Beatriz Lucuix, Maria , Gomez-Salgado, Juan , Barone, Myriam E. , DOMÍNGUEZ SALAS, SARA, Elizabeth Luque, Leticia , RODRÍGUEZ DOMÍNGUEZ, MARÍA DEL CARMEN, Ruiz-Frutos, Carlos
No
Medicine
Article
Científica
1.817
0.47
23/12/2021
000733564800028
2-s2.0-85122355819
In addition to the implications that this pandemic has had on physical health, there are other circumstances that threaten the mental health of the population, such as lockdown measures to prevent the spread of the virus, uncertainty, and the increase in infections and deaths. For this reason, this study explored indicators of psychological distress in the Argentine population, as well as its relationship with sociodemographic and health variables. Cross-sectional observational study, with data collection from May to August 2020. A total of 1112 people over the age of 18 who responded to various measurement instruments through an online questionnaire participated. A bivariate analysis and logistic regression were carried out in order to determine predictive factors of psychological distress. The data revealed that 60.9% of the sample presented psychological distress. A greater number with this condition was observed in women, apart from younger people, with a greater number of symptoms associated with the disease and with worse self-perceived health. There was no evidence of association between psychological distress and contact with people infected with coronavirus disease 2019 or with material suspicious of being infected. This research provided an overview of the mental health status of a significant population sample in Argentina, months after the onset of the coronavirus disease 2019 pandemic. These findings complement those found in other national and international studies, allowing the accumulation of evidence that states the need to demand to draw attention to the mental health of the population, especially the most vulnerable groups, on behalf of the public authorities.
COVID-19; lockdown; psychological distress; self-rated health; sociodemographic variables