Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Stephen X. Zhang, Hao Huang, Jizhen Li, Mayra Antonelli-Ponti, Scheila Farias de Paiva and José Aparecido da Silva
Additional contact information
Stephen X. Zhang: Faculty of Professions, University of Adelaide, Adelaide, SA 5000, Australia
Hao Huang: School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
Jizhen Li: Research Center for Competitive Dynamics and Innovation Strategy, School of Economics and Management, Tsinghua University, Beijing 100084, China
Mayra Antonelli-Ponti: Department of Psychology, University of São Paulo, Ribeirão Preto 14040-901, Brazil
Scheila Farias de Paiva: Department of Speech and Language Pathology, Federal University of Sergipe (UFS), Lagarto 49100-000, Brazil
José Aparecido da Silva: Unit of Psychobiology, University of São Paulo, Ribeirão Preto 14040-901, Brazil

IJERPH, 2021, vol. 18, issue 13, 1-10

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 that 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.

Keywords: COVID-19; Brazil; anxiety; depression; predictors; risk factors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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