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首页> 外文期刊>Sports >Fat-Free Mass and the Balance Error Scoring System Predict an Appropriate Maximal Load in the Unilateral Farmer’s Walk
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Fat-Free Mass and the Balance Error Scoring System Predict an Appropriate Maximal Load in the Unilateral Farmer’s Walk

机译：无脂肪质量和平衡误差计分系统可预测单边农民步行的适当最大负荷

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This study quantified and compared unilateral farmer’s walk (UFW) performance in recreationally active males and females, and determined if additional variables allowed for the prediction of a maximal safe load. Anthropometric (height, body weight (BW), body mass index, body fat percentage, fat-free mass (FFM), and fat mass), muscular endurance (maximal duration side bridge), and balance (Balance Error Scoring System (BESS)) tests were completed. Participants performed a series of 20 s UFW trials (non-dominant side) at a cadence of 66 beats/min. The initial load was 10% of BW and increased by 10% per trial until deviations in spinal alignment or compromised gait patterns were noted, and the series was terminated. The highest load carried before technical failure was recorded. Descriptive and comparative statistics and a stepwise linear regression analysis were utilized to determine relationships between UFW performance and anthropometric, muscular endurance, and balance tests. Males (N = 25) were significantly taller (177.3 ± 6.7 vs. 164.7 ± 7.2 cm, p 0.05), heavier (81.7 ± 7.0 vs. 62.0 ± 9.4 kg, p 0.05), and leaner (14.4 ± 4.4 vs. 22.4 ± 4.8%, p 0.05) than females (N = 26). Further, males had a higher amount of FFM ( p 0.05) than females. The males (52.2 ± 9.0, 64% BW) carried a higher average UFW load than the females (32.5 ± 7.1 kg, 53% BW, p 0.05). FFM was strongly predictive of UFW load (load = ?9.88876 + 0.88679 × (FFM); r 2 = 0.774, p 0.0001). The addition of the BESS test further increased the accuracy of the prediction equation (r 2 = 0.800, p 0.0001). There are differences in UFW performance ability between males and females. As our method does not account for all potential confounding variables, the use of these equations should be combined with technique analysis and participant feedback to ensure an appropriate workload.
机译：这项研究量化并比较了从事娱乐活动的男性和女性单方面农民步行（UFW）的表现，并确定了是否允许使用其他变量来预测最大安全负荷。人体测量（身高，体重（BW），体重指数，体脂百分比，无脂肪质量（FFM）和脂肪质量），肌肉耐力（最大持续时间侧桥）和平衡（平衡误差计分系统（BESS） ）测试已完成。参与者以66次/分钟的节奏进行了20 s UFW试验（非优势侧）。初始负荷为BW的10％，每次试验增加10％，直到注意到脊柱排列出现偏差或步态受损，然后终止该系列。记录技术故障之前承受的最高负载。使用描述性和比较性统计数据以及逐步线性回归分析来确定UFW性能与人体测量，肌肉耐力和平衡测试之间的关系。雄性（N = 25）的身高显着较高（177.3±6.7对164.7±7.2厘米，p <0.05），较重（81.7±7.0对62.0±9.4千克，p <0.05），较瘦（14.4±4.4对。比女性（N = 26）22.4±4.8％，p <0.05）。此外，男性的FFM量高于女性（p <0.05）。雄性（52.2±9.0，BW 64％）的平均UFW负载高于雌性（32.5±7.1 kg，53％BW，p <0.05）。 FFM强烈预测了UFW的负荷（负荷= 9.88876 + 0.88679×（FFM）; r 2 = 0.774，p <0.0001）。 BESS测试的添加进一步提高了预测方程式的准确性（r 2 = 0.800，p <0.0001）。男女之间的UFW性能有差异。由于我们的方法并未考虑所有潜在的混淆变量，因此应将这些方程式的使用与技术分析和参与者反馈相结合，以确保适当的工作量。

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