ArticleClinical practice and epidemiology in mental health : CP & EMH2026
Addressing Stress and Rhythm Dysregulation among Health Workers in the Post-Pandemic Context: An Italian Study and a Proposal for a Preventive Psychoeducational Intervention.
Article in Clinical practice and epidemiology in mental health : CP & EMH, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: During the COVID-19 pandemic, healthcare workers (HCWs) faced intense and prolonged stress. This exposure increased their risk of burnout and mood disorders. The Methods: Ninety-seven HCWs from the University Hospital of Cagliari, Italy, participated in a cross-sectional study. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), and rhythm regulation was evaluated through the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). Data were compared with published findings from mood disorders, psychotic disorders, and community samples. Results: A current depressive episode with PHQ-9 score was identified in 35.1% of HCWs participants, with significantly higher prevalence ( Discussion: The elevated rhythm dysregulation scores observed in healthcare workers support the hypothesis that chronic occupational stress may disrupt biological and social rhythms, potentially increasing vulnerability to mood disorders. Conclusion: HCWs displayed pronounced rhythm dysregulation and high rates of depressive symptoms, highlighting occupational stress as a potential major risk factor and further supporting the DYMERS hypothesis. From both clinical and research perspectives, it could be essential to promote psychoeducational programs that target rhythm regulation, such as adaptations of Interpersonal and Social Rhythm Therapy, which may offer effective preventive strategies to enhance resilience and mental well-being in this population. However, the cross-sectional design, convenience sampling, limited socio-demographic data, and reliance on self-reported measures constrain generalizability and causal inference, underscoring the need for larger longitudinal studies to validate and extend these findings.
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