Artikel ; Online: Structural brain correlates of burnout severity in medical professionals: A voxel-based morphometric study.
2022 Band 772, Seite(n) 136484
Abstract: Occupational burnout has become a pervasive problem, especially among medical professionals who are highly vulnerable to burnout. Since the beginning of the COVID-19 pandemic, medical professionals have faced greater levels of stress. It is critical to ... ...
Abstract | Occupational burnout has become a pervasive problem, especially among medical professionals who are highly vulnerable to burnout. Since the beginning of the COVID-19 pandemic, medical professionals have faced greater levels of stress. It is critical to increase our understanding of the neurobiological mechanisms of burnout among medical professionals for the benefit of healthcare systems. Therefore, in this study, we investigated structural brain correlates of burnout severity in medical professionals using a voxel-based morphometric technique. Nurses in active service underwent structural magnetic resonance imaging. Two core dimensions of burnout, namely, emotional exhaustion and depersonalization, were assessed using self-reported psychological questionnaires. Levels of emotional exhaustion were found to be negatively correlated with gray matter (GM) volumes in the bilateral ventromedial prefrontal cortex (vmPFC) and left insula. Moreover, levels of depersonalization were negatively correlated with GM volumes in the left vmPFC and left thalamus. Altogether, these findings contribute to a better understanding of the neural mechanisms of burnout and may provide helpful insights for developing effective interventions for medical professionals. |
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Mesh-Begriff(e) | Adult ; Brain/diagnostic imaging ; Burnout, Professional/diagnostic imaging ; COVID-19 ; Cerebral Cortex/diagnostic imaging ; Depersonalization ; Emotions ; Female ; Gray Matter/diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Neuropsychological Tests ; Nurses ; Pandemics ; Prefrontal Cortex/diagnostic imaging ; Self Report ; Surveys and Questionnaires ; Thalamus/diagnostic imaging ; Young Adult |
Sprache | Englisch |
Erscheinungsdatum | 2022-01-30 |
Erscheinungsland | Ireland |
Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 194929-9 |
ISSN | 1872-7972 ; 0304-3940 |
ISSN (online) | 1872-7972 |
ISSN | 0304-3940 |
DOI | 10.1016/j.neulet.2022.136484 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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