Miller Ross H, Caldwell Graham E, Van Emmerik Richard E A, Umberger Brian R, Hamill Joseph
Department of Kinesiology, University of Massachusetts, 30 Eastman Lane, Amherst, MA 01003, USA.
J Biomech Eng. 2009 Dec;131(12):124502. doi: 10.1115/1.4000088.
The role of arm swing in running has been minimally described, and the contributions of arm motion to lower extremity joint kinematics and external force generation are unknown. These contributions may have implications in the design of musculoskeletal models for computer simulations of running, since previous models have usually not included articulating arm segments. 3D stance phase lower extremity joint angles and ground reaction forces (GRFs) were determined for seven subjects running normally, and running under two conditions of arm restraint. When arm swing was suppressed, the peak vertical GRF decreased by 10-13% bodyweight, and the peak lateral GRF increased by 4-6% bodyweight. Changes in peak joint angles on the order of 1-5 deg were observed for hip flexion, hip adduction, knee flexion, knee adduction, and ankle abduction. The effect sizes (ES) were small to moderate (ES<0.8) for most of the peak GRF differences, but large (ES>0.8) for most of the peak joint angle differences. These changes suggest that suppression of arm swing induces subtle but statistically significant changes in the kinetic and kinematic patterns of running. However, the salient features of the GRFs and the joint angles were present in all conditions, and arm swing did not introduce any major changes in the timing of these data, as indicated by cross correlations. The decision to include arm swing in a computer model will likely need to be made on a case-by-case basis, depending on the design of the study and the accuracy needed to answer the research question.
摆臂在跑步中的作用鲜有描述,手臂运动对下肢关节运动学和外力产生的贡献尚不清楚。这些贡献可能对用于跑步计算机模拟的肌肉骨骼模型设计有影响,因为之前的模型通常未纳入可活动的手臂部分。测定了7名受试者在正常跑步以及两种手臂受限条件下跑步时的三维站立期下肢关节角度和地面反作用力(GRF)。当摆臂受到抑制时,垂直GRF峰值降低了10%-13%体重,横向GRF峰值增加了4%-6%体重。观察到髋关节屈曲、髋关节内收、膝关节屈曲、膝关节内收和踝关节外展的峰值关节角度变化幅度为1-5度。大多数GRF峰值差异的效应大小(ES)为小到中等(ES<0.8),但大多数峰值关节角度差异的效应大小为大(ES>0.8)。这些变化表明,抑制摆臂会在跑步的动力学和运动学模式中引起细微但具有统计学意义的变化。然而,GRF和关节角度的显著特征在所有条件下均存在,并且如交叉相关性所示,摆臂并未在这些数据的时间上引入任何重大变化。是否在计算机模型中纳入摆臂可能需要根据具体情况决定,这取决于研究设计和回答研究问题所需的准确性。