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Prevalence and Predictors of Long Covid in a Cohort of Brazilian Adults 12 Months After Acute Infection: A Cross‐Sectional Study

datacite.subject.fosCiĂŞncias MĂŠdicas::CiĂŞncias da SaĂşde
datacite.subject.sdg03:SaĂşde de Qualidade
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg17:Parcerias para a Implementação dos Objetivos
dc.contributor.authorCovre, Eduardo Rocha
dc.contributor.authorLaranjeira, Carlos
dc.contributor.authorCarreira, LĂ­gia
dc.contributor.authorHĂśring, Carla Franciele
dc.contributor.authorGĂłes, Herbert Leopoldo de Freitas
dc.contributor.authorBaldissera, Vanessa Denardi Antoniassi
dc.contributor.authorMarques, Priscila Garcia
dc.contributor.authorMeireles, Viviane Camboin
dc.contributor.authorTostes, Maria Fernanda do Prado
dc.contributor.authorOliveira, Rosana Rosseto de
dc.contributor.authorPaiano, Marcelle
dc.contributor.authorAgeno, Rosella Santoro
dc.contributor.authorMoroskoski, MĂĄrcia
dc.contributor.authorAlcaraz, JesĂşs Puente
dc.contributor.authorVissoci, JoĂŁo Nickenig
dc.contributor.authorFacchini, Luiz Augusto
dc.contributor.authorSalci, Maria
dc.contributor.editorChew-Graham, Carolyn
dc.date.accessioned2025-12-16T16:40:08Z
dc.date.available2025-12-16T16:40:08Z
dc.date.issued2025-11-14
dc.descriptionArticle n. e70467
dc.descriptionAcknowledgements The authors wish to thank all study participants and the healthcare professionals who contributed to the data collection.
dc.description.abstractIntroduction: Since the onset of the pandemic in early 2020, various reports have emerged regarding persistent symptoms associated with Covid‐19. Nevertheless, there is insufficient data on the persistence of symptoms over time. This study sought to estimate the prevalence of persistent symptoms 12 months after Covid‐19 infection and identify predictors of long Covid in adults living in the State of Paraná, southern Brazil, according to the level of severity of Covid‐19 infection. Method: An observational and cross‐sectional survey was conducted with Brazilian adults diagnosed with Covid‐19, as assessed from data available in two official Covid‐19 notification databases in Brazil, using telephone interviews. Descriptive statistics, tests of associations and simple and multiple binary logistic regression analysis were used to identify predictors of long Covid. Results: In total, 1033 adults participated in the study. The overall prevalence of long Covid was 60.3% (n = 623). Prevalence was higher in women (67.7%), people aged between 50 and 59 years (65.8%) and in individuals who received treatment in an Intensive Care Unit (ICU) during the acute phase of Covid‐19 infection (74.4%, n = 241). The risk factors associated with a greater chance of developing long Covid were: female (OR 2.38; 95% CI 1.55; 3.66), living in the Brazilian northwest health macro‐region (OR 2.20; 95% CI 1.21; 4.00), presenting multimorbidity (OR 1.86; 95% CI 1.06; 3.28), having an average of six symptoms in the acute phase of Covid‐19 (OR 1.22; 95% CI 1.17; 1.28) and having received treatment in an ICU (OR 4.86; 95% CI 2.83; 8.35) and inpatient ward (OR 2.45; 95% CI 1.47; 4.09). Conclusions: The results highlight the high prevalence of long Covid and support the formulation of health policies capable of minimising the consequences on the population, on the services offered by professionals and on health systems. Patient or Public Contribution: The study topic's importance was based on the patients' experiences in the author's previous research and the need to develop patient‐centred care.eng
dc.description.sponsorshipThis study was funded by Ministério da Ciência, Tecnologia, Inovações e Comunicações (FNDCT/MCTIC), Ministério da Saúde (MS) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)—Processo n◦ 402882/2020-2. It was also supported by FCT—Fundação para a Ciência e a Tecnologia, I.P. (UID/05704/2023) and by the Scientific Employment Stimulus—Institutional Call—[https://doi.org/10.54499/CEECINST/00051/2018/CP1566/CT0012, accessed on 20 September 2025].
dc.identifier.citationE. R. Covre, C. Laranjeira, L. Carreira, et al., “ Prevalence and Predictors of Long COVID in a Cohort of Brazilian Adults 12 Months After Acute Infection: A Cross-Sectional Study,” Health Expectations 0 (2025 28:): 1–15. https://doi.org/10.1111/hex.70467.
dc.identifier.doi10.1111/hex.70467
dc.identifier.eissn1369-7625
dc.identifier.issn1369-6513
dc.identifier.urihttp://hdl.handle.net/10400.8/15095
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relationCenter for Innovative Care and Health Technology
dc.relation.hasversionhttps://onlinelibrary.wiley.com/doi/10.1111/hex.70467
dc.relation.ispartofHealth Expectations
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAdults
dc.subjectBrazil
dc.subjectCovid‐19
dc.subjectLong Covid
dc.subjectPredictors
dc.subjectPrevalence
dc.titlePrevalence and Predictors of Long Covid in a Cohort of Brazilian Adults 12 Months After Acute Infection: A Cross‐Sectional Studyeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Innovative Care and Health Technology
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05704%2F2020/PT
oaire.citation.endPage15
oaire.citation.issue6
oaire.citation.startPage1
oaire.citation.titleHealth Expectations
oaire.citation.volume28
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLaranjeira
person.givenNameCarlos
person.identifier.orcid0000-0003-1080-9535
person.identifier.scopus-author-id22957802900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication7c2157d8-cac9-4004-9438-e92fec260842
relation.isAuthorOfPublication.latestForDiscovery7c2157d8-cac9-4004-9438-e92fec260842
relation.isProjectOfPublicationd421b07d-3471-4026-aa43-def80b8e142b
relation.isProjectOfPublication.latestForDiscoveryd421b07d-3471-4026-aa43-def80b8e142b

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