ID | 115659 |
Author |
Iwasaki, Yuki
Tokushima University
Arisawa, Kokichi
Tokushima University
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Katsuura-Kamano, Sakurako
Tokushima University
Tokushima University Educator and Researcher Directory
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Tsukamoto, Mineko
Nagoya University
Kadomatsu, Yuka
Nagoya University
Okada, Rieko
Nagoya University
Hishida, Asahi
Nagoya University
Tanaka, Keitaro
Saga University
Hara, Megumi
Saga University
Takezaki, Toshiro
Kagoshima University
Shimatani, Keiichi
Kagoshima University
Ozaki, Etsuko
Kyoto Prefectural University of Medicine
Koyama, Teruhide
Kyoto Prefectural University of Medicine
Suzuki, Sadao
Nagoya City University
Nakagawa-Senda, Hiroko
Nagoya City University
Kuriki, Kiyonori
University of Shizuoka
Miyagawa, Naoko
National Institute of Health and Nutrition
Kadota, Aya
Shiga University of Medical Science
Ikezaki, Hiroaki
Kyushu University
Furusyo, Norihiro
Kyushu University
Oze, Isao
Aichi Cancer Center Research Institute
Ito, Hidemi
Aichi Cancer Center Research Institute
Mikami, Haruo
Chiba Cancer Center Research Institute
Nakamura, Yohko
Chiba Cancer Center Research Institute
Wakai, Kenji
Nagoya University
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Keywords | nutrient pattern
metabolic syndrome
factor analysis
cross-sectional study
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Content Type |
Journal Article
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Description | The association between nutrient patterns and metabolic syndrome (MetS) has not been examined in a Japanese population. A cross-sectional study was performed on 30,108 participants (aged 35–69 years) in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. Dietary intake was assessed using a 46-item food frequency questionnaire. MetS was diagnosed according to the Joint Interim Statement Criteria of 2009, using body mass index instead of waist circumference. Factor analysis was applied to energy-adjusted intake of 21 nutrients, and three nutrient patterns were extracted: Factor 1 (fiber, potassium and vitamins pattern); Factor 2 (fats and fat-soluble vitamins pattern); and Factor 3 (saturated fatty acids, calcium and vitamin B2 pattern). In multiple logistic regression analysis adjusted for sex, age, and other potential confounders, Factor 1 scores were associated with a significantly reduced odds ratio (OR) of MetS and all five components. Factor 2 scores were associated with significantly increased prevalence of MetS, obesity, and high blood pressure. Factor 3 scores were significantly associated with lower OR of MetS, high blood pressure, high serum triglycerides and low HDL cholesterol levels. Analysis of nutrient patterns may be useful to assess the overall quality of diet and its association with MetS.
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Journal Title |
Nutrients
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ISSN | 20726643
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Publisher | MDPI
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Volume | 11
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Issue | 5
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Start Page | 990
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Published Date | 2019-04-30
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Rights | 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/).
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
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language |
eng
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TextVersion |
Publisher
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departments |
Medical Sciences
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