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Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling()
In this study, it was aimed to investigate the relationship between depression levels in midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic process structural equation modelling. This cross-sectional study was conducted with 313 midwives and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020652/ https://www.ncbi.nlm.nih.gov/pubmed/36064247 http://dx.doi.org/10.1016/j.apnu.2022.04.002 |
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author | Yilmaz, Ayşe Nur Aksoy Derya, Yeşim Altiparmak, Sümeyye Güçlü Cihan, Emel Öztaş, Hatice Gül |
author_facet | Yilmaz, Ayşe Nur Aksoy Derya, Yeşim Altiparmak, Sümeyye Güçlü Cihan, Emel Öztaş, Hatice Gül |
author_sort | Yilmaz, Ayşe Nur |
collection | PubMed |
description | In this study, it was aimed to investigate the relationship between depression levels in midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic process structural equation modelling. This cross-sectional study was conducted with 313 midwives and nurses. According to the model formed based on the presence of depression, as the Emotional Labor scores of the participants increased, their Beck Depression scores decreased 0.947-fold, while as their Secondary Traumatic Stress Scale scores increased, their Beck Depression scores increased 1.116-fold. It was determined that the scores of the participants in the Emotional Labor and Secondary Traumatic Stress Scales explained 42.8% of their Beck Depression Inventory scores. It was concluded that the depression statuses of the participants were affected by their emotional labor and secondary traumatic stress statuses. |
format | Online Article Text |
id | pubmed-9020652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90206522022-04-21 Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() Yilmaz, Ayşe Nur Aksoy Derya, Yeşim Altiparmak, Sümeyye Güçlü Cihan, Emel Öztaş, Hatice Gül Arch Psychiatr Nurs Article In this study, it was aimed to investigate the relationship between depression levels in midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic process structural equation modelling. This cross-sectional study was conducted with 313 midwives and nurses. According to the model formed based on the presence of depression, as the Emotional Labor scores of the participants increased, their Beck Depression scores decreased 0.947-fold, while as their Secondary Traumatic Stress Scale scores increased, their Beck Depression scores increased 1.116-fold. It was determined that the scores of the participants in the Emotional Labor and Secondary Traumatic Stress Scales explained 42.8% of their Beck Depression Inventory scores. It was concluded that the depression statuses of the participants were affected by their emotional labor and secondary traumatic stress statuses. Elsevier Inc. 2022-10 2022-04-20 /pmc/articles/PMC9020652/ /pubmed/36064247 http://dx.doi.org/10.1016/j.apnu.2022.04.002 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yilmaz, Ayşe Nur Aksoy Derya, Yeşim Altiparmak, Sümeyye Güçlü Cihan, Emel Öztaş, Hatice Gül Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title | Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title_full | Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title_fullStr | Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title_full_unstemmed | Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title_short | Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling() |
title_sort | investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the covid-19 pandemic period with structural equation modelling() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020652/ https://www.ncbi.nlm.nih.gov/pubmed/36064247 http://dx.doi.org/10.1016/j.apnu.2022.04.002 |
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