Evidence map›Paper›PMID 42215921›Full record

ArticleBMC public health2026

Bidirectional relationship between depression and long COVID symptoms: findings from the Sulcovid-19 longitudinal survey.

Juliana Quadros Santos Rocha, Lara Dos Santos Camilo, Suele Manjourany Silva Duro, Mirelle de Oliveira Saes

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Juliana Quadros Santos RochaPostgraduate Programme in Health Sciences, Federal University of Rio Grande, General Osório, S/N, Centro, Rio Grande, Rio Grande Do Sul, RS, 96203-900, Brazil. julianaqrocha2@gmail.com.ORCID http://orcid.org/0000-0002-9743-6331
Lara Dos Santos CamiloPostgraduate Programme in Health Sciences, Federal University of Rio Grande, General Osório, S/N, Centro, Rio Grande, Rio Grande Do Sul, RS, 96203-900, Brazil.ORCID http://orcid.org/0000-0001-5043-4374
Suele Manjourany Silva DuroSchool of Nursing, Federal University of Pelotas, Rio Grande Do Sul, Pelotas, Brazil.ORCID http://orcid.org/0000-0001-5730-0811
Mirelle de Oliveira SaesMedical School, Federal University of Rio Grande, Rio Grande, Rio Grande Do Sul, Brazil.ORCID http://orcid.org/0000-0001-7225-1552

Funding

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 21/2551-0000107-0
6 · The paper itself

Abstract

Long COVID is a condition that may manifest after SARS-CoV-2 infection, associated with complications such as depression and persistent symptoms. This study evaluated the relationship between prior depression and the occurrence of Long COVID, as well as investigated whether symptoms of this condition increase the risk of depression following infection in adults from southern Brazil. Using data from the longitudinal Sulcovid-19 study, the analysis included variables such as sex, age, skin color, marital status, income, smoking, body mass index, comorbidities, and hospitalization. The prevalence of Long COVID was 60 percentage points higher among individuals with prior depression, and this condition increased the probability of depression after infection by 65%. Associations were evaluated using Poisson regression in Stata 17.0. The results highlight the importance of investigating the implications of Long COVID and developing effective therapeutic approaches.

Indexed as

COVID-19DepressionAdultBrazilFemaleHumansLongitudinal StudiesMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromePrevalenceRisk FactorsDepressionLongitudinal studiesPost-Acute COVID-19 Syndrome

Identifiers

PMID42215921
PMCPMC13418775

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.