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生物电相位角与老年人有氧能力、复杂步态能力和总体体能评分的关系。

Association of bioelectrical phase angle with aerobic capacity, complex gait ability and total fitness score in older adults.

机构信息

Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.

Department of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan; Department of Health, Sports and Nutrition, Faculty of Health and Welfare, Kobe Women's University, Hyogo, Japan.

出版信息

Exp Gerontol. 2021 Jul 15;150:111350. doi: 10.1016/j.exger.2021.111350. Epub 2021 Apr 16.

Abstract

PURPOSE

This study aimed to examine the association between whole-body or segmental phase angle (PhA) based on bioelectrical impedance analysis (BIA) and aerobic capacity (endurance), complex gait ability, and total fitness age score (FAS).

METHODS

A total of 426 community-dwelling older adults (332 women and 94 men) aged 60 to 93 years participated in this study. PhA and appendicular skeletal mass index (ASMI) were obtained by an eight-electrode standing BIA. Aerobic capacity was assessed using the shuttle stamina walk test (SSTw); complex gait ability, using the timed-up-and-go test (TUG). FAS was obtained using the previously validated multi-dimensional equations based on 7-year longitudinal data. SSTw, TUG, and FAS were compared between the low PhA (<4.4° for women and <5.2° for men) and normal PhA groups. Pearson's correlation between PhA and SSTw, TUG, and FAS was determined. Multiple linear regression analysis was conducted using SSTw, TUG, and FAS as dependent variables. Age, sex, height, body mass index (BMI), ASMI, and PhA were entered into the linear model.

RESULTS

SSTw and TUG results and FAS were significantly lower in the low PhA group (P < 0.05). PhA was significantly correlated with SSTw, TUG, and FAS (P < 0.001), and leg PhA showed a stronger correlation than whole-body or arm PhA. PhA at 50 kHz had higher correlation coefficients with SSTw, TUG, or FAS compared with PhA at 5 or 250 kHz. Multiple regression analyses indicated that leg PhA at 50 kHz was a significant predictor of SSTw, TUG, and FAS, independent of age, sex, height, BMI, and ASMI.

CONCLUSION

Our results indicate that leg PhA is associated with multi-dimensional physical fitness in community-dwelling older adults. PhA is a highly informative biomarker of skeletal muscle and exercise physiology in clinical settings.

摘要

目的

本研究旨在探讨基于生物电阻抗分析(BIA)的全身或节段相位角(PhA)与有氧能力(耐力)、复杂步态能力和总体能年龄评分(FAS)之间的关系。

方法

本研究共纳入 426 名居住在社区的老年人(332 名女性和 94 名男性),年龄在 60 至 93 岁之间。通过八电极站立 BIA 获得 PhA 和四肢骨骼质量指数(ASMI)。使用穿梭耐力步行测试(SSTw)评估有氧能力;使用计时起立行走测试(TUG)评估复杂步态能力。FAS 通过基于 7 年纵向数据的多维方程获得。比较低 PhA(女性<4.4°,男性<5.2°)和正常 PhA 组之间的 SSTw、TUG 和 FAS。确定 PhA 与 SSTw、TUG 和 FAS 之间的 Pearson 相关性。使用 SSTw、TUG 和 FAS 作为因变量进行多元线性回归分析。将 SSTw、TUG 和 FAS 作为因变量,年龄、性别、身高、体重指数(BMI)、ASMI 和 PhA 作为自变量输入线性模型。

结果

低 PhA 组的 SSTw 和 TUG 结果和 FAS 明显较低(P<0.05)。PhA 与 SSTw、TUG 和 FAS 显著相关(P<0.001),且腿部 PhA 与全身或手臂 PhA 相关性更强。与 PhA 在 5 或 250 kHz 相比,PhA 在 50 kHz 时与 SSTw、TUG 或 FAS 的相关系数更高。多元回归分析表明,50 kHz 时的腿部 PhA 是 SSTw、TUG 和 FAS 的独立预测因子,与年龄、性别、身高、BMI 和 ASMI 无关。

结论

我们的结果表明,腿部 PhA 与社区居住的老年人的多维体能相关。PhA 是临床中骨骼肌肉和运动生理学的高度信息生物标志物。

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