Zhong Runting, Liao Jingxian, Xu Yunlong
School of Business, Jiangnan University, China.
Int J Occup Saf Ergon. 2023 Jun;29(2):723-734. doi: 10.1080/10803548.2022.2077000. Epub 2022 Jun 11.
. Smartphone-based gait assessment provides a novel method to evaluate fatigue. This study aimed to examine self-reported fatigue and gait parameters recorded using a smartphone before and after an 8-h work day in bank workers, and identify the relationship between self-reported fatigue and gait parameters. . One hundred bank workers (aged 20-45 years) were tested before and after an 8-h work day using a reaction time test, self-reported fatigue scale and gait test. Spearman correlation coefficient analysis and partial least squares regression were used to identify the relationship between self-reported fatigue and gait parameters. . Reaction time and self-reported fatigue increased significantly after work. Gait parameters (step frequency, minimum acceleration, acceleration root mean square, step regularity and step counts) decreased; step time and step time variability increased significantly (< 0.05). We found a significant correlation between changes (Δ) for Δwork engagement and Δstep frequency ( = -0.20, < 0.05), Δwork engagement and Δstep time ( = 0.21, < 0.05), and Δwork tasks and Δstep symmetry ( = -0.20, < 0.05). . This study suggests that step frequency, step time and step symmetry measured using a smartphone have the potential to be used as predictors of work fatigue.
基于智能手机的步态评估提供了一种评估疲劳的新方法。本研究旨在检查银行工作人员在8小时工作日前后使用智能手机记录的自我报告疲劳和步态参数，并确定自我报告疲劳与步态参数之间的关系。100名银行工作人员（年龄在20 - 45岁之间）在8小时工作日前后接受了反应时间测试、自我报告疲劳量表和步态测试。采用斯皮尔曼相关系数分析和偏最小二乘回归来确定自我报告疲劳与步态参数之间的关系。工作后反应时间和自我报告疲劳显著增加。步态参数（步频、最小加速度、加速度均方根、步幅规律性和步数）下降；步长和步长变异性显著增加（<0.05）。我们发现工作投入变化（Δ）与步频变化（=-0.20，<0.05）、工作投入变化与步长时间变化（=0.21，<0.05）以及工作任务变化与步幅对称性变化（=-0.20，<0.05）之间存在显著相关性。本研究表明，使用智能手机测量的步频、步长时间和步幅对称性有可能用作工作疲劳的预测指标。
