|
?:abstract
|
-
Abstract The first Brazilian diagnosed with COVID-19 was identified on February 25th, resulting in a series of governmental actions to prepare the population for the effects of the pandemic. Nevertheless, geographic and socioeconomic characteristics of the country, and the strategies adopted may have contributed to generating a widespread feeling of uncertainty in the population; uncertainty about the disease, how to prevent it, its severity, and its impact on political and economic issues. This study was designed to investigate the relationship between intolerance of uncertainty and common mental health disorders. Participants were contacted via social media messages and encouraged to fill out an online questionnaire with socioeconomic questions, a short measure of intolerance of uncertainty (IUS-12), and a measure of mental health indicator (DASS-21). With a sample of 924 participants from Sergipe, Brazil, three binomial logistic regressions were performed, one for each DASS-21 outcome, categorized by a median. The women in the sample showed a higher probability of having stress, anxiety and depression scores above the median. Over the entire sample, both subscales of IUS-12 were significantly and positively related to all three DASS-21 subscales. These findings are discussed in the context of mental health during a pandemic, and future directions for research are also presented.
|
![[This page as RDF]](https://research.tib.eu/covid-19/static/rdf-icon.gif){kind=icon}