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

被引:14
作者
Tanisawa, Kumpei [1 ]
Ito, Tomoko [2 ,3 ]
Kawakami, Ryoko [1 ]
Usui, Chiyoko [1 ]
Kawamura, Takuji [2 ,4 ]
Suzuki, Katsuhiko [1 ]
Sakamoto, Shizuo [5 ]
Ishii, Kaori [1 ]
Muraoka, Isao [1 ]
Oka, Koichiro [1 ]
Higuchi, Mitsuru [1 ]
机构
[1] Waseda Univ, Fac Sport Sci, Tokorozawa, Saitama, Japan
[2] Waseda Inst Sport Sci, Tokorozawa, Saitama, Japan
[3] Tokyo Kasei Univ, Dept Food & Nutr, Tokyo, Japan
[4] Univ Phys Educ, Res Ctr Mol Exercise Sci, Budapest, Hungary
[5] Surugadai Univ, Fac Sport Sci, Saitama, Japan
基金
日本学术振兴会;
关键词
diet; metabolically healthy obese; metabolically unhealthy non-obese; healthy dietary pattern; alcohol dietary pattern; Japanese adults; CARDIOVASCULAR-DISEASE; WAIST CIRCUMFERENCE; ALL-CAUSE; HISTORY QUESTIONNAIRES; INSULIN-RESISTANCE; ABDOMINAL OBESITY; BLOOD-PRESSURE; METAANALYSIS; DEFINITION; MORTALITY;
D O I
10.3389/fnut.2022.779967
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 53 条
[1]   Effect of increased potassium intake on cardiovascular risk factors and disease: systematic review and meta-analyses [J].
Aburto, Nancy J. ;
Hanson, Sara ;
Gutierrez, Hialy ;
Hooper, Lee ;
Elliott, Paul ;
Cappuccio, Francesco P. .
BMJ-BRITISH MEDICAL JOURNAL, 2013, 346
[2]   Metabolic syndrome - a new world-wide definition. A consensus statement from the international diabetes federation [J].
Alberti, KGMM ;
Zimmet, P ;
Shaw, J .
DIABETIC MEDICINE, 2006, 23 (05) :469-480
[3]   Associations of dietary patterns with metabolic syndrome and insulin resistance : a cross-sectional study in a Japanese population [J].
Arisawa, Kokichi ;
Uemura, Hirokazu ;
Yamaguchi, Miwa ;
Nakamoto, Mariko ;
Hiyoshi, Mineyoshi ;
Sawachika, Fusakazu ;
Katsuura-Kamano, Sakurako .
JOURNAL OF MEDICAL INVESTIGATION, 2014, 61 (3-4) :333-344
[4]   Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ) [J].
Armstrong T. ;
Bull F. .
Journal of Public Health, 2006, 14 (2) :66-70
[5]   Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic review and meta-analysis of interventional studies [J].
Brien, Susan E. ;
Ronksley, Paul E. ;
Turner, Barbara J. ;
Mukamal, Kenneth J. ;
Ghali, William A. .
BMJ-BRITISH MEDICAL JOURNAL, 2011, 342 :480
[6]   Metabolically Healthy Obese and Incident Cardiovascular Disease Events Among 3.5 Million Men and Women [J].
Caleyachetty, Rishi ;
Thomas, G. Neil ;
Toulis, Konstantinos A. ;
Mohammed, Nuredin ;
Gokhale, Krishna M. ;
Balachandran, Kumarendran ;
Nirantharakumar, Krishnarajah .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 70 (12) :1429-1437
[7]   The effect of menopause on blood lipid and lipoprotein levels [J].
de Aloysio, D ;
Gambacciani, M ;
Meschia, M ;
Pansini, F ;
Modena, AB ;
Bolis, PF ;
Massobrio, M ;
Maiocchi, G ;
Peruzzi, E .
ATHEROSCLEROSIS, 1999, 147 (01) :147-153
[8]   Abdominal obesity and metabolic syndrome [J].
Despres, Jean-Pierre ;
Lemieux, Isabelle .
NATURE, 2006, 444 (7121) :881-887
[9]   Benefits of fish oil supplementation in hyperlipidemia: a systematic review and meta-analysis [J].
Eslick, Guy D. ;
Howe, Peter R. C. ;
Smith, Caroline ;
Priest, Ros ;
Bensoussan, Alan .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2009, 136 (01) :4-16
[10]   Potassium Intake and Blood Pressure: A Dose-Response Meta-Analysis of Randomized Controlled Trials [J].
Filippini, Tommaso ;
Naska, Androniki ;
Kasdagli, Maria-Iosifina ;
Torres, Duarte ;
Lopes, Carla ;
Carvalho, Catarina ;
Moreira, Pedro ;
Malavolti, Marcella ;
Orsini, Nicola ;
Whelton, Paul K. ;
Vinceti, Marco .
JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2020, 9 (12)