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
N1 - Funding Information:
Funding: This study was supported by Grants-in-Aid for Scientific Research on Priority Areas of Cancer (No. 17015018) and Innovative Areas (No. 221S0001), and by a JSPS KAKENHI Grant (No. 16H06277, 18K10086) from the Japanese Ministry of Education, Culture, Sports, Science and Technology.
Funding Information:
This study was supported by Grants-in-Aid for Scientific Research on Priority Areas of Cancer (No. 17015018) and Innovative Areas (No. 221S0001), and by a JSPS KAKENHI Grant (No. 16H06277, 18K10086) from the Japanese Ministry of Education, Culture, Sports, Science and Technology. We are grateful to all participants of the baseline survey of the J-MICC Study for their cooperation. We also thank the following researchers for providing us with a food frequency questionnaire and a program to calculate nutrient intake: Shinkan Tokudome at the National Institute of Health and Nutrition (formerly Nagoya City University), Chiho Goto at Nagoya Bunri University, Nahomi Imaeda at Nagoya Women’s University, Yuko Tokudome at Nagoya University of Arts and Sciences, Masato Ikeda at University of Occupational and Environmental Health, and Shinzo Maki at Aichi Prefectural Dietetic Association.
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
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.
KW - Cross-sectional study
KW - Factor analysis
KW - Metabolic syndrome
KW - Nutrient pattern
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U2 - 10.3390/nu11050990
DO - 10.3390/nu11050990
M3 - Article
C2 - 31052301
AN - SCOPUS:85065674765
SN - 2072-6643
VL - 11
JO - Nutrients
JF - Nutrients
IS - 5
M1 - 990
ER -