Cargando…
Sleep and biological parameters in professional burnout: A psychophysiological characterization
Professional burnout syndrome has been described in association with insomnia and metabolic, inflammatory and immune correlates. We investigated the interest of exploring biological parameters and sleep disturbances in relation to burnout symptoms among white-collar workers. Fifty-four participants...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791983/ https://www.ncbi.nlm.nih.gov/pubmed/29385150 http://dx.doi.org/10.1371/journal.pone.0190607 |
_version_ | 1783296688008462336 |
---|---|
author | Metlaine, Arnaud Sauvet, Fabien Gomez-Merino, Danielle Boucher, Thierry Elbaz, Maxime Delafosse, Jean Yves Leger, Damien Chennaoui, Mounir |
author_facet | Metlaine, Arnaud Sauvet, Fabien Gomez-Merino, Danielle Boucher, Thierry Elbaz, Maxime Delafosse, Jean Yves Leger, Damien Chennaoui, Mounir |
author_sort | Metlaine, Arnaud |
collection | PubMed |
description | Professional burnout syndrome has been described in association with insomnia and metabolic, inflammatory and immune correlates. We investigated the interest of exploring biological parameters and sleep disturbances in relation to burnout symptoms among white-collar workers. Fifty-four participants with burnout were compared to 86 healthy control participants in terms of professional rank level, sleep, job strain (Karasek questionnaire), social support, anxiety and depression (HAD scale). Fasting concentrations of glycaemia, glycosylated hemoglobin (HbA1C), total-cholesterol, triglycerides, C-reactive protein (CRP), thyroid stimulating hormone (TSH), 25-hydroxyvitamin D (25[OH]D), and white blood cell (WBC) counts were assessed. Analysis of variance and a forward Stepwise Multiple Logistic Regression were made to identify predictive factors of burnout. Besides reporting more job strain (in particular job control p = 0.02), higher levels of anxiety (p<0.001), and sleep disorders related to insomnia (OR = 21.5, 95%CI = 8.8–52.3), participants with burnout presented higher levels of HbA1C, glycaemia, CRP, lower levels of 25(OH)D, higher number of leukocytes, neutrophils and monocytes (P<0.001 for all) and higher total-cholesterol (P = 0.01). In particular, when HbA1c is > 3.5%, the prevalence of burnout increases from 16.6% to 60.0% (OR = 4.3, 95%CI = 2.8–6.9). Strong significant positive correlation existed between HbA1C and the two dimensions (emotional exhaustion and depersonalization (r = 0.79 and r = 0.71, p<0.01)) of burnout. Models including job strain, job satisfaction, anxiety and insomnia did not predict burnout (p = 0.30 and p = 0.50). However, when HbA1C levels is included, the prediction of burnout became significant (P = 0.03). Our findings demonstrated the interest of sleep and biological parameters, in particular HbA1C levels, in the characterization of professional burnout. |
format | Online Article Text |
id | pubmed-5791983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57919832018-02-09 Sleep and biological parameters in professional burnout: A psychophysiological characterization Metlaine, Arnaud Sauvet, Fabien Gomez-Merino, Danielle Boucher, Thierry Elbaz, Maxime Delafosse, Jean Yves Leger, Damien Chennaoui, Mounir PLoS One Research Article Professional burnout syndrome has been described in association with insomnia and metabolic, inflammatory and immune correlates. We investigated the interest of exploring biological parameters and sleep disturbances in relation to burnout symptoms among white-collar workers. Fifty-four participants with burnout were compared to 86 healthy control participants in terms of professional rank level, sleep, job strain (Karasek questionnaire), social support, anxiety and depression (HAD scale). Fasting concentrations of glycaemia, glycosylated hemoglobin (HbA1C), total-cholesterol, triglycerides, C-reactive protein (CRP), thyroid stimulating hormone (TSH), 25-hydroxyvitamin D (25[OH]D), and white blood cell (WBC) counts were assessed. Analysis of variance and a forward Stepwise Multiple Logistic Regression were made to identify predictive factors of burnout. Besides reporting more job strain (in particular job control p = 0.02), higher levels of anxiety (p<0.001), and sleep disorders related to insomnia (OR = 21.5, 95%CI = 8.8–52.3), participants with burnout presented higher levels of HbA1C, glycaemia, CRP, lower levels of 25(OH)D, higher number of leukocytes, neutrophils and monocytes (P<0.001 for all) and higher total-cholesterol (P = 0.01). In particular, when HbA1c is > 3.5%, the prevalence of burnout increases from 16.6% to 60.0% (OR = 4.3, 95%CI = 2.8–6.9). Strong significant positive correlation existed between HbA1C and the two dimensions (emotional exhaustion and depersonalization (r = 0.79 and r = 0.71, p<0.01)) of burnout. Models including job strain, job satisfaction, anxiety and insomnia did not predict burnout (p = 0.30 and p = 0.50). However, when HbA1C levels is included, the prediction of burnout became significant (P = 0.03). Our findings demonstrated the interest of sleep and biological parameters, in particular HbA1C levels, in the characterization of professional burnout. Public Library of Science 2018-01-31 /pmc/articles/PMC5791983/ /pubmed/29385150 http://dx.doi.org/10.1371/journal.pone.0190607 Text en © 2018 Metlaine et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Metlaine, Arnaud Sauvet, Fabien Gomez-Merino, Danielle Boucher, Thierry Elbaz, Maxime Delafosse, Jean Yves Leger, Damien Chennaoui, Mounir Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title | Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title_full | Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title_fullStr | Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title_full_unstemmed | Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title_short | Sleep and biological parameters in professional burnout: A psychophysiological characterization |
title_sort | sleep and biological parameters in professional burnout: a psychophysiological characterization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791983/ https://www.ncbi.nlm.nih.gov/pubmed/29385150 http://dx.doi.org/10.1371/journal.pone.0190607 |
work_keys_str_mv | AT metlainearnaud sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT sauvetfabien sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT gomezmerinodanielle sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT boucherthierry sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT elbazmaxime sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT delafossejeanyves sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT legerdamien sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization AT chennaouimounir sleepandbiologicalparametersinprofessionalburnoutapsychophysiologicalcharacterization |