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Impact of the Seated Height to Stature Ratio on Torso Segment Parameters
Ergonomics ( IF 2.4 ) Pub Date : 2020-07-20 , DOI: 10.1080/00140139.2020.1792560
Zachary Merrill 1 , Charles Woolley 2 , Rakié Cham 1, 3, 4
Affiliation  

Abstract Ergonomic modelling programmes such as the Three Dimensional Static Strength Prediction Programme (3DSSPP) are valuable tools for assessing strength capabilities and risk assessment. These tools rely on accurate, representative inputs in the form of body segment parameters (BSPs). The upcoming version of 3DSSPP will employ BSPs for the torso, split into thoracic, lumbar and pelvis segments in order to more precisely determine spinal forces and injury risks. This study determines the impacts of age, body mass index and the estimated seated height to stature ratio (SHS) on these full and split torso parameters in a sample of working American adults. The results show that all of these metrics have significant relationships with the BSPs of interest, indicating that they must be accounted for when determining these parameters. A sensitivity analysis performed in 3DSSPP demonstrates that varying the parameters inputs will have large effects on L5/S1 compression force calculations. Practitioner Summary: Current anthropometric data sets for ergonomic applications do not account for wide ranges of age, BMI and overall body shape on segment parameter calculations. This study quantifies the associations of age, BMI and the seated height to stature ratio on full and split torso segment parameters. Abbreviations: 3DSSPP: Three-Dimensional Static Strength Prediction Program; BMI: body mass index; BSP: body segment parameter; BW: body weight; COM: centre of mass; DXA: dual energy x-ray absorptiometry; RG: radius of gyration; SHS: seated height to stature ratio; SL: segment length

中文翻译:

坐高身高比对躯干节段参数的影响

摘要 人体工学建模程序,例如三维静态强度预测程序 (3DSSPP),是评估力量能力和风险评估的重要工具。这些工具依赖于身体节段参数 (BSP) 形式的准确、有代表性的输入。即将推出的 3DSSPP 版本将为躯干采用 BSP,分为胸段、腰段和骨盆段,以便更精确地确定脊柱受力和受伤风险。这项研究确定了年龄、体重指数和估计的坐姿身高与身高比 (SHS) 对美国成年人样本中这些完整和分开的躯干参数的影响。结果表明,所有这些指标都与感兴趣的 BSP 有显着关系,表明在确定这些参数时必须考虑到它们。在 3DSSPP 中执行的灵敏度分析表明,改变参数输入将对 L5/S1 压缩力计算产生很大影响。从业者总结:当前用于人体工程学应用的人体测量数据集在节段参数计算中没有考虑广泛的年龄、BMI 和整体体型。本研究量化了年龄、BMI 和坐姿身高与身材比例对完整和分裂躯干节段参数的关联。缩写:3DSSPP:三维静态强度预测程序;BMI:体重指数;BSP:体节参数;BW:体重;COM:质心;DXA:双能X线吸收法;RG:回转半径;SHS:坐高身高比;SL:段长 当前用于人体工程学应用的人体测量数据集在节段参数计算中没有考虑广泛的年龄、BMI 和整体体型。本研究量化了年龄、BMI 和坐姿身高与身材比例对完整和分裂躯干节段参数的关联。缩写:3DSSPP:三维静态强度预测程序;BMI:体重指数;BSP:体节参数;BW:体重;COM:质心;DXA:双能X线吸收法;RG:回转半径;SHS:坐高身高比;SL:段长 当前用于人体工程学应用的人体测量数据集在节段参数计算中没有考虑广泛的年龄、BMI 和整体体型。本研究量化了年龄、BMI 和坐姿身高与身材比例对完整和分裂躯干节段参数的关联。缩写:3DSSPP:三维静态强度预测程序;BMI:体重指数;BSP:体节参数;BW:体重;COM:质心;DXA:双能X线吸收法;RG:回转半径;SHS:坐高身高比;SL:段长 三维静态强度预测程序;BMI:体重指数;BSP:体节参数;BW:体重;COM:质心;DXA:双能X线吸收法;RG:回转半径;SHS:坐高身高比;SL:段长 三维静态强度预测程序;BMI:体重指数;BSP:体节参数;BW:体重;COM:质心;DXA:双能X线吸收法;RG:回转半径;SHS:坐高身高比;SL:段长
更新日期:2020-07-20
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