Predictors of muscle strength in older individuals

V. Raso, R. Cassilhas, M. Santana, R. Boscolo, V. Viana, V. Grassmann, S. Tufik, M. Mello
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引用次数: 4

Abstract

PURPOSE: To analyze possible relationships between load, body mass and lean body mass in an effort to provide norm-referenced standards for the one repetition maximum test and to predict whole body muscle strength (WBMS) in older individuals. METHODS: We measured body mass, lean body mass and the one repetition maximum (1RM) test in different exercises in 189 older men and women aged 61 to 82 years. Whole body muscle strength (WBMS) was calculated as the sum of loads of the different exercises. RESULTS: For women, the inclusion of body mass or lean body mass increased the R2 from 0.41 to 0.82, and yielded the following equation: WBMS = 75.788 + (2.288 × load in kg of latissimus pull down) + (0.799 × lean body mass in kg). For men, the inclusion of either body mass (WBMS = 290.33 - [3.140 × age in years] + [1.236 × body mass in kg] + [1.549 × load in kg of leg press]) or, in particular, lean body mass (WBMS = 343.25 - [3.298 × age in years] + [.415 × lean body mass in kg] + [1.737 × load in kg of leg press]) decreased the standard error of the estimate. CONCLUSION: Our data support the idea that load correlates with body mass and lean body mass and that the load used for a specific exercise is significantly associated with WBMS, thereby permitting the development of a predictive model of WBMS with increased accuracy.
老年人肌肉力量的预测因子
目的:分析负荷、体重和瘦体重之间可能存在的关系,为单次最大重复测试提供规范参考标准,并预测老年人全身肌力(WBMS)。方法:我们测量了189名年龄在61 ~ 82岁的老年男性和女性在不同运动中的体重、瘦体重和单次最大重复(1RM)测试。全身肌力(WBMS)计算为不同运动负荷之和。结果:对于女性,体重或瘦体重的纳入使R2从0.41增加到0.82,并得到如下公式:WBMS = 75.788 + (2.288 ×负荷,kg的阔肌下拉)+ (0.799 ×瘦体重,kg)。对于男性,体重(WBMS = 290.33 - [3.140 ×年龄]+ [1.236 ×体重(kg)] + [1.549 ×负荷(kg)])或瘦体重(WBMS = 343.25 - [3.298 ×年龄(kg)] +[。415 ×瘦体重(kg) + [1.737 ×负荷(kg))降低了估计的标准误差。结论:我们的数据支持负荷与体重和瘦体重相关的观点,并且用于特定运动的负荷与WBMS显着相关,从而允许开发具有更高准确性的WBMS预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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