine the association of dietary patterns with sarcopenia and its components. RESULTS: The first RRR dietary pattern was characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruit and a low intake of rice and was associated with decreased prevalence of sarcopenia: the multivariable-adjusted odds ratio of sarcopenia was 0.57 (95% confidence interval, 0.34–0.94; p for trend=0.022) in the highest versus the lowest tertile of dietary pattern. This dietary pattern was also significantly positively associated with usual gait speed (β: 0.02, p=0.024). CONCLUSIONS: A dietary pattern characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruits and low rice intake was inversely associated with sarcopenia in community-dwelling older Japanese. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12937-021-00665-w.
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spelling pubmed-78144312021-01-19 Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study Yokoyama, Yuri Kitamura, Akihiko Seino, Satoshi Kim, Hunkyung Obuchi, Shuichi Kawai, Hisashi Hirano, Hirohiko Watanabe, Yutaka Motokawa, Keiko Narita, Miki Shinkai, Shoji Nutr J Research BACKGROUND: Diet is a modifiable factor affecting sarcopenia, and accumulating evidence links dietary factors to muscle mass, strength, and function in older adults. However, few studies have examined the association of dietary patterns with sarcopenia. This study examined the association of dietary patterns derived by reduced-rank regression (RRR) with sarcopenia and its components in community-dwelling older Japanese. METHODS: We conducted a cross-sectional study of 1606 community-dwelling adults aged 65 years or older. Dietary intake was assessed by a validated, self-administered diet history questionnaire. Nutrient-derived dietary patterns were identified by using RRR, with sarcopenia-related nutrients (protein, vitamin D, vitamin C, vitamin E, folate, vitamin K, magnesium, iron, and calcium intakes) as response variables. Sarcopenia was defined by using the algorithm of the Asian Working Group for Sarcopenia 2019. Multivariate regression and logistic regression were used to examine the association of dietary patterns with sarcopenia and its components. RESULTS: The first RRR dietary pattern was characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruit and a low intake of rice and was associated with decreased prevalence of sarcopenia: the multivariable-adjusted odds ratio of sarcopenia was 0.57 (95% confidence interval, 0.34–0.94; p for trend=0.022) in the highest versus the lowest tertile of dietary pattern. This dietary pattern was also significantly positively associated with usual gait speed (β: 0.02, p=0.024). CONCLUSIONS: A dietary pattern characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruits and low rice intake was inversely associated with sarcopenia in community-dwelling older Japanese. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12937-021-00665-w. BioMed Central 2021-01-18 /pmc/articles/PMC7814431/ /pubmed/33461556 http://dx.doi.org/10.1186/s12937-021-00665-w Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yokoyama, Yuri
Kitamura, Akihiko
Seino, Satoshi
Kim, Hunkyung
Obuchi, Shuichi
Kawai, Hisashi
Hirano, Hirohiko
Watanabe, Yutaka
Motokawa, Keiko
Narita, Miki
Shinkai, Shoji
Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title_full Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title_fullStr Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title_full_unstemmed Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title_short Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study
title_sort association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older japanese: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814431/
https://www.ncbi.nlm.nih.gov/pubmed/33461556
http://dx.doi.org/10.1186/s12937-021-00665-w
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