Universidad Peruana Cayetano Heredia

Depression, post-traumatic stress, anxiety, and fear of COVID-19 in the general population and health-care workers: prevalence, relationship, and explicative model in Peru

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dc.contributor.author Villarreal-Zegarra, David
dc.contributor.author Copez-Lonzoy, A.
dc.contributor.author Vilela-Estrada, A.L.
dc.contributor.author Huarcaya-Victoria, J.
dc.date.accessioned 2021-12-12T20:24:53Z
dc.date.available 2021-12-12T20:24:53Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/20.500.12866/10197
dc.description.abstract Background: This study has two aims. First, determine the fit of the fear model to COVID-19, anxiety, and post-traumatic stress in the general population and health-care workers. Second, determine which model best explains the relationship between depression and the triad of fear, anxiety, and post-traumatic stress in both groups. Method: A cross-sectional study was conducted using self-reported questionnaires for anxiety, fear of COVID-19, depression, and post-traumatic stress. Information was collected from adults living in Lima, the capital and the most populous city in Peru. The explanatory models were evaluated using a structural equation model. Results: A total of 830 participants were included, including general population (n = 640) and health-care workers (n = 190). A high overall prevalence of depressive symptoms (16%), anxiety (11.7%), and post-traumatic stress (14.9%) were identified. A higher prevalence of depressive, anxious, or stress symptoms was identified in the general population (28.6%) compared to health-care workers (17.9%). The triad model of fear of COVID-19, anxiety, and stress presented adequate goodness-of-fit indices for both groups. A model was identified that manages to explain depressive symptoms in more than 70% of the general population and health-care workers, based on the variables of the triad (CFI = 0.94; TLI = 0.94; RMSEA = 0.06; SRMR = 0.06). In the general population post-traumatic stress mediated the relationship between anxiety and depression (β = 0.12; 95%CI = 0.06 to 0.18) which was significant, but the indirect effect of post-traumatic stress was not significant in health care workers (β = 0.03; 95%CI = − 0.11 to 0.19). Limitations: The prevalence estimates relied on self-reported information. Other variables of interest, such as intolerance to uncertainty or income level, could not be evaluated. Conclusions: Our study proposes and tests one model that explains more than 70% of depressive symptoms. This explanatory model can be used in health contexts and populations to determine how emotional factors can affect depressive symptoms en_US
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartofseries BMC Psychiatry
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject adult en_US
dc.subject Adult en_US
dc.subject anxiety en_US
dc.subject Anxiety en_US
dc.subject COVID-19 en_US
dc.subject Cross-Sectional Studies en_US
dc.subject cross-sectional study en_US
dc.subject depression en_US
dc.subject Depression en_US
dc.subject fear en_US
dc.subject Fear en_US
dc.subject Fear of COVID-19 en_US
dc.subject human en_US
dc.subject Humans en_US
dc.subject Peru en_US
dc.subject Post-traumatic stress en_US
dc.subject posttraumatic stress disorder en_US
dc.subject prevalence en_US
dc.subject Prevalence en_US
dc.subject SARS-CoV-2 en_US
dc.subject Stress Disorders, Post-Traumatic en_US
dc.title Depression, post-traumatic stress, anxiety, and fear of COVID-19 in the general population and health-care workers: prevalence, relationship, and explicative model in Peru en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1186/s12888-021-03456-z
dc.relation.issn 1471-244X


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