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The researchers, who are from Ball State University and Villanova University, used a regression analysis of county-level data about health and the share of total jobs at risk of automation. They calculated the second data set by matching county-level employment data with the risk levels calculated in a frequently cited 2013 Oxford University study that suggested almost 50 percent of jobs could be at risk of automation by 2033. The new findings suggest that workers in counties facing higher levels of automation risk reported more frequent levels of physical and mental distress, as self-reported using a rubric provided by the County Health Rankings. The counties predicted to be most affected by automation also appeared lower in a broader health ranking, which was based on factors including lifespan, access to care, and alcohol and drug use.
These changes in health, the study concludes, could increase costs for health providers by millions of dollars, including up to million due to the stress of total jobs at risk alone.

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