Abstract

Mental health disorders represent an enormous cost to society, are related to economic outcomes, and have increased markedly since the COVID-19 outbreak. Economic activity contracted dramatically on a global scale in 2020, representing the worst crisis since the Great Depression. This study used the COVID Impact Survey to provide insights on the interactions of mental illness and economic uncertainty during COVID-19. We used a probability-based panel survey, COVID Impact Survey, conducted in the U.S. over three waves in the period April-June 2020. The survey covered individual information on employment, economic and financial uncertainty, mental and physical health, as well as other demographic information. The prevalence of moderate mental distress was measured using a Psychological Distress Scale, a 5-item scale that is scored on a 4-point scale (total range: 0–15). The mental distress effect of employment, economic, and financial uncertainty, was assessed in a logit regression analysis conditioning for demographic and health information. It is found that employment, health coverage, social security, and food provision uncertainty are additional stressors for mental health. These economic factors work in addition to demographic effects, where groups who display increased risk for psychological distress include: women, Hispanics, and those in poor physical health. A decrease in employment and increases in economic uncertainty are associated with a doubling of common mental disorders. The population-representative survey evidence presented strongly suggests that economic policies which support employment (e.g., job keeping, job search support, stimulus spending) provide not only economic security but also constitute a major health intervention. Moving forward, the economic uncertainty effect ought to be reflected in community level intervention and prevention efforts, which should include strengthening economic support to reduce financial and economic strain.

Highlights

  • Mental health disorders represent an enormous cost to society because of healthcare outcomes, insurance payments, lost productivity, and unemployment

  • We focus on the relation among employment, economic, and financial needs of the survey participants and moderate mental distress

  • The mean number of working hours in comparison to pre-COVID-19 has decreased by 3.5 hours a week, with standard deviation of 11 hours (S4 Table in S1 File)

Read more

Summary

Introduction

Mental health disorders represent an enormous cost to society because of healthcare outcomes, insurance payments, lost productivity, and unemployment. The World Economic Forum has projected that by 2030 mental health disorders will account for more than half of the global economic burden due to non-communicable diseases, estimated at approximately US$6 trillion annually [1]. Given their greater prevalence, common mental disorders (CMDs) such as depression, anxiety, and substance abuse represent a major burden on society. One Australian study [2] found that the estimated annual cost of common mental disorders was approximately AUD$12 billion dollars Another national study [3] found that, whereas depression carries the major economic cost, a greater prevalence of anxiety results in CMDs accounting for a larger absolute economic burden. Several COVID-19 related studies show that the physical distancing and stay-at-home orders have led to elevated loneliness in many people [6] and higher levels of CMDs especially in young adults [7]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.