Faculty, Staff and Student Publications
Publication Date
1-1-2024
Journal
Cadernos de Saúde Pública
Abstract
This study aimed to estimate the prevalence of alterations in self-perceived mental health during the COVID-19 pandemic and their associated factors in four Latin American countries. This is a cross-sectional study based on data collected from adults in 2021 through the Collaborative Response COVID-19 Survey by the MacDonnell Academy at Washington University in St. Louis (United States). The sample was composed of 8,125 individuals from Brazil, Colombia, Mexico, and Chile. A generalized linear model for a binary outcome variable with a logistic link and fixed country effects was used. There were 2,336 (28.75%) individuals who considered having suffered alterations in self-perceived mental health. Unemployed individuals (OR = 1.40; 95%CI: 1.24-1.58), those with bad/regular quality of life (OR = 5.03; 95%CI: 4.01-6.31), and those with high socioeconomic status (OR = 1.66; 95%CI: 1.41-1.96) had a higher risk of self-perceived mental health alterations than those with full-time employment, excellent quality, and low socioeconomic status. According to the fixed-effects model, Brazilians living in the country during the pandemic, who disagreed with their government's decisions (OR = 2.05; 95%CI: 1.74-2.42) and lacked trust in their government (OR = 2.10; 95%CI: 1.74-2.42) had a higher risk of having self-perceived mental health alterations. Nearly 30% of respondents indicated that the COVID-19 pandemic altered their self-perceived mental health. This outcome was associated with political, sociodemographic, and health risk factors. These findings should help policymakers develop post-pandemic community interventions.
Keywords
Adult, Humans, Latin America, COVID-19, Mental Health, Quality of Life, Cross-Sectional Studies, Pandemics, Brazil, Self Concept, South American People
DOI
10.1590/0102-311XEN157723
PMID
38536990
PMCID
PMC10962434
PubMedCentral® Posted Date
May 2024
PubMedCentral® Full Text Version
Post-print
Included in
Community Health Commons, COVID-19 Commons, Demography, Population, and Ecology Commons, Epidemiology Commons, Medicine and Health Commons, Psychiatric and Mental Health Commons