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Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study
Although nurses’ fatigue affects their well-being and patient safety, no effective objective measurements exist. We explored the profiles of salivary biomarkers associated with nurses’ chronic fatigue across several shifts. This longitudinal study involved 45 shiftwork nurses and collected their sal...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407778/ https://www.ncbi.nlm.nih.gov/pubmed/36011073 http://dx.doi.org/10.3390/healthcare10081416 |
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author | Yamaguchi, Shinya Watanabe, Kazuhiro Sugimura, Naotaka Shishido, Inaho Konya, Issei Fujita, Tomoko Yoshimitsu, Yuichi Kato, Shintaro Ito, Yoichi M. Yano, Rika |
author_facet | Yamaguchi, Shinya Watanabe, Kazuhiro Sugimura, Naotaka Shishido, Inaho Konya, Issei Fujita, Tomoko Yoshimitsu, Yuichi Kato, Shintaro Ito, Yoichi M. Yano, Rika |
author_sort | Yamaguchi, Shinya |
collection | PubMed |
description | Although nurses’ fatigue affects their well-being and patient safety, no effective objective measurements exist. We explored the profiles of salivary biomarkers associated with nurses’ chronic fatigue across several shifts. This longitudinal study involved 45 shiftwork nurses and collected their saliva samples before two night and two day shifts for a month. Chronic fatigue was measured using the Cumulative Fatigue Symptom Index before the first night shift. Biomarker profiles were analyzed using hierarchical cluster analysis, and chronic fatigue levels were compared between the profiles. Cortisol profiles were classified into high- and low-level groups across two day shifts; the low-level group presented significantly higher irritability and unwillingness to work. Secretory immunoglobulin A (s-IgA) profiles across the four shifts were classified into high- and low-level groups; the high-level group had significantly higher depressive feelings, decreased vitality, irritability, and unwillingness to work. Cortisol (two day shifts) and s-IgA (four shifts) profiles were combined, and (i) cortisol low-level and s-IgA high-level and (ii) cortisol high-level and s-IgA low-level groups were identified. The former group had significantly higher chronic fatigue sign and irritability than the latter group. The profiles of salivary cortisol and s-IgA across several shifts were associated with nurses’ chronic fatigue. |
format | Online Article Text |
id | pubmed-9407778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94077782022-08-26 Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study Yamaguchi, Shinya Watanabe, Kazuhiro Sugimura, Naotaka Shishido, Inaho Konya, Issei Fujita, Tomoko Yoshimitsu, Yuichi Kato, Shintaro Ito, Yoichi M. Yano, Rika Healthcare (Basel) Article Although nurses’ fatigue affects their well-being and patient safety, no effective objective measurements exist. We explored the profiles of salivary biomarkers associated with nurses’ chronic fatigue across several shifts. This longitudinal study involved 45 shiftwork nurses and collected their saliva samples before two night and two day shifts for a month. Chronic fatigue was measured using the Cumulative Fatigue Symptom Index before the first night shift. Biomarker profiles were analyzed using hierarchical cluster analysis, and chronic fatigue levels were compared between the profiles. Cortisol profiles were classified into high- and low-level groups across two day shifts; the low-level group presented significantly higher irritability and unwillingness to work. Secretory immunoglobulin A (s-IgA) profiles across the four shifts were classified into high- and low-level groups; the high-level group had significantly higher depressive feelings, decreased vitality, irritability, and unwillingness to work. Cortisol (two day shifts) and s-IgA (four shifts) profiles were combined, and (i) cortisol low-level and s-IgA high-level and (ii) cortisol high-level and s-IgA low-level groups were identified. The former group had significantly higher chronic fatigue sign and irritability than the latter group. The profiles of salivary cortisol and s-IgA across several shifts were associated with nurses’ chronic fatigue. MDPI 2022-07-28 /pmc/articles/PMC9407778/ /pubmed/36011073 http://dx.doi.org/10.3390/healthcare10081416 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yamaguchi, Shinya Watanabe, Kazuhiro Sugimura, Naotaka Shishido, Inaho Konya, Issei Fujita, Tomoko Yoshimitsu, Yuichi Kato, Shintaro Ito, Yoichi M. Yano, Rika Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title | Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title_full | Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title_fullStr | Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title_full_unstemmed | Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title_short | Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study |
title_sort | salivary biomarker profiles and chronic fatigue among nurses working rotation shifts: an exploratory pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407778/ https://www.ncbi.nlm.nih.gov/pubmed/36011073 http://dx.doi.org/10.3390/healthcare10081416 |
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