Nagahi Morteza, Ibne Hossain Niamat Ullah, Dayarathna Vidanelage L, Karam Sofia, Babski-Reeves Kari, Jaradat Raed
Department of Industrial and Systems Engineering, Bagley College of Engineering, Mississippi State University, Starkville, MS 39762, USA.
J Funct Morphol Kinesiol. 2020 Dec 4;5(4):88. doi: 10.3390/jfmk5040088.
In this research paper, we implemented a mixed factor design in order to investigate the effect of four anthropometries: height, weight, lower-arm dimensions, and upper-arm dimensions on the muscle activation level of participants when interacting with three types of moderators: experiment expertise, task type, and muscle type. The research paper focused on two levels of expertise (novice and expert), two tasks (deck-building and picket installation), and four arm muscles (Brachioradialis (BR), Extensor Carpi Ulnaris (ECU), Flexor Carpi Radialis (FCR), and Flexor Carpi Ulnaris (FCU)), which resulted in 16 (2 × 2 × 4) groups. For each of the 16 groups, the data were analyzed in order to investigate the relationship between the four anthropometries and the four muscle activation levels of the participants. Amos software (IBM, Armonk, NY, USA), along with multiple group structural equation modeling, was used to test a total of 16 direct relationships, as well as the moderation effects in the designed experiment. The results show that the participants' expertise can moderate the relationship between their height and muscle activation levels, the relationship between their weight and muscle activation levels, and the relationship between their lower arm dimensions and muscle activation levels. Moreover, the findings of this research paper demonstrate that the relationship between the lower arm dimensions and muscle activation levels, and the relationship between weight and muscle activation levels are moderated by the type of muscle used by the participants (i.e., BR, ECU, FCR, and FCU).
在本研究论文中,我们实施了混合因素设计,以调查四种人体测量指标(身高、体重、下臂尺寸和上臂尺寸)对参与者在与三种类型的调节因素(实验专业知识、任务类型和肌肉类型)交互时肌肉激活水平的影响。该研究论文聚焦于两个专业水平(新手和专家)、两项任务(构筑甲板和尖桩安装)以及四块手臂肌肉(桡侧腕长伸肌(BR)、尺侧腕伸肌(ECU)、桡侧腕屈肌(FCR)和尺侧腕屈肌(FCU)),这导致了16(2×2×4)个组。对于这16个组中的每一组,都对数据进行了分析,以研究四种人体测量指标与参与者的四种肌肉激活水平之间的关系。使用Amos软件(美国纽约州阿蒙克市国际商业机器公司)以及多组结构方程建模,总共测试了16个直接关系以及设计实验中的调节效应。结果表明,参与者的专业知识可以调节其身高与肌肉激活水平之间的关系、体重与肌肉激活水平之间的关系以及下臂尺寸与肌肉激活水平之间的关系。此外,本研究论文的结果表明,下臂尺寸与肌肉激活水平之间的关系以及体重与肌肉激活水平之间的关系受到参与者所使用的肌肉类型(即BR、ECU、FCR和FCU)的调节。