Evidence map›Paper›PMID 38311905›Full record

ArticlePsychological medicine2024

Association of psychiatric disorders with clinical diagnosis of long COVID in US veterans.

Kristen Nishimi, Thomas C Neylan, Daniel Bertenthal, Karen H Seal, Aoife O'Donovan

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Long COVID-19: A Concept Analysis.Infectious disease reports · 2025
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Kristen NishimiMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.ORCID 0000-0001-6189-830X
Thomas C NeylanMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
Daniel BertenthalMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
Karen H SealDepartment of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
Aoife O'DonovanMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
University of California, San Francisco · USSan Francisco VA Health Care System · US

Funding

PTSD and Autoimmune Disease: Towards Causal Effects, Risk Factors, and MitigatorsIK2CX002627 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Kristen Marie Nishimi · 2023 to 2027
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CSRD VA IK2 CX002627University of California, San Francisco Faculty Resource Fund Award
6 · The paper itself

Abstract

backgroundPsychiatric disorders may be a risk factor for long COVID, broadly defined as COVID-19 conditions continuing three months post-acute infection. In US Veterans with high psychiatric burden, we examined associations between psychiatric disorders and clinical diagnosis of long COVID.

methodsWe conducted a retrospective cohort study using health records from VA patients with a positive SARS-CoV-2 test from February 2020 to February 2023. Generalized linear models estimated associations between any psychiatric disorder and likelihood of subsequent diagnosis with long COVID (i.e. two or more long COVID clinical codes). Models were adjusted for socio-demographic, medical, and behavioral factors. Secondary models examined individual psychiatric disorders and age-stratified associations.

resultsAmong 660 217 VA patients with positive SARS-CoV-2 tests, 56.3% had at least one psychiatric disorder diagnosis and 1.4% were diagnosed with long COVID. Individuals with any psychiatric disorder had higher risk for long COVID diagnosis in models adjusted for socio-demographic factors, vaccination status, smoking, and medical comorbidities (relative risk, RR = 1.28, 95% CI 1.21-1.35), with the strongest associations in younger individuals. Considering specific disorders, depressive, anxiety, and stress-related disorders were associated with increased risk for long COVID diagnoses (RRs = 1.36-1.48), but associations were in the opposite direction for substance use and psychotic disorders (RRs = 0.78-0.88).

conclusionsPsychiatric disorder diagnoses were associated with increased long COVID diagnosis risk in VA patients, with the strongest associations observed in younger individuals. Improved surveillance, treatment, and prevention for COVID-19 and its long-term sequelae should be considered for individuals with psychiatric conditions.

Indexed as

COVID-19Mental DisordersVeteransAdultAgedComorbidityFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRetrospective StudiesRisk FactorsSARS-CoV-2United Stateslong COVIDpost-COVID-19 conditionspsychiatric disordersveterans

Identifiers

PMID38311905
PMCPMC11345858
OpenAlexW4391538493

What OpenQuestion holds

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Registered trials

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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.