Chini G, Varrecchia T, Conforto S, De Nunzio A M, Draicchio F, Falla D, Ranavolo A
Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy.
Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy.
Gait Posture. 2023 May;102:72-79. doi: 10.1016/j.gaitpost.2023.03.001. Epub 2023 Mar 7.
Work-related low-back disorders (WLBDs) are one of the most frequent and costly musculoskeletal conditions. It has been showed that WLBDs may occur when intervertebral or torso equilibrium is altered by a biomechanical perturbations or neuromuscular control error. The capacity to react to such disturbances is heavily determined by the spinal stability, provided by active and passive tissues and controlled by the central nervous system.
This study aims to investigate trunk stability through the Lyapunov's maximum exponent during repetitive liftings in relation to risk level, as well as to evaluate its ability to discriminate these risk levels.
Fifteen healthy volunteers performed fatiguing lifting tasks at three different frequencies corresponding to low, medium, and high risk levels according to the National Institute for Occupational Safety and Health (NIOSH) equation. We investigated changes in spinal stability during fatiguing lifting tasks at different risk levels using the maximum Lyapunov's index (λ) computed from trunk accelerations recorded by placing three IMUs at pelvis, lower and upper spine levels. A two-way repeated-measures ANOVA was performed to determine if there was any significant effect on λ among the three risk levels and the time (start, mid, and end of the task). Additionally, we examined the Pearson's correlation of λ with the trunk muscle co-activation, computed from trunk sEMG.
Our findings show an increase in trunk stability with increasing risk level and as the lifting task progressed over time. A negative correlation between λ and trunk co-activation was observed which illustrates that the increase in spinal stability could be partially attributed to increased trunk muscle co-activation.
This study highlights the possibility of generating stability measures from kinematic data as risk assessment features in fatiguing tasks which may prove useful to detect the risk of developing work-related low back pain disorders and allow the implementation of early ergonomic interventions.
与工作相关的下背部疾病(WLBDs)是最常见且代价高昂的肌肉骨骼疾病之一。研究表明,当生物力学扰动或神经肌肉控制误差改变椎间或躯干平衡时,可能会发生WLBDs。对这种干扰做出反应的能力在很大程度上取决于由主动和被动组织提供并由中枢神经系统控制的脊柱稳定性。
本研究旨在通过李雅普诺夫最大指数研究重复提举过程中与风险水平相关的躯干稳定性,并评估其区分这些风险水平的能力。
15名健康志愿者根据美国国家职业安全与健康研究所(NIOSH)方程,以三种不同频率进行疲劳提举任务,分别对应低、中、高风险水平。我们通过放置在骨盆、下脊柱和上脊柱水平的三个惯性测量单元(IMU)记录的躯干加速度计算得到的最大李雅普诺夫指数(λ),研究不同风险水平下疲劳提举任务期间脊柱稳定性的变化。进行双向重复测量方差分析以确定三个风险水平和时间(任务开始、中间和结束)对λ是否有任何显著影响。此外,我们检查了λ与根据躯干表面肌电图计算的躯干肌肉共同激活之间的皮尔逊相关性。
我们的研究结果表明,随着风险水平的增加以及提举任务随着时间的推移而进行,躯干稳定性会增加。观察到λ与躯干共同激活之间存在负相关,这表明脊柱稳定性的增加可能部分归因于躯干肌肉共同激活的增加。
本研究强调了从运动学数据生成稳定性测量作为疲劳任务风险评估特征的可能性,这可能有助于检测与工作相关的下背痛疾病的发生风险,并允许实施早期人体工程学干预。