Department of Physical Therapy, Faculty of Health Sciences, Kio University, 4-2-2 Umaminaka, Koryo-cho, Kitakatsuragi-gun, Nara 635-0832, Japan.
Health Promotion Center, Kio University, 4-2-2 Umaminaka, Koryo-cho, Kitakatsuragi-gun, Nara 635-0832, Japan.
Int J Environ Res Public Health. 2020 Oct 26;17(21):7810. doi: 10.3390/ijerph17217810.
Bioelectrical impedance analysis (BIA)-derived phase angle (PhA) is a valuable parameter to assess physical health. However, the genetic and environmental aspects of PhA are not yet well understood. The present study aimed to estimate the heritability of PhA and investigate the relationships between PhA and anthropometric measurements. PhA and skeletal muscle mass index (SMI) were examined using multi-frequency BIA in 168 Japanese twin volunteers (54 males and 114 females; mean age = 61.0 ± 16.5 years). We estimated the narrow-sense heritability of these parameters and the genetic and environmental relationships between them using a genetic twin modeling. For the PhA, 51% (95% confidence interval: 0.33, 0.64) of the variance was explained by additive genetic effects, and 49% (95% confidence interval: 0.36, 0.67) was explained by unique environmental effects. The heritability of PhA was lower than the height, body weight, and body mass index. PhA shared almost no genetic variation with anthropometric measurements and SMI but shared an environmental variation (14%) with SMI. These findings suggest that the genes affecting PhA are different than those affecting anthropometric measurements and SMI. The correlation between PhA and SMI is caused by common environmental factors.
生物电阻抗分析(BIA)衍生的相位角(PhA)是评估身体健康的一个有价值的参数。然而,PhA 的遗传和环境方面尚未得到很好的理解。本研究旨在估计 PhA 的遗传度,并探讨 PhA 与人体测量学指标之间的关系。使用多频 BIA 对 168 名日本双胞胎志愿者(54 名男性和 114 名女性;平均年龄=61.0±16.5 岁)进行了 PhA 和骨骼肌质量指数(SMI)的检测。我们使用遗传双胞胎模型来估计这些参数的狭义遗传度以及它们之间的遗传和环境关系。对于 PhA,51%(95%置信区间:0.33,0.64)的方差由加性遗传效应解释,49%(95%置信区间:0.36,0.67)由独特的环境效应解释。PhA 的遗传度低于身高、体重和体重指数。PhA 与人体测量学指标和 SMI 几乎没有遗传变异,但与 SMI 共享 14%的环境变异。这些发现表明,影响 PhA 的基因与影响人体测量学指标和 SMI 的基因不同。PhA 与 SMI 之间的相关性是由共同的环境因素引起的。