Ghezelbash F, Shirazi-Adl A, Arjmand N, El-Ouaaid Z, Plamondon A, Meakin J R
Division of Applied Mechanics, Department of Mechanical Engineering, Ecole Polytechnique, Montréal, Quebec, Canada.
Division of Applied Mechanics, Department of Mechanical Engineering, Ecole Polytechnique, Montréal, Quebec, Canada.
J Biomech. 2016 Oct 3;49(14):3492-3501. doi: 10.1016/j.jbiomech.2016.09.026. Epub 2016 Sep 21.
Subject-specific parameters influence spinal loads and the risk of back disorders but their relative effects are not well understood. The objective of this study is to investigate the effects of changes in age (35-60 years), sex (male, female), body height (BH: 150-190cm) and body weight (BW: 50-120kg) on spinal loads in a full-factorial simulation using a personalized (spine kinematics, geometry, musculature and passive properties) kinematics driven musculoskeletal trunk finite element model. Segmental weight distribution (magnitude and location along the trunk) was estimated by a novel technique to accurately represent obesity. Five symmetric sagittal loading conditions were considered, and main effect plots and analyses of variance were employed to identify influential parameters. In all 5 tasks simulated, BW (98.9% in compression and 96.1% in shear) had the greatest effect on spinal loads at the L4-L5 and L5-S1 levels followed by sex (0.7% in compression and 2.1% in shear), BH (0.4% in compression and 1.5% in shear) and finally age (<5.4%). At identical BH and BW, spinal loads in females were slightly greater than those in males by ~4.7% in compression and ~8.7% in shear. In tasks with no loads in hands, BW-normalized spinal loads further increased with BW highlighting the exponential increase in spinal loads with BW that indicates the greater risk of back disorders especially in obese individuals. Uneven distribution of weight in obese subjects, with more BW placed at the lower trunk, further (though slightly <7.5%) increased spinal loads.
个体特异性参数会影响脊柱负荷和背部疾病风险,但其相对影响尚未得到充分理解。本研究的目的是使用个性化(脊柱运动学、几何形状、肌肉组织和被动特性)的运动学驱动肌肉骨骼躯干有限元模型,在全因子模拟中研究年龄(35 - 60岁)、性别(男性、女性)、身高(BH:150 - 190厘米)和体重(BW:50 - 120千克)变化对脊柱负荷的影响。通过一种新技术估计节段性体重分布(沿躯干的大小和位置),以准确表示肥胖情况。考虑了五种对称的矢状面加载条件,并采用主效应图和方差分析来确定有影响的参数。在模拟的所有5项任务中,体重(压缩时占98.9%,剪切时占96.1%)对L4 - L5和L5 - S1水平的脊柱负荷影响最大,其次是性别(压缩时占0.7%,剪切时占2.1%)、身高(压缩时占0.4%,剪切时占1.5%),最后是年龄(<5.4%)。在相同的身高和体重下,女性的脊柱负荷在压缩时比男性略高约4.7%,在剪切时高约8.7%。在手中无负荷的任务中,体重标准化的脊柱负荷随体重进一步增加,突出了脊柱负荷随体重呈指数增加,这表明背部疾病风险更大,尤其是在肥胖个体中。肥胖受试者体重分布不均,更多体重集中在躯干下部,进一步(尽管略<7.5%)增加了脊柱负荷。