Author
Listed:
- Anh NQ Pham
- Julia Smith
- Kaylee A Byers
- Kiffer G Card
Abstract
Background: Long COVID is associated with persistent symptoms, including the onset of new mental health challenges such as anxiety and depression, as well as the worsening of pre-existing conditions. While previous research has examined the impact of demographic factors, chronic conditions, and traumatic events on mental health, little is known about how these factors interact to shape mental health outcomes in individuals with Long COVID. This study investigates the relationship between selected demographics characteristics, social determinants of health – specifically living settings, place of living, employment status, and working hours – and chronic health conditions on mental health outcomes among individuals with Long COVID. Methods: This is a secondary analysis using previously collected survey data from 3,611 individuals, who were diagnosed, referred to and admitted at Post-COVID Recovery Clinics, British Columbia, Canada at the time of their admission. The dataset includes demographic variables (sex, age, living situation, employment status, occupation, ethnicity), history of chronic conditions, and mental health outcomes (anxiety and depression) of patients. Univariable and multivariable Generalized Linear Regression analyses were conducted to examine associations between SDoH and mental health outcomes, adjusting for potential confounders. Results: The cohort had a mean age of 50 years, and 62% of participants were female. Overall, 38% screened positive for anxiety, 35% for depression, and 26% for both conditions following COVID-19 infection. In multivariable analyses, younger age, cognitive issues, and activity limitations were significantly associated with symptoms of anxiety, while younger age, cognitive issues, and physical impairments were significantly associated with symptoms of depression. In the multivariable model, individuals with cognitive issues were more likely to report anxiety (RR = 1.45, 95% CI: 1.34–1.56) and depression (RR = 1.54, 95% CI: 1.42–1.68). Activity limitations were also associated with anxiety (RR = 1.12, 95% CI: 1.01–1.24), and physical impairments with depression (RR = 1.43, 95% CI: 1.24–1.65). Overall, 38% of patients reported symptoms of anxiety, 35% reported depression, and 26% experienced both following COVID-19 infection. Conclusion: These findings highlight important associations between mental health symptoms and clinical factors among individuals with Long COVID and underscore the need for further longitudinal research to clarify causal pathways and inform mental health support strategies, particularly among those with activity limitations, cognitive and physical impairments. Patient or public contribution: The data collection and questionnaire were designed and conducted by the Post-COVID Integrated Clinic Network in British Columbia, Canada.
Suggested Citation
Anh NQ Pham & Julia Smith & Kaylee A Byers & Kiffer G Card, 2026.
"Associations between demographic, clinical, and socioeconomic factors and mental health in long COVID: A clinic-based cross-sectional study,"
PLOS ONE, Public Library of Science, vol. 21(3), pages 1-13, March.
Handle:
RePEc:plo:pone00:0342516
DOI: 10.1371/journal.pone.0342516
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0342516. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.