![]() |
Online ISSN: 1099-176X Print
ISSN: 1091-4358 Copyright © 2025 ICMPE. |
Prevalence and Correlates of Probable Anxiety and Depression among U.S. Individuals with Long COVID |
Lanlan Chu,1* Isabel Honzay2 |
1PhD, Assistant Professor of Economics, St. Catherine University,
St. Paul, MN, USA. |
*Correpondence to: Lanlan Chu, PhD, Assistant Professor of Economics, St. Catherine
University, 2004 Randolph Ave. St. Paul. MN 55105, USA.
Tel: +1-651-690-6300
Email: lchu907@stkate.edu
Source of Funding: None declared.
|
|
Using a nationally representative dataset from the U.S. Household Pulse Survey, this study employs a probit model to examine the associations between long COVID and probable anxiety as well as probable depression. The findings reveal that individuals with long COVID exhibit a significantly higher prevalence of probable anxiety and depression compared to those without the condition. Robustness checks, including alternative models and measures, confirm a significant correlation between long COVID and an increased likelihood of these mental health challenges. A mechanism analysis identifies socio-economic factors, specifically expense difficulty and concerns about job loss, as significant mediators of these associations. Additionally, females, individuals under 30, Hispanic individuals, non-Hispanic Black individuals, and those with disabilities are more likely to experience mental health challenges associated with long COVID. These results provide quantitative evidence linking long COVID to mental health issues, underscoring the urgent need to address the challenges posed by prolonged COVID-19 symptoms. | |
Aims of the Study: This study primarily aims to assess the prevalence of mental health issues among individuals in the United States grappling with long COVID. Additionally, it seeks to quantify the correlations between long COVID and both probable anxiety and probable depression. The research also endeavors to unravel socio-economic mechanisms contributing to these correlations and explore potential disparities in these associations. Methods: Utilizing a nationally representative dataset from the Household Pulse Survey, this study employs the probit model to investigate the associations between long COVID and probable anxiety as well as probable depression. To ensure robustness, complementary techniques, including alternative models and measures, are employed. A mechanism analysis is incorporated to identify socio-economic mediators that contribute to probable anxiety and depression in individuals with long COVID. Subgroup analyses explore variations in these associations across diverse groups. Results: Individuals with long COVID show a significantly higher prevalence of probable anxiety and depression compared to those without the condition. Through alternative techniques, the study confirms a significant correlation between long COVID and an increased likelihood of both probable anxiety and probable depression. Socio-economic mediators, specifically expense difficulty and concerns about job loss, significantly contribute to these associations. Additionally, females, individuals under 30, Hispanic individuals, non-Hispanic Black individuals, and those with disabilities are more likely to experience mental health challenges when dealing with long COVID. Discussion: The results offer quantitative evidence of a significant correlation between long COVID and mental health issues, emphasizing the critical need to address the challenges associated with prolonged COVID-19 symptoms. However, the study’s reliance on a cross-sectional dataset underscores the importance of future research incorporating longitudinal data for a more comprehensive assessment of dynamic changes in mental health. Policy Implications: This study emphasizes the necessity for specialized mental health support programs tailored for individuals dealing with long COVID. Policymakers should consider adopting financial assistance measures and advocating for employers to accommodate those facing long COVID. Targeted mental health support and outreach initiatives are crucial for addressing the unique needs of at-risk populations and communities, mitigating the adverse consequences of long COVID on mental well-being and facilitating a return to pre-COVID-19 health trajectories. |
Received 30 December 2023; accepted 9 December 2024
Copyright © 2025 ICMPE