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Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study

Although many studies have reported that a posteriori dietary pattern is associated with metabolic health, there is little evidence of an association between dietary patterns and different metabolic phenotypes. The present study aimed to examine the association between major dietary patterns and dif...

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Autores principales: Tanisawa, Kumpei, Ito, Tomoko, Kawakami, Ryoko, Usui, Chiyoko, Kawamura, Takuji, Suzuki, Katsuhiko, Sakamoto, Shizuo, Ishii, Kaori, Muraoka, Isao, Oka, Koichiro, Higuchi, Mitsuru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829333/
https://www.ncbi.nlm.nih.gov/pubmed/35155537
http://dx.doi.org/10.3389/fnut.2022.779967
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author Tanisawa, Kumpei
Ito, Tomoko
Kawakami, Ryoko
Usui, Chiyoko
Kawamura, Takuji
Suzuki, Katsuhiko
Sakamoto, Shizuo
Ishii, Kaori
Muraoka, Isao
Oka, Koichiro
Higuchi, Mitsuru
author_facet Tanisawa, Kumpei
Ito, Tomoko
Kawakami, Ryoko
Usui, Chiyoko
Kawamura, Takuji
Suzuki, Katsuhiko
Sakamoto, Shizuo
Ishii, Kaori
Muraoka, Isao
Oka, Koichiro
Higuchi, Mitsuru
author_sort Tanisawa, Kumpei
collection PubMed
description Although many studies have reported that a posteriori dietary pattern is associated with metabolic health, there is little evidence of an association between dietary patterns and different metabolic phenotypes. The present study aimed to examine the association between major dietary patterns and different metabolic phenotypes (metabolically healthy non-obese [MHNO], metabolically unhealthy non-obese [MUNO], metabolically healthy obese [MHO], and metabolically unhealthy obese [MUO]) in middle-aged and elderly Japanese adults. This cross-sectional study enrolled 2,170 Japanese adults aged ≥40 years. The four different metabolic phenotypes were determined based on the presence of obesity, abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. The major dietary patterns were determined using principal component analysis based on energy-adjusted food intake. Two dietary patterns were identified: the healthy dietary pattern, which was characterized by a high intake of vegetables, fruits, potatoes, soy products, mushrooms, seaweeds, and fish; and the alcohol dietary pattern, which was characterized by a high intake of alcoholic beverages, liver, chicken, and fish. The healthy dietary pattern was associated with the MHNO and MHO phenotypes (MUNO and MUO as reference groups, respectively), and the multivariate-adjusted odds ratios (ORs) (95% confidence intervals [CIs]) in the highest quartile of healthy dietary pattern score with the lowest quartile as the reference category were 2.10 (1.40–3.15) and 1.86 (1.06–3.25), respectively. Conversely, the alcohol dietary pattern was inversely associated with the MHNO and MHO phenotypes, while the multivariate-adjusted ORs (95% CIs) in the highest quartile of the alcohol dietary pattern score with the lowest quartile as the reference category were 0.63 (0.42–0.94) and 0.45 (0.26–0.76), respectively. There were no significant interactions between sex and healthy/alcohol dietary patterns in the prevalence of the MHNO and MHO phenotypes. In conclusion, the present study's findings suggest that major dietary patterns are associated with different metabolic phenotypes in middle-aged and elderly Japanese adults. These findings provide useful evidence for maintaining metabolic health through diet regardless of obesity status.
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spelling pubmed-88293332022-02-11 Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study Tanisawa, Kumpei Ito, Tomoko Kawakami, Ryoko Usui, Chiyoko Kawamura, Takuji Suzuki, Katsuhiko Sakamoto, Shizuo Ishii, Kaori Muraoka, Isao Oka, Koichiro Higuchi, Mitsuru Front Nutr Nutrition Although many studies have reported that a posteriori dietary pattern is associated with metabolic health, there is little evidence of an association between dietary patterns and different metabolic phenotypes. The present study aimed to examine the association between major dietary patterns and different metabolic phenotypes (metabolically healthy non-obese [MHNO], metabolically unhealthy non-obese [MUNO], metabolically healthy obese [MHO], and metabolically unhealthy obese [MUO]) in middle-aged and elderly Japanese adults. This cross-sectional study enrolled 2,170 Japanese adults aged ≥40 years. The four different metabolic phenotypes were determined based on the presence of obesity, abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. The major dietary patterns were determined using principal component analysis based on energy-adjusted food intake. Two dietary patterns were identified: the healthy dietary pattern, which was characterized by a high intake of vegetables, fruits, potatoes, soy products, mushrooms, seaweeds, and fish; and the alcohol dietary pattern, which was characterized by a high intake of alcoholic beverages, liver, chicken, and fish. The healthy dietary pattern was associated with the MHNO and MHO phenotypes (MUNO and MUO as reference groups, respectively), and the multivariate-adjusted odds ratios (ORs) (95% confidence intervals [CIs]) in the highest quartile of healthy dietary pattern score with the lowest quartile as the reference category were 2.10 (1.40–3.15) and 1.86 (1.06–3.25), respectively. Conversely, the alcohol dietary pattern was inversely associated with the MHNO and MHO phenotypes, while the multivariate-adjusted ORs (95% CIs) in the highest quartile of the alcohol dietary pattern score with the lowest quartile as the reference category were 0.63 (0.42–0.94) and 0.45 (0.26–0.76), respectively. There were no significant interactions between sex and healthy/alcohol dietary patterns in the prevalence of the MHNO and MHO phenotypes. In conclusion, the present study's findings suggest that major dietary patterns are associated with different metabolic phenotypes in middle-aged and elderly Japanese adults. These findings provide useful evidence for maintaining metabolic health through diet regardless of obesity status. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8829333/ /pubmed/35155537 http://dx.doi.org/10.3389/fnut.2022.779967 Text en Copyright © 2022 Tanisawa, Ito, Kawakami, Usui, Kawamura, Suzuki, Sakamoto, Ishii, Muraoka, Oka and Higuchi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Tanisawa, Kumpei
Ito, Tomoko
Kawakami, Ryoko
Usui, Chiyoko
Kawamura, Takuji
Suzuki, Katsuhiko
Sakamoto, Shizuo
Ishii, Kaori
Muraoka, Isao
Oka, Koichiro
Higuchi, Mitsuru
Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title_full Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title_fullStr Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title_full_unstemmed Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title_short Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study
title_sort association between dietary patterns and different metabolic phenotypes in japanese adults: waseda's health study
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829333/
https://www.ncbi.nlm.nih.gov/pubmed/35155537
http://dx.doi.org/10.3389/fnut.2022.779967
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