Evidence map›Paper›PMID 41849271›Full record

ArticlePloS one2026

Associations between demographic, clinical, and socioeconomic factors and mental health in long COVID: A clinic-based cross-sectional study.

Anh N Q Pham, Julia Smith, Kaylee A Byers, Kiffer G Card

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Anh N Q PhamFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0002-8967-513X
Julia SmithFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0002-5175-1109
Kaylee A ByersFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.
Kiffer G CardFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong 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.

methodsThis 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.

resultsThe 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.

conclusionThese 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.

Indexed as

COVID-19Mental HealthAdultAgedAnxietyBritish ColumbiaCross-Sectional StudiesDemographyDepressionFemaleHumansMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromeSARS-CoV-2

Identifiers

PMID41849271
PMCPMC12998830

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.