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Exploring Correlates of Mental Health and Employment in Individuals With Long COVID: A Secondary Data Analysis
Kenneth O Anujuo1, Peter O Ikuabe, Ikenna D Ebuenyi
1From the Department of Rehabilitation Science and Technology, School of Health and Rehabilitations Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania (K.O.A., I.D.E.); Department of Internal Medicine, Niger Delta University Teaching Hospital, Bayelsa, Nigeria (P.O.I.); and Department of Behavioral and Community Health Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania (I.D.E.).
Objective:
Long COVID is a major public health challenge with mental health and socioeconomic consequences for affected individuals. We examined the mental health and socioeconomic correlates of long COVID using a secondary dataset.
Methods:
A cross-sectional study was conducted with 1901 participants. Outcome variable was employment and with long COVID as a major predictor. The association between long COVID and employment was assessed using logistic regression analysis.
Result:
60.9% of participants with long COVID reported being employed compared to 61.7% of participants without long COVID. 53.2% of participants with mental health reported being employed compared to 44.7% of participants without mental health.
Conclusions:
This study highlights existing challenges in employment among individuals with long COVID and mental disorders. There is a need to develop interventions that address both the mental health and socioeconomic needs of individuals with long COVID.
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