Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea.
The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 3722, Korea.
Int J Environ Res Public Health. 2022 Aug 15;19(16):10051. doi: 10.3390/ijerph191610051.
Despite the positive aspects of recent technological innovations, fears are mounting among workers that machines will inevitably replace most human jobs in the future. This study is the first to explore the association between individual-level automation anxiety and insomnia among workers. We scored the worker's anxiety over technological automation with five questions. The total sum of scores for participants was categorized in quartiles (Q1-Q4). Logistic regression was employed to estimate odds ratios (ORs) and confidence intervals (CIs). The highest scoring group (Q4) had the highest OR for sleep disturbance (OR [95% CI]:1.40 [1.27-1.55]) compared to the lowest scoring group (Q1). ORs of the highest scoring group (Q4) were strongest for the young (OR [95% CI]:1.96 [1.52-2.53]), followed by the middle-aged (OR [95% CI]:1.40 [1.20-1.64]), and old age groups (OR [95% CI]:1.29 [1.10-1.51]). In addition, a 1-point increase in the automation anxiety score had the strongest association with sleep disturbance in the young (OR [95% CI]:1.07 [1.05-1.10]), followed by the middle-aged (OR [95% CI]:1.03 [1.02-1.04]), and old age groups (OR [95% CI]:1.02 [1.01-1.04]). Our study suggests that policies such as worker retraining are needed to alleviate workers' undue anxiety.
尽管最近的技术创新带来了积极的方面,但工人们越来越担心机器将来会不可避免地取代大多数人类工作。本研究首次探讨了个体层面的自动化焦虑与工人失眠之间的关联。我们用五个问题对工人的技术自动化焦虑进行评分。参与者的总分被分为四等份(Q1-Q4)。逻辑回归用于估计比值比(OR)和置信区间(CI)。得分最高的组(Q4)与得分最低的组(Q1)相比,睡眠障碍的比值比(OR [95% CI]:1.40 [1.27-1.55])最高。得分最高的组(Q4)的比值比(OR [95% CI]:1.96 [1.52-2.53])在年轻人中最强,其次是中年人(OR [95% CI]:1.40 [1.20-1.64])和老年人(OR [95% CI]:1.29 [1.10-1.51])。此外,自动化焦虑评分每增加 1 分,与年轻人睡眠障碍的关联最强(OR [95% CI]:1.07 [1.05-1.10]),其次是中年人(OR [95% CI]:1.03 [1.02-1.04])和老年人(OR [95% CI]:1.02 [1.01-1.04])。我们的研究表明,需要采取工人再培训等政策来减轻工人的过度焦虑。