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Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis
BACKGROUND: Individual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the healt...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515238/ https://www.ncbi.nlm.nih.gov/pubmed/37735692 http://dx.doi.org/10.1186/s12913-023-09949-9 |
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author | Lönnqvist, Katri Sinervo, Timo Kaihlanen, Anu-Marja Vehviläinen-Julkunen, Katri Elovainio, Marko |
author_facet | Lönnqvist, Katri Sinervo, Timo Kaihlanen, Anu-Marja Vehviläinen-Julkunen, Katri Elovainio, Marko |
author_sort | Lönnqvist, Katri |
collection | PubMed |
description | BACKGROUND: Individual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the health and well-being. The purpose of this study was to identify latent psychosocial work characteristic profiles, including procedural, interactional and distributive justice, job demand and job control, and examine whether the profiles are associated with sleep quality among early career registered nurses. METHODS: We conducted a cross-sectional study comprising 632 early career registered nurses. Data were collected between November and December 2018 using an electronic survey with internationally validated measures including the Organizational Justice Scale, the Nurse Stress Index Scale, the Job Content Questionnaire, and the Sleep Problems Questionnaire. Latent profile analysis was used to identify groups with similar psychosocial work characteristic profiles. Multinomial and linear regression analyses were used to examine the association between latent work characteristics profiles and sleep quality. RESULTS: Analysis yielded four profiles. The profiles were named based on the descriptions of classes as high strain/low justice, medium strain/high justice, medium strain/medium justice, and low strain/high justice. The low strain/high justice profile group (p = < 0.001) and the medium strain/high justice profile group (p = 0.002) had statistically significantly better sleep quality compared to the high strain/low justice profile group. CONCLUSIONS: High procedural and interactional justice may alleviate strain in early career registered nurses and protect them against sleep problems. Promoting organizational justice in early career stages seems an efficient way to enhance registered nurses’ well-being and sleep quality. |
format | Online Article Text |
id | pubmed-10515238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105152382023-09-23 Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis Lönnqvist, Katri Sinervo, Timo Kaihlanen, Anu-Marja Vehviläinen-Julkunen, Katri Elovainio, Marko BMC Health Serv Res Research BACKGROUND: Individual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the health and well-being. The purpose of this study was to identify latent psychosocial work characteristic profiles, including procedural, interactional and distributive justice, job demand and job control, and examine whether the profiles are associated with sleep quality among early career registered nurses. METHODS: We conducted a cross-sectional study comprising 632 early career registered nurses. Data were collected between November and December 2018 using an electronic survey with internationally validated measures including the Organizational Justice Scale, the Nurse Stress Index Scale, the Job Content Questionnaire, and the Sleep Problems Questionnaire. Latent profile analysis was used to identify groups with similar psychosocial work characteristic profiles. Multinomial and linear regression analyses were used to examine the association between latent work characteristics profiles and sleep quality. RESULTS: Analysis yielded four profiles. The profiles were named based on the descriptions of classes as high strain/low justice, medium strain/high justice, medium strain/medium justice, and low strain/high justice. The low strain/high justice profile group (p = < 0.001) and the medium strain/high justice profile group (p = 0.002) had statistically significantly better sleep quality compared to the high strain/low justice profile group. CONCLUSIONS: High procedural and interactional justice may alleviate strain in early career registered nurses and protect them against sleep problems. Promoting organizational justice in early career stages seems an efficient way to enhance registered nurses’ well-being and sleep quality. BioMed Central 2023-09-21 /pmc/articles/PMC10515238/ /pubmed/37735692 http://dx.doi.org/10.1186/s12913-023-09949-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Lönnqvist, Katri Sinervo, Timo Kaihlanen, Anu-Marja Vehviläinen-Julkunen, Katri Elovainio, Marko Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title | Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title_full | Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title_fullStr | Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title_full_unstemmed | Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title_short | Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
title_sort | psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515238/ https://www.ncbi.nlm.nih.gov/pubmed/37735692 http://dx.doi.org/10.1186/s12913-023-09949-9 |
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