Breloff Scott P, Chou Li-Shan
National Institute for Occupational Safety & Health Morgantown, WV, USA.
Department of Human Physiology University of Oregon, Eugene, OR 97403, USA.
Biomed Eng (Singapore). 2017;29(4). doi: 10.4015/S1016237217500284. Epub 2017 Aug 14.
Traditionally, gait analysis models the trunk as one rigid body segment. This approach has limitations; it does not capture all the movements of this area of the body throughout locomotion. Lower-extremity-gait kinematics do not routinely change in healthy non-elderly adults in different decades of life; however, it is unknown if trunk kinematics will be altered during different activities of daily living as a function of age. The purpose of this study was to determine if a previously validated multi-segmented trunk model would detect trunk movement variations in non-elderly healthy adults in different decades of life. Thirty-four non-elderly healthy adults in various decades of life (20-29 years, 30-39 years, 40-49 years, and 50-59 years) completed two tasks of ambulatory daily living (level walking and stair descent). Trunk maximum angle during the gait cycle, timing of the trunk maximum angle during the gait cycle and trunk range of motion were examined using analysis of variance procedures. Findings are that age group did not affect the trunk kinematics of individuals in different decades of life, but that may not represent the experiences of elderly individuals.
传统上，步态分析将躯干建模为一个刚体节段。这种方法存在局限性；它无法捕捉身体这个部位在整个运动过程中的所有运动。在不同年龄段的健康非老年成年人中，下肢步态运动学通常不会发生变化；然而，尚不清楚躯干运动学是否会随着年龄的增长在不同的日常生活活动中发生改变。本研究的目的是确定一个先前经过验证的多节段躯干模型是否能检测出不同年龄段的非老年健康成年人的躯干运动变化。34名不同年龄段（20 - 29岁、30 - 39岁、40 - 49岁和50 - 59岁）的非老年健康成年人完成了两项日常行走任务（平地行走和下楼梯）。使用方差分析程序检查步态周期中的躯干最大角度、步态周期中躯干最大角度的时间以及躯干运动范围。研究结果表明，年龄组不会影响不同年龄段个体的躯干运动学，但这可能并不代表老年人的情况。
