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Sleep and biological parameters in professional burnout: A psychophysiological characterization.

Arnaud Metlaine, Fabien Sauvet, Danielle Gomez-Merino, Thierry Boucher, Maxime Elbaz et al.
Other PloS one 2018 69 цитирований

Дизайн исследования

Тип исследования
Observational Study
Размер выборки
140
Популяция
54 white-collar workers with professional burnout compared to 86 healthy controls
Вмешательство
Sleep and biological parameters in professional burnout: A psychophysiological characterization.
Препарат сравнения
86 healthy control participants
Первичный исход
Biological parameters (HbA1c, glycaemia, CRP, vitamin D, WBC counts, cholesterol) and sleep disturbances (insomnia) associated with professional burnout
Направление эффекта
Positive
Риск систематической ошибки
Moderate

Аннотация

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.

Кратко

The findings demonstrated the interest of sleep and biological parameters, in particular HbA1C levels, in the characterization of professional burnout in white-collar workers.

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