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Prevalence and Predictors of Long Covid in a Cohort of Brazilian Adults 12 Months After Acute Infection: A CrossâSectional Study
| datacite.subject.fos | CiĂŞncias MĂŠdicas::CiĂŞncias da SaĂşde | |
| datacite.subject.sdg | 03:SaĂşde de Qualidade | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 17:Parcerias para a Implementação dos Objetivos | |
| dc.contributor.author | Covre, Eduardo Rocha | |
| dc.contributor.author | Laranjeira, Carlos | |
| dc.contributor.author | Carreira, LĂgia | |
| dc.contributor.author | HĂśring, Carla Franciele | |
| dc.contributor.author | GĂłes, Herbert Leopoldo de Freitas | |
| dc.contributor.author | Baldissera, Vanessa Denardi Antoniassi | |
| dc.contributor.author | Marques, Priscila Garcia | |
| dc.contributor.author | Meireles, Viviane Camboin | |
| dc.contributor.author | Tostes, Maria Fernanda do Prado | |
| dc.contributor.author | Oliveira, Rosana Rosseto de | |
| dc.contributor.author | Paiano, Marcelle | |
| dc.contributor.author | Ageno, Rosella Santoro | |
| dc.contributor.author | Moroskoski, MĂĄrcia | |
| dc.contributor.author | Alcaraz, JesĂşs Puente | |
| dc.contributor.author | Vissoci, JoĂŁo Nickenig | |
| dc.contributor.author | Facchini, Luiz Augusto | |
| dc.contributor.author | Salci, Maria | |
| dc.contributor.editor | Chew-Graham, Carolyn | |
| dc.date.accessioned | 2025-12-16T16:40:08Z | |
| dc.date.available | 2025-12-16T16:40:08Z | |
| dc.date.issued | 2025-11-14 | |
| dc.description | Article n. e70467 | |
| dc.description | Acknowledgements The authors wish to thank all study participants and the healthcare professionals who contributed to the data collection. | |
| dc.description.abstract | Introduction: Since the onset of the pandemic in early 2020, various reports have emerged regarding persistent symptoms associated with Covidâ19. 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 Covidâ19 infection and identify predictors of long Covid in adults living in the State of ParanĂĄ, southern Brazil, according to the level of severity of Covidâ19 infection. Method: An observational and crossâsectional survey was conducted with Brazilian adults diagnosed with Covidâ19, as assessed from data available in two official Covidâ19 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 Covidâ19 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 macroâregion (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 Covidâ19 (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 patientâcentred care. | eng |
| dc.description.sponsorship | This study was funded by MinistĂŠrio da CiĂŞncia, Tecnologia, Inovaçþes e Comunicaçþes (FNDCT/MCTIC), MinistĂŠrio da SaĂşde (MS) and Conselho Nacional de Desenvolvimento CientĂfico e TecnolĂłgico (CNPq)âProcesso n⌠402882/2020-2. It was also supported by FCTâFundação para a CiĂŞncia e a Tecnologia, I.P. (UID/05704/2023) and by the Scientific Employment StimulusâInstitutional Callâ[https://doi.org/10.54499/CEECINST/00051/2018/CP1566/CT0012, accessed on 20 September 2025]. | |
| dc.identifier.citation | E. R. Covre, C. Laranjeira, L. Carreira, et al., â Prevalence and Predictors of Long COVID in a Cohort of Brazilian Adults 12 Months After Acute Infection: A Cross-Sectional Study,â Health Expectations 0 (2025 28:): 1â15. https://doi.org/10.1111/hex.70467. | |
| dc.identifier.doi | 10.1111/hex.70467 | |
| dc.identifier.eissn | 1369-7625 | |
| dc.identifier.issn | 1369-6513 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/15095 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Wiley | |
| dc.relation | Center for Innovative Care and Health Technology | |
| dc.relation.hasversion | https://onlinelibrary.wiley.com/doi/10.1111/hex.70467 | |
| dc.relation.ispartof | Health Expectations | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Adults | |
| dc.subject | Brazil | |
| dc.subject | Covidâ19 | |
| dc.subject | Long Covid | |
| dc.subject | Predictors | |
| dc.subject | Prevalence | |
| dc.title | Prevalence and Predictors of Long Covid in a Cohort of Brazilian Adults 12 Months After Acute Infection: A CrossâSectional Study | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Center for Innovative Care and Health Technology | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05704%2F2020/PT | |
| oaire.citation.endPage | 15 | |
| oaire.citation.issue | 6 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Health Expectations | |
| oaire.citation.volume | 28 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Laranjeira | |
| person.givenName | Carlos | |
| person.identifier.orcid | 0000-0003-1080-9535 | |
| person.identifier.scopus-author-id | 22957802900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| relation.isAuthorOfPublication | 7c2157d8-cac9-4004-9438-e92fec260842 | |
| relation.isAuthorOfPublication.latestForDiscovery | 7c2157d8-cac9-4004-9438-e92fec260842 | |
| relation.isProjectOfPublication | d421b07d-3471-4026-aa43-def80b8e142b | |
| relation.isProjectOfPublication.latestForDiscovery | d421b07d-3471-4026-aa43-def80b8e142b |
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