Perceptions, maltreatment and religion as predictors of the psycho-emotional impact on nurses during the COVID-19 pandemic.


Journal

Revista brasileira de enfermagem
ISSN: 1984-0446
Titre abrégé: Rev Bras Enferm
Pays: Brazil
ID NLM: 7910105

Informations de publication

Date de publication:
2023
Historique:
received: 07 01 2023
accepted: 02 02 2023
medline: 25 8 2023
pubmed: 23 8 2023
entrez: 23 8 2023
Statut: epublish

Résumé

to analyze the relationship between perceptions, abuse and religion with the psycho-emotional impact on nurses during the COVID-19 pandemic. descriptive-analytical cross-sectional study. It took place between 2020 and 2021 and a total of 319 clinical nurses in Peru were interviewed using the DASS-21. Associations were assessed using Spearman's Rho and multiple regression. 18.5% had some degree of stress; 50.2%, anxiety and 29.1%, depression. Experience of abuse, self-perception of mental health and religion were predictors of stress, anxiety and depression. The length of work experience predicts stress and anxiety. In addition, self-perception of information and gender were predictors of depression. peruvian nurses have high levels of stress, anxiety and depression, and this psycho-emotional impact was associated with perceptions, experiences of abuse and religion.

Identifiants

pubmed: 37610953
pii: S0034-71672023000700219
doi: 10.1590/0034-7167-2022-0768
pmc: PMC10441210
pii:
doi:

Types de publication

Journal Article

Langues

eng spa

Pagination

e20220768

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Auteurs

Jhon Alex Zeladita-Huaman (JA)

Universidad Nacional Mayor de San Marcos. Lima, Lima, Perú.

Stefanny Lizbeth De la Cruz-Espinoza (SL)

Universidad Nacional Mayor de San Marcos. Lima, Lima, Perú.

Gabriela Samillán-Yncio (G)

Universidad Nacional Mayor de San Marcos. Lima, Lima, Perú.

Rosa Castro-Murillo (R)

Hospital Hermilio Valdizán. Santa Anita, Lima, Perú.

Eduardo Franco-Chalco (E)

Universidad María Auxiliadora. San Juan de Lurigancho, Lima, Perú.

Roberto Zegarra-Chapoñan (R)

Universidad María Auxiliadora. San Juan de Lurigancho, Lima, Perú.

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Classifications MeSH