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Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis
BACKGROUND: Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifical...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503998/ https://www.ncbi.nlm.nih.gov/pubmed/34629068 http://dx.doi.org/10.1186/s12912-021-00702-3 |
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author | Pei, Juhong Wang, Xinglei Chen, Haixia Zhang, Hongchen Nan, Ruiling Zhang, Jing Dou, Xinman |
author_facet | Pei, Juhong Wang, Xinglei Chen, Haixia Zhang, Hongchen Nan, Ruiling Zhang, Jing Dou, Xinman |
author_sort | Pei, Juhong |
collection | PubMed |
description | BACKGROUND: Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. PURPOSE: To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China. METHODS: This descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support. RESULTS: Results supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P < 0.001) and depression (β = 0.50; P < 0.001), and exhibited a negative direct effect on social support (β = − 0.14; P = 0.041). Depression was associated with burnout, both directly (β = 0.24; P < 0.001) and indirectly (β = 0.15; P < 0.001) through its relationship with social support. Alexithymia was the factor most strongly associated with burnout, and it was able to affect burnout indirectly through depression and social support. CONCLUSIONS: We found that among emergency nurses in China, alexithymia was correlated with burnout, depression, and social support. Alexithymia was the factor most strongly associated with burnout. These data suggest that providing better social support and alleviating alexithymia may decrease rates of burnout among emergency nurses. |
format | Online Article Text |
id | pubmed-8503998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85039982021-10-20 Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis Pei, Juhong Wang, Xinglei Chen, Haixia Zhang, Hongchen Nan, Ruiling Zhang, Jing Dou, Xinman BMC Nurs Research Article BACKGROUND: Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. PURPOSE: To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China. METHODS: This descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support. RESULTS: Results supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P < 0.001) and depression (β = 0.50; P < 0.001), and exhibited a negative direct effect on social support (β = − 0.14; P = 0.041). Depression was associated with burnout, both directly (β = 0.24; P < 0.001) and indirectly (β = 0.15; P < 0.001) through its relationship with social support. Alexithymia was the factor most strongly associated with burnout, and it was able to affect burnout indirectly through depression and social support. CONCLUSIONS: We found that among emergency nurses in China, alexithymia was correlated with burnout, depression, and social support. Alexithymia was the factor most strongly associated with burnout. These data suggest that providing better social support and alleviating alexithymia may decrease rates of burnout among emergency nurses. BioMed Central 2021-10-10 /pmc/articles/PMC8503998/ /pubmed/34629068 http://dx.doi.org/10.1186/s12912-021-00702-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Pei, Juhong Wang, Xinglei Chen, Haixia Zhang, Hongchen Nan, Ruiling Zhang, Jing Dou, Xinman Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title | Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title_full | Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title_fullStr | Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title_full_unstemmed | Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title_short | Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis |
title_sort | alexithymia, social support, depression, and burnout among emergency nurses in china: a structural equation model analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503998/ https://www.ncbi.nlm.nih.gov/pubmed/34629068 http://dx.doi.org/10.1186/s12912-021-00702-3 |
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