在美国成年人样本中,相角和身体脂肪之间的非线性关联
Federica Frau1, Eduardo Pizzo Junior1, Stefano Cabras2
1Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria Monserrato, 09042 Monserrato, CA, Italy.
Biology
|November 27, 2025
概括
阶段角 (PhA),一种生物阻抗指数,显示了与身体脂肪的弱,非线性联系. 这表明其他因素比身体脂肪含量更显著地影响PhA.
科学领域:
- 生物阻抗分析分析
- 人类生理学 人类生理学
- 身体组成 身体组成
背景情况:
- 阶段角 (PhA) 是一种与细胞完整性和身体组成相关的生物阻抗度量.
- 在科学文献中,PhA和体脂之间的关系仍然不清楚.
研究的目的:
- 调查成年人阶段角和各种体脂肪测量之间的非线性关联.
- 探索相角与身体脂肪关系中的潜在性别差异.
主要方法:
- 利用了国家健康和营养检查调查中1533名成年人的数据.
- 使用人体测量,生物阻抗分析 (BIA) 和双能X射线吸收测量 (DXA) 来评估身体组成.
- 应用非线性立方线回归来分析PhA与脂肪质量 (FM),BMI,FMI和FM%之间的关系.
主要成果:
- 在PhA和身体脂肪指数 (FM,BMI,FMI,FM%) 之间观察到非线性关系.
- 与女性相比,男性在较低的身体脂肪水平上表现出拐点.
- 这些关系的解释差异始终低于10%,表明相关性很弱.
结论:
- 阶段角度表明与身体脂肪的弱和非线性关联.
- 身体脂肪以外的其他因素主要影响相角变化.
- 对PhA的临床和常规解释应该考虑其与身体脂肪的有限关系.
更多相关视频
05:16Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
509
06:48Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
2.0K
相关概念视频
01:02Hypodermis
7.2K
The hypodermis (the subcutaneous layer or superficial fascia) is present directly below the dermis. It connects the skin to the underlying fascia (fibrous tissue) of the bones and muscles. It is not strictly a part of the skin, although the border between the hypodermis and dermis can be difficult to distinguish. The hypodermis consists of well-vascularized, loose, areolar connective tissue and adipose tissue, which functions as a mode of fat storage and provides insulation and cushioning for...
7.2K
01:17Two-Way ANOVA
3.3K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
3.3K