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相位角与成年人代谢特征的关联:一项基于人群的研究。

Phase angle association with metabolic profile in adults: A population-based study.

机构信息

Universidade Federal de Santa Catarina, Departamento de Nutrição, Santa Catarina, Brasil.

Universidade Federal de Santa Catarina, Departamento de Educação Física, Núcleo de Pesquisa em Cineantropometria and Desempenho Humano, Santa Catarina, Brasil.

出版信息

Nutrition. 2021 Oct;90:111233. doi: 10.1016/j.nut.2021.111233. Epub 2021 Mar 7.

Abstract

OBJECTIVE

This study assesses the association of the phase angle (PhA) with the metabolic profile in adults of both sexes.

METHODS

This is a cross-sectional, population-based study including 949 adults 20 to 59 y of age living in the Viçosa, Minas Gerais, Brazil - urban zone. The PhA was measured based on electrical bioimpedance analysis. The metabolic profile comprised the following components: waist circumference, glucose, high-density lipoprotein cholesterol (HDL-C), non-HDL-C, triglycerides, C-reactive protein, homeostatic model assessment index-insulin resistance (HOMA-IR), serum uric acid, systolic blood pressure, and diastolic blood pressure. Linear regression models (crude and adjusted) were used to determine the association between each independent and dependent variable; statistical significance was analyzed at 5%.

RESULTS

Multiple analyses showed that the increase in the values of waist circumference (β: -0.01; 95%CI: -0.03; -0.01) represented lower values in the PhA. For the glucose, non-HDL-C, triglycerides, CRP, HOMA-IR and uric acid there was no association with PhA in the adjusted models. .

CONCLUSION

Low PhA was directly associated with grater values of the waist circumference, even after adjustments were made in the sociodemographic, lifestyle variables and body mass index; this outcome suggests that PhA is a promising cardiometabolic profile biomarker in adults.

摘要

目的

本研究评估相位角(PhA)与成年人代谢特征之间的相关性。

方法

这是一项横断面、基于人群的研究,共纳入巴西米纳斯吉拉斯州维索萨 949 名 20 至 59 岁的成年人。PhA 基于生物电阻抗分析进行测量。代谢特征包括腰围、血糖、高密度脂蛋白胆固醇(HDL-C)、非高密度脂蛋白胆固醇(non-HDL-C)、甘油三酯、C 反应蛋白、稳态模型评估的胰岛素抵抗指数(HOMA-IR)、血尿酸、收缩压和舒张压。使用线性回归模型(未调整和调整)来确定每个独立和依赖变量之间的关系;统计显著性分析为 5%。

结果

多项分析表明,腰围值的增加(β:-0.01;95%CI:-0.03;-0.01)与 PhA 降低有关。在调整了社会人口统计学、生活方式变量和体重指数后,血糖、non-HDL-C、甘油三酯、CRP、HOMA-IR 和尿酸与 PhA 之间没有关联。

结论

即使在调整了社会人口统计学、生活方式变量和体重指数后,低 PhA 与更大的腰围值直接相关,这一结果表明 PhA 是成年人有前途的心脏代谢特征生物标志物。

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