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Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study
BACKGROUND: Nurses are susceptible to several mental problems, such as fear, stress, and depression due to the COVID-19 pandemic, which affects their emotional well-being. However, resilience plays an important role in mitigating the effects of COVID-19. OBJECTIVE: This study was to examine the medi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109278/ https://www.ncbi.nlm.nih.gov/pubmed/35549758 http://dx.doi.org/10.1177/21501319221097075 |
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author | Chura, Sonia Saintila, Jacksaint Mamani, Rut Ruiz Mamani, Percy G. Morales-García, Wilter C. |
author_facet | Chura, Sonia Saintila, Jacksaint Mamani, Rut Ruiz Mamani, Percy G. Morales-García, Wilter C. |
author_sort | Chura, Sonia |
collection | PubMed |
description | BACKGROUND: Nurses are susceptible to several mental problems, such as fear, stress, and depression due to the COVID-19 pandemic, which affects their emotional well-being. However, resilience plays an important role in mitigating the effects of COVID-19. OBJECTIVE: This study was to examine the mediating role of resilience in the relation between fear, stress, and depression of nurses during COVID-19 health emergencies. METHODS: A cross-sectional—predictive study was carried out. The variables analyzed were fear, resilience, stress, and depression. A total of 286 nurses from 2 hospitals in the cities of Juliaca and Puno, Peru. Data analyses were performed using structural equation modeling (SEM). RESULTS: Analyses showed that the variables were significantly related (P < .01). In addition, a confirmatory analysis of the hypothesized model using structural equation modeling shows that fear and stress are predictors of depression, and that resilience plays a role in mediating the effect of fear on stress (X(2) = 534.69, gl = 372, P = .000; TLI = .902, CFI = .910, RMSEA = .039 [95% CI = 0.032-0.046], and SRMR = .065). CONCLUSION: Nurses tend to develop fear, stress, and depression. Resilience reduces the impact of these psychological variables. Hospital management should provide psychological support and training for nurses in coping strategies. |
format | Online Article Text |
id | pubmed-9109278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-91092782022-05-17 Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study Chura, Sonia Saintila, Jacksaint Mamani, Rut Ruiz Mamani, Percy G. Morales-García, Wilter C. J Prim Care Community Health Latin America Health: Public Policy and Primary Care BACKGROUND: Nurses are susceptible to several mental problems, such as fear, stress, and depression due to the COVID-19 pandemic, which affects their emotional well-being. However, resilience plays an important role in mitigating the effects of COVID-19. OBJECTIVE: This study was to examine the mediating role of resilience in the relation between fear, stress, and depression of nurses during COVID-19 health emergencies. METHODS: A cross-sectional—predictive study was carried out. The variables analyzed were fear, resilience, stress, and depression. A total of 286 nurses from 2 hospitals in the cities of Juliaca and Puno, Peru. Data analyses were performed using structural equation modeling (SEM). RESULTS: Analyses showed that the variables were significantly related (P < .01). In addition, a confirmatory analysis of the hypothesized model using structural equation modeling shows that fear and stress are predictors of depression, and that resilience plays a role in mediating the effect of fear on stress (X(2) = 534.69, gl = 372, P = .000; TLI = .902, CFI = .910, RMSEA = .039 [95% CI = 0.032-0.046], and SRMR = .065). CONCLUSION: Nurses tend to develop fear, stress, and depression. Resilience reduces the impact of these psychological variables. Hospital management should provide psychological support and training for nurses in coping strategies. SAGE Publications 2022-05-12 /pmc/articles/PMC9109278/ /pubmed/35549758 http://dx.doi.org/10.1177/21501319221097075 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Latin America Health: Public Policy and Primary Care Chura, Sonia Saintila, Jacksaint Mamani, Rut Ruiz Mamani, Percy G. Morales-García, Wilter C. Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title | Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title_full | Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title_fullStr | Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title_full_unstemmed | Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title_short | Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study |
title_sort | predictors of depression in nurses during covid-19 health emergency; the mediating role of resilience: a cross-sectional study |
topic | Latin America Health: Public Policy and Primary Care |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109278/ https://www.ncbi.nlm.nih.gov/pubmed/35549758 http://dx.doi.org/10.1177/21501319221097075 |
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