Determining whether biomechanical variables that describe common ‘safe lifting’ cues are associated with low back loads

IF 2 4区 医学 Q3 NEUROSCIENCES
Daniel P. Armstrong, Justin B. Davidson, Steven L. Fischer
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引用次数: 0

Abstract

Lift technique training programs have been implemented to help reduce injury risk, but the underlying content validity of cues used within these programs is not clear. The objective of this study was to determine whether biomechanical variables, that commonly used lifting cues aim to elicit, are associated with resultant low back extensor moment exposures. A sample of 72 participants were recruited to perform 10 repetitions of a floor-to-waist height barbell lift while whole-body kinematics and ground reaction forces were collected. Kinematic, kinetic, and energetic variables representative of characteristics commonly targeted by lifting cues were calculated as predictor variables, while peak and cumulative low back moments were calculated as dependent measures. Multiple regression revealed that 56.6–59.2% of variance in low back moments was explained by predictor variables. From these regression models, generating motion with the legs (both greater hip and knee work), minimizing the horizontal distance of the body to the load, maintaining a stable body position, and minimizing lift time were associated with lower magnitudes of low back moments. These data support that using cues targeting these identified variables may be more effective at reducing peak low back moment exposures via lift training.

确定描述常见 "安全提升 "提示的生物力学变量是否与腰背负荷有关
为了帮助降低受伤风险,人们实施了举重技术培训计划,但这些计划中使用的提示语的基本内容有效性尚不清楚。本研究的目的是确定常用举重提示所要引起的生物力学变量是否与由此产生的腰背伸肌力矩暴露有关。研究人员招募了 72 名参与者,让他们进行 10 次从地面到腰部高度的杠铃举重,同时收集全身运动学数据和地面反作用力数据。作为预测变量,计算了运动学、动力学和能量变量,这些变量代表了举重提示通常针对的特征;作为因变量,计算了峰值和累积腰背力矩。多元回归显示,56.6%-59.2% 的腰背力矩变异是由预测变量解释的。从这些回归模型来看,用腿部产生运动(加大髋关节和膝关节的工作)、尽量减少身体到负载的水平距离、保持稳定的身体姿势以及尽量缩短移位时间与较低的腰背力矩相关。这些数据表明,通过移位训练,使用针对这些变量的提示可能会更有效地降低峰值腰背力矩暴露。
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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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
70
审稿时长
74 days
期刊介绍: Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.
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