Cargando…

Misinformation about COVID-19 among middle-aged and older migrants residing in Brazil and Portugal

OBJECTIVE: The aim of this study was to assess the prevalence of COVID-19 misinformation among migrants aged 50 or older residing in Brazil and Portugal. METHOD: This was a cross-sectional analytical study conducted among migrants from Portuguese-speaking countries living in Brazil and Portugal, who...

Descripción completa

Detalles Bibliográficos
Autores principales: de Oliveira, Rodrigo Mota, de Sousa, Álvaro Francisco Lopes, de Sousa, Anderson Reis, Araújo, Agostinho Antônio Cruz, Muniz, Vinícius de Oliveira, Fronteira, Inês, Mendes, Isabel Amélia Costa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universidade de São Paulo, Escola de Enfermagem 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513484/
https://www.ncbi.nlm.nih.gov/pubmed/37603876
http://dx.doi.org/10.1590/1980-220X-REEUSP-2022-0401en
Descripción
Sumario:OBJECTIVE: The aim of this study was to assess the prevalence of COVID-19 misinformation among migrants aged 50 or older residing in Brazil and Portugal. METHOD: This was a cross-sectional analytical study conducted among migrants from Portuguese-speaking countries living in Brazil and Portugal, who were 50 years of age or older. The prevalence ratios (PR) were estimated using the Poisson regression model. RESULTS: Out of the 304 participants included in the study, 188 (61.8%) agreed with at least one piece of misinformation. Factors such as having a religious affiliation (aPR: 1.24), higher educational attainment (aPR: 1.17), knowing someone who died from COVID-19 (aPR: 1.78), and having no intention to get vaccinated (aPR: 1.36) were associated with a higher likelihood of agreeing with COVID-19 misinformation. CONCLUSION: The findings suggest that access to misinformation was influenced by social, economic, and religious factors among elderly migrants with low digital literacy, thus contributing to the dissemination of false content within this population.