Toward early detection of burnout: A systematic review of potential biomarkers
Balia, M.; Zenasni, F.; Lepoittevin, M.; Bianchi, R.; Julian, A.; Bodard, S.; Bringer, M.
Show abstract
Burnout Syndrome (BOS), a pervasive occupational phenomenon stemming from unmanaged chronic workplace stress, leading to physical, psychological and cognitive impairment, represents a major challenge for preventive medicine. Indeed, the worldwide increasing incidence of BOS and the importance of its early management points to the unmet need for early BOS diagnosis. Whilst biomarkers of chronic stress have been explored with the description of the allostatic load, BOS lacks a consistent physiological signature, which would contribute to an early and comprehensive identification of persons at risk. This systematic review synthesizes current evidence on BOS-related biomarkers, aiming to identify potential physiological correlates. We conducted a comprehensive search of PubMed and EMBASE, yielding 111 studies evaluating 36 biomarkers in adult populations. Our analysis revealed inconsistent associations across most physiological systems, including the hypothalamic-pituitary-adrenal axis (e.g., cortisol, DHEA), immune system, cardiovascular parameters. While some biomarkers like HbA1c, blood glucose, or comorbidities like irritable bowel syndrome showed more consistent positive correlations with BOS, the overall findings are largely inconclusive. We conclude that the current biological evidence is insufficient for establishing a definitive BOS biosignature for routine clinical diagnosis. Future research should prioritize a more unified and comprehensive definition of BOS, potentially integrating emerging assessment tools to advance the objective identification and early intervention of burnout.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Changes in hospital staff mental health during the Covid-19 pandemic: longitudinal results from the international COPE-CORONA study 94%
- Psychosocial factors associated with mental health and quality of life during the COVID-19 pandemic among low-income urban dwellers in Peninsular Malaysia 93%
- Self-reported health, neuropsychological tests and biomarkers in fully recovered COVID-19 patients vs patients with post-COVID cognitive symptoms: a pilot study 93%
Similar papers in this journal
- A Pattern-Based Heart Rate Variability Approach in Somatic Symptom Disorder: Evidence from the SOMA.SSD Study 91%
- Does symptom perception after negative affect induction differ between physically ill and healthy individuals? An experimental study within SOMA.CK 90%
- Who is at risk of poor mental health following COVID-19 outpatient management? 89%
Similar papers in this journal
- Symptoms persisting after hospitalization for COVID-19: 12 months interim results of the COFLOW study 89%
- Anxiety disorders and asthma among adolescents in urban Uganda: the role of early life exposures 89%
- Limited recovery from post-acute sequelae of SARS-CoV-2 (PASC) at eight months in a prospective cohort 88%
Similar papers in this journal
- A Physiometric Investigation of Inflammatory Composites: Comparison of A Priori Aggregates, Empirically-identified Factors, and Individual Proteins 92%
- Immune Cell Exhaustion and Apoptotic Markers in Major Depressive Disorder: Effects of in Vitro Cannabidiol Administration 91%
- Inflammatory profiles of transdiagnostic symptom dimensions in healthy females 91%
Similar papers in this journal
- Biopsychosocial response to the COVID-19 lockdown in people with major depressive disorder and multiple sclerosis 93%
- Chronic fatigue, depression and anxiety symptoms in Long COVID are strongly predicted by neuroimmune and neuro-oxidative pathways which are caused by the inflammation during acute infection 92%
- Exploring the Association Between Urinary Incontinence and Depression Based on a Series of Large-Scale National Health Studies in Turkiye 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.