Your browser doesn't support javascript.
loading
Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19
Stephen X. Zhang; Hao Huang; Jizhen Li; Antonelli-Ponti Mayra; de Paiva Farias Scheila; da Silva Aparecido Jose.
Afiliación
  • Stephen X. Zhang; University of Adelaide
  • Hao Huang; Southwestern University of Finance and Economics
  • Jizhen Li; Research Center for Competitive Dynamics and Innovation Strategy, School of Economics and Management, Tsinghua University
  • Antonelli-Ponti Mayra; University Center Barao de Mau
  • de Paiva Farias Scheila; Federal University of Sergipe
  • da Silva Aparecido Jose; Unit of Psychobiology, University of Sao Paulo in Ribeirao Preto
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21259409
Artículo de revista
Un artículo publicado en revista científica está disponible y probablemente es basado en este preprint, por medio del reconocimiento de similitud realizado por una máquina. La confirmación humana aún está pendiente.
Ver artículo de revista
ABSTRACT
The COVID-19 pandemic in Brazil is extremely severe, and Brazil has the third-highest number of cases in the world. The goal of the study is to identify the prevalence rates and several predictors of depression and anxiety in Brazil during the initial outbreak of COVID-19. We surveyed 482 adults in 23 Brazilian states online on 9-22 May 2020, and found 70.3% of the adults (N=339) had depressive symptoms and 67.2% (N=320) had anxiety symptoms. The results of multi-class logistic regression models revealed that females, younger adults and those with fewer children had a higher likelihood of depression and anxiety symptoms; adults who worked as employees were more likely to have anxiety symptoms than those who were self-employed or unemployed; adults who spent more time browsing COVID-19 information online were more likely to have depression and anxiety symptoms. Our results provide preliminary evidence and early warning for psychiatrists and healthcare organizations to better identify and focus on the more vulnerable sub-populations in Brazil during the ongoing COVID-19 pandemic.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint