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Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey

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  • Seong-Uk Baek

    (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
    Graduate School, Yonsei University College of Medicine, Seoul 03722, Korea)

  • Jin-Ha Yoon

    (The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 3722, Korea
    Graduate School of Public Health, Yonsei University College of Medicine, Seoul 03722, Korea
    Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea)

  • Jong-Uk Won

    (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
    Graduate School of Public Health, Yonsei University College of Medicine, Seoul 03722, Korea)

Abstract

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.

Suggested Citation

  • Seong-Uk Baek & Jin-Ha Yoon & Jong-Uk Won, 2022. "Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10051-:d:888297
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    References listed on IDEAS

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    1. Wan-Ju Cheng & Li-Chung Pien & Tomohide Kubo & Yawen Cheng, 2020. "Trends in Work Conditions and Associations with Workers’ Health in Recent 15 Years: The Role of Job Automation Probability," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    2. Abeliansky, Ana Lucia & Beulmann, Matthias, 2019. "Are they coming for us? Industrial robots and the mental health of workers," University of Göttingen Working Papers in Economics 379, University of Goettingen, Department of Economics.
    3. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
    4. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    5. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    6. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    7. Patel, Pankaj C. & Devaraj, Srikant & Hicks, Michael J. & Wornell, Emily J., 2018. "County-level job automation risk and health: Evidence from the United States," Social Science & Medicine, Elsevier, vol. 202(C), pages 54-60.
    8. Nakata, Akinori & Haratani, Takashi & Takahashi, Masaya & Kawakami, Norito & Arito, Heihachiro & Kobayashi, Fumio & Araki, Shunichi, 2004. "Job stress, social support, and prevalence of insomnia in a population of Japanese daytime workers," Social Science & Medicine, Elsevier, vol. 59(8), pages 1719-1730, October.
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