From the School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas (Dr Tsai, Ms Fish); National Center on Homelessness Among Veterans, US Department of Veterans Affairs, Tampa, Florida (Dr Tsai); Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut (Dr Tsai); College of Education, Michigan State University, East Lansing, Michigan (Dr Umucu); John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas (Ms Fish).
J Occup Environ Med. 2023 Feb 1;65(2):113-118. doi: 10.1097/JOM.0000000000002734. Epub 2022 Oct 17.
This study examined job automation and concerns about job automation during the COVID-19 pandemic.
Data from a national sample of 6607 middle- and low-income US adults in May to June 2020 were analyzed.
Among recently employed participants, 19.1% reported partial or complete job automation during the pandemic. Male sex, racial/ethnic minorities, students, higher education, full-time employment, and any history of psychiatric disorder were associated with job automation. In the total sample, 57.5% had concerns about job automation, which were associated with younger age, male, racial/ethnic minorities, students, veterans, more minors in the household, Northeast residence, any history of psychiatric diagnosis, COVID-19 infection, and any recent job changes.
Job automation is impacting the lives of middle- and low-income US adults, and particular groups are vulnerable to ongoing changes in the nature of work.
本研究考察了 COVID-19 大流行期间的工作自动化和对工作自动化的担忧。
对 2020 年 5 月至 6 月期间来自美国中低收入群体的 6607 名成年人的全国性样本进行了数据分析。
在最近受雇的参与者中，19.1%报告在大流行期间部分或完全实现了工作自动化。男性、少数族裔、学生、接受过高等教育、全职工作以及任何精神病史与工作自动化有关。在总样本中，有 57.5%的人对工作自动化表示担忧，这与年龄较小、男性、少数族裔、学生、退伍军人、家中未成年人较多、居住在东北部、有任何精神科诊断史、COVID-19 感染以及最近工作变动有关。
工作自动化正在影响美国中低收入成年人的生活，特定群体容易受到工作性质持续变化的影响。
