Tanisawa Kumpei, Ito Tomoko, Kawakami Ryoko, Usui Chiyoko, Kawamura Takuji, Suzuki Katsuhiko, Sakamoto Shizuo, Ishii Kaori, Muraoka Isao, Oka Koichiro, Higuchi Mitsuru
Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Waseda Institute for Sport Sciences, Tokorozawa, Japan.
Front Nutr. 2022 Jan 27;9:779967. doi: 10.3389/fnut.2022.779967. eCollection 2022.
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.
尽管许多研究报告称,事后饮食模式与代谢健康相关,但几乎没有证据表明饮食模式与不同的代谢表型之间存在关联。本研究旨在探讨日本中老年成年人主要饮食模式与不同代谢表型(代谢健康非肥胖[MHNO]、代谢不健康非肥胖[MUNO]、代谢健康肥胖[MHO]和代谢不健康肥胖[MUO])之间的关联。这项横断面研究纳入了2170名年龄≥40岁的日本成年人。根据肥胖、腹型肥胖、高血压、高血糖和血脂异常的存在情况确定四种不同的代谢表型。主要饮食模式基于能量调整后的食物摄入量,采用主成分分析来确定。确定了两种饮食模式:健康饮食模式,其特点是蔬菜、水果、土豆、豆制品、蘑菇、海藻和鱼类摄入量高;以及酒精饮食模式,其特点是酒精饮料、肝脏、鸡肉和鱼类摄入量高。健康饮食模式与MHNO和MHO表型相关(分别以MUNO和MUO作为参照组),以最低四分位数为参照类别,健康饮食模式得分最高四分位数的多变量调整优势比(OR)(95%置信区间[CI])分别为2.10(1.40 - 3.15)和1.86(1.06 - 3.25)。相反,酒精饮食模式与MHNO和MHO表型呈负相关,以最低四分位数为参照类别,酒精饮食模式得分最高四分位数的多变量调整OR(95%CI)分别为0.63(0.42 - 0.94)和0.45(0.26 - 0.76)。在MHNO和MHO表型的患病率方面,性别与健康/酒精饮食模式之间没有显著的交互作用。总之,本研究结果表明,主要饮食模式与日本中老年成年人不同的代谢表型相关。这些发现为无论肥胖状况如何,通过饮食维持代谢健康提供了有用的证据。