Sleep and biological parameters in professional burnout: A psychophysiological characterization
Arnaud Metlaine,
Fabien Sauvet,
Danielle Gomez-Merino,
Thierry Boucher,
Maxime Elbaz,
Jean Yves Delafosse,
Damien Leger and
Mounir Chennaoui
PLOS ONE, 2018, vol. 13, issue 1, 1-15
Abstract:
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 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
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190607 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 90607&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0190607
DOI: 10.1371/journal.pone.0190607
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().