Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contacto
  • Sugerencias
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUBUComunidadesFechaAutor / DirectorTítuloMateria / AsignaturaEsta colecciónFechaAutor / DirectorTítuloMateria / Asignatura

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    Compartir

    Ver ítem 
    •   RIUBU Principal
    • E-Prints y Datos de investigación
    • Grupos de investigación
    • Patofisiología de la Diabetes, Obesidad y su Educación Terapéutica (DIABO-TER)
    • Artículos DIABO-TER
    • Ver ítem
    •   RIUBU Principal
    • E-Prints y Datos de investigación
    • Grupos de investigación
    • Patofisiología de la Diabetes, Obesidad y su Educación Terapéutica (DIABO-TER)
    • Artículos DIABO-TER
    • Ver ítem

    Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/11363

    Título
    Prevalence and Predictors of Long Covid in a Cohort of Brazilian Adults 12 Months After Acute Infection: A Cross‐Sectional Study
    Autor
    Covre, Eduardo Rocha
    Laranjeira, Carlos
    Carreira, Lígia
    Höring, Carla Franciele
    Góes, Herbert Leopoldo de Freitas
    Baldissera, Vanessa Denardi Antoniassi
    Marques, Priscila Garcia
    Meireles, Viviani Camboin
    Tostes, Maria Fernanda do Prado
    Oliveira, Rosana Rosseto de
    Paiano, Marcelle
    Ageno, Rosella Santoro
    Moroskoski, Márcia
    Puente Alcaraz, JesúsAutoridad UBU Orcid
    Vissoci, João Ricardo Nickenig
    Facchini, Luiz Augusto
    Salci, Maria Aparecida
    Publicado en
    Health Expectations. 2025, V. 28, n. 6
    Editorial
    Wiley
    Fecha de publicación
    2025-11
    ISSN
    1369-6513
    DOI
    10.1111/hex.70467
    Resumen
    Introduction: Since the onset of the pandemic in early 2020, various reports have emerged regarding persistent symptomsassociated with Covid‐19. Nevertheless, there is insufficient data on the persistence of symptoms over time. This study sought toestimate the prevalence of persistent symptoms 12 months after Covid‐19 infection and identify predictors of long Covid inadults 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 assessedfrom 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). Prevalencewas higher in women (67.7%), people aged between 50 and 59 years (65.8%) and in individuals who received treatment in anIntensive Care Unit (ICU) during the acute phase of Covid‐19 infection (74.4%, n = 241). The risk factors associated with agreater chance of developing long Covid were: female (OR 2.38; 95% CI 1.55; 3.66), living in the Brazilian northwest healthmacro‐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 sixsymptoms 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)
    Palabras clave
    Adults
    Brazil
    COVID-19
    Long Covid
    Predictors
    Prevalence
    Materia
    Covid-19
    COVID-19 (Disease)
    Salud pública
    Public health
    URI
    https://hdl.handle.net/10259/11363
    Versión del editor
    https://doi.org/10.1111/hex.70467
    Aparece en las colecciones
    • Artículos DIABO-TER
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Ficheros en este ítem
    Nombre:
    Rocha-he_2025.pdf
    Tamaño:
    271.2Kb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir

    Métricas

    Citas

    Ver estadísticas de uso

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Mostrar el registro completo del ítem

    Universidad de Burgos

    Powered by MIT's. DSpace software, Version 5.10