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 |
|