Job Automation and Concerns During the COVID-19 Pandemic Among Middle and Low-Income US Adults

被引:2
作者
Tsai, Jack [1 ,2 ,3 ,6 ]
Umucu, Emre [4 ]
Fish, Kaylee [1 ,5 ]
机构
[1] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Houston, TX USA
[2] US Dept Vet Affairs, Natl Ctr Homelessness Vet, Tampa, FL USA
[3] Yale Univ, Sch Med, Dept Psychiat, New Haven, CT USA
[4] Michigan State Univ, Coll Educ, E Lansing, MI USA
[5] Univ Texas Med Branch, John Sealy Sch Med, Galveston, TX USA
[6] 7411 John Smith Dr,Suite1100, San Antonio, TX 78229 USA
关键词
job automation; socioeconomics; psychiatry; COVID-19;
D O I
10.1097/JOM.0000000000002734
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectiveThis study examined job automation and concerns about job automation during the COVID-19 pandemic.MethodsData from a national sample of 6607 middle- and low-income US adults in May to June 2020 were analyzed.ResultsAmong 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.ConclusionsJob 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.
引用
收藏
页码:113 / 118
页数:6
相关论文
empty
未找到相关数据