Associations of nutrient patterns with the prevalence of metabolic syndrome: Results from the baseline data of the Japan multi-institutional collaborative cohort study

Yuki Iwasaki, Kokichi Arisawa, Sakurako Katsuura-Kamano, Hirokazu Uemura, Mineko Tsukamoto, Yuka Kadomatsu, Rieko Okada, Asahi Hishida, Keitaro Tanaka, Megumi Hara, Toshiro Takezaki, Keiichi Shimatani, Etsuko Ozaki, Teruhide Koyama, Sadao Suzuki, Hiroko Nakagawa-Senda, Kiyonori Kuriki, Naoko Miyagawa, Aya Kadota, Hiroaki IkezakiNorihiro Furusyo, Isao Oze, Hidemi Ito, Haruo Mikami, Yohko Nakamura, Kenji Wakai

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number990
JournalNutrients
Volume11
Issue number5
DOIs
Publication statusPublished - May 2019

Fingerprint

metabolic syndrome
cohort studies
Japan
Cohort Studies
Food
nutrients
Vitamins
odds ratio
hypertension
Hypoalphalipoproteinemias
Fats
Odds Ratio
Hypertension
fat soluble vitamins
Riboflavin
waist circumference
nutritional adequacy
food frequency questionnaires
Waist Circumference
riboflavin

All Science Journal Classification (ASJC) codes

  • Food Science
  • Nutrition and Dietetics

Cite this

Associations of nutrient patterns with the prevalence of metabolic syndrome : Results from the baseline data of the Japan multi-institutional collaborative cohort study. / Iwasaki, Yuki; Arisawa, Kokichi; Katsuura-Kamano, Sakurako; Uemura, Hirokazu; Tsukamoto, Mineko; Kadomatsu, Yuka; Okada, Rieko; Hishida, Asahi; Tanaka, Keitaro; Hara, Megumi; Takezaki, Toshiro; Shimatani, Keiichi; Ozaki, Etsuko; Koyama, Teruhide; Suzuki, Sadao; Nakagawa-Senda, Hiroko; Kuriki, Kiyonori; Miyagawa, Naoko; Kadota, Aya; Ikezaki, Hiroaki; Furusyo, Norihiro; Oze, Isao; Ito, Hidemi; Mikami, Haruo; Nakamura, Yohko; Wakai, Kenji.

In: Nutrients, Vol. 11, No. 5, 990, 05.2019.

Research output: Contribution to journalArticle

Iwasaki, Y, Arisawa, K, Katsuura-Kamano, S, Uemura, H, Tsukamoto, M, Kadomatsu, Y, Okada, R, Hishida, A, Tanaka, K, Hara, M, Takezaki, T, Shimatani, K, Ozaki, E, Koyama, T, Suzuki, S, Nakagawa-Senda, H, Kuriki, K, Miyagawa, N, Kadota, A, Ikezaki, H, Furusyo, N, Oze, I, Ito, H, Mikami, H, Nakamura, Y & Wakai, K 2019, 'Associations of nutrient patterns with the prevalence of metabolic syndrome: Results from the baseline data of the Japan multi-institutional collaborative cohort study', Nutrients, vol. 11, no. 5, 990. https://doi.org/10.3390/nu11050990
Iwasaki, Yuki ; Arisawa, Kokichi ; Katsuura-Kamano, Sakurako ; Uemura, Hirokazu ; Tsukamoto, Mineko ; Kadomatsu, Yuka ; Okada, Rieko ; Hishida, Asahi ; Tanaka, Keitaro ; Hara, Megumi ; Takezaki, Toshiro ; Shimatani, Keiichi ; Ozaki, Etsuko ; Koyama, Teruhide ; Suzuki, Sadao ; Nakagawa-Senda, Hiroko ; Kuriki, Kiyonori ; Miyagawa, Naoko ; Kadota, Aya ; Ikezaki, Hiroaki ; Furusyo, Norihiro ; Oze, Isao ; Ito, Hidemi ; Mikami, Haruo ; Nakamura, Yohko ; Wakai, Kenji. / Associations of nutrient patterns with the prevalence of metabolic syndrome : Results from the baseline data of the Japan multi-institutional collaborative cohort study. In: Nutrients. 2019 ; Vol. 11, No. 5.
@article{3138bf7f5a2048e7b039fa9502f7f24c,
title = "Associations of nutrient patterns with the prevalence of metabolic syndrome: Results from the baseline data of the Japan multi-institutional collaborative cohort study",
abstract = "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.",
author = "Yuki Iwasaki and Kokichi Arisawa and Sakurako Katsuura-Kamano and Hirokazu Uemura and Mineko Tsukamoto and Yuka Kadomatsu and Rieko Okada and Asahi Hishida and Keitaro Tanaka and Megumi Hara and Toshiro Takezaki and Keiichi Shimatani and Etsuko Ozaki and Teruhide Koyama and Sadao Suzuki and Hiroko Nakagawa-Senda and Kiyonori Kuriki and Naoko Miyagawa and Aya Kadota and Hiroaki Ikezaki and Norihiro Furusyo and Isao Oze and Hidemi Ito and Haruo Mikami and Yohko Nakamura and Kenji Wakai",
year = "2019",
month = "5",
doi = "10.3390/nu11050990",
language = "English",
volume = "11",
journal = "Nutrients",
issn = "2072-6643",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",

}

TY - JOUR

T1 - Associations of nutrient patterns with the prevalence of metabolic syndrome

T2 - Results from the baseline data of the Japan multi-institutional collaborative cohort study

AU - Iwasaki, Yuki

AU - Arisawa, Kokichi

AU - Katsuura-Kamano, Sakurako

AU - Uemura, Hirokazu

AU - Tsukamoto, Mineko

AU - Kadomatsu, Yuka

AU - Okada, Rieko

AU - Hishida, Asahi

AU - Tanaka, Keitaro

AU - Hara, Megumi

AU - Takezaki, Toshiro

AU - Shimatani, Keiichi

AU - Ozaki, Etsuko

AU - Koyama, Teruhide

AU - Suzuki, Sadao

AU - Nakagawa-Senda, Hiroko

AU - Kuriki, Kiyonori

AU - Miyagawa, Naoko

AU - Kadota, Aya

AU - Ikezaki, Hiroaki

AU - Furusyo, Norihiro

AU - Oze, Isao

AU - Ito, Hidemi

AU - Mikami, Haruo

AU - Nakamura, Yohko

AU - Wakai, Kenji

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85065674765&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065674765&partnerID=8YFLogxK

U2 - 10.3390/nu11050990

DO - 10.3390/nu11050990

M3 - Article

C2 - 31052301

AN - SCOPUS:85065674765

VL - 11

JO - Nutrients

JF - Nutrients

SN - 2072-6643

IS - 5

M1 - 990

ER -