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dc.contributor.author
Giardino, Daniela L.  
dc.contributor.author
Huck Iriart, Cristián  
dc.contributor.author
Riddick, Maximiliano Luis  
dc.contributor.author
Garay, Arturo  
dc.date.available
2020-10-07T16:04:34Z  
dc.date.issued
2020-09  
dc.identifier.citation
Giardino, Daniela L.; Huck Iriart, Cristián; Riddick, Maximiliano Luis; Garay, Arturo; The endless quarantine: The impact of the COVID-19 outbreak on healthcare workers after three months of mandatory social isolation in Argentina; Elsevier Science; Sleep Medicine; 9-2020; 1-21  
dc.identifier.issn
1389-9457  
dc.identifier.uri
http://hdl.handle.net/11336/115536  
dc.description.abstract
Objectives: At the end of 2019 the SARS-CoV-2 outbreak spread around the globe with a late arrival to South America. The objective of this study was to evaluate the impact of the long period of mandatory social isolation that took place in Argentina on the general psychological well-being of healthcare workers due to the COVID-19 pandemic.Methods: A survey was conducted during June 2020, in healthcare workers. Pittsburgh Sleep Quality Index, Insomnia Severity Index, Sleepiness-Wakefulness Inability and Fatigue Test, and Goldberg depression and anxiety scale, were used to analyze the effects of the SARS-Cov 2 outbreak after three months of mandatory social isolation. Analyses were performed by logistic regression and a clustering algorithm in order to classify subjects in the function of their outcome's severity.Results: From 1059 surveys, the majority reported symptoms of depression (81.0%), anxiety (76.5%), poor sleep quality (84.7%), and insomnia (73.7%) with 68.9% suffering from nightmares. Logistic regression showed that being in contact with COVID-19 patients, age, gender and the consumption of sleep medication during the mandatory social isolation were relevant predictors for insomnia, anxiety, and depression. Clustering analysis classified healthcare workers in three groups with healthy/mild, moderate, and severe outcomes. The most vulnerable group was composed mainly of younger people, female, non-medical staff, or physicians in training.Conclusion: An extremely high proportion of Argentinian healthcare workers suffered from sleep problems, anxiety, and depression symptoms. The clustering algorithm successfully separates vulnerable from non-vulnerable populations suggesting the need to carry out future studies involving resilience and vulnerability factors.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COVID-19  
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SOCIAL ISOLATION  
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INSOMMIA  
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ANXIETY  
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HEALTHCARE WORKER  
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CLUSTERING ANALYSIS  
dc.subject.classification
Ciencias y Servicios de Cuidado de la Salud  
dc.subject.classification
Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
The endless quarantine: The impact of the COVID-19 outbreak on healthcare workers after three months of mandatory social isolation in Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-10-07T14:11:21Z  
dc.journal.pagination
1-21  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Giardino, Daniela L.. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina  
dc.description.fil
Fil: Huck Iriart, Cristián. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Riddick, Maximiliano Luis. Universidad Nacional de la Plata. Facultad de Cs.exactas. Centro de Matematica de la Plata.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina  
dc.description.fil
Fil: Garay, Arturo. Centro de Educaciones Médicas e Investigación Clínica "Norberto Quirno"; Argentina  
dc.journal.title
Sleep Medicine  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1389945720304251  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.sleep.2020.09.022