ArticleFrontiers in psychiatry2024
When you avoid your feelings, you may feel even worse: how depersonalization puts you at risk of depression.
Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Depersonalization and depressive symptoms in two online samples: development and initial validation of a short Depersonalization Mechanism Scale.Frontiers in psychiatry · 2026Article
- Exploring the relationship between burnout and mental health among village doctors: a study from Xun County, Henan Province.Frontiers in public health · 2026Article
- Exploring the mediating effect of burnout between fear of COVID-19, job-related stress and turnover intention among elderly care workers.BMC health services research · 2025Observational
- Health-related quality of life related to diabetes multisensory deficits and derealization.Scientific reports · 2025Article
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Authors and funding
2 authors.
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Abstract
Background: The clinical form of depersonalization affects approximately 1%-2% of the adult population. This study aimed to describe the symptoms of depersonalization in a non-clinical sample and to operationalize depersonalization as a regulatory mechanism. This article introduces the Depersonalization Mechanism Scale, 41-item measure developed to assess one's tendency for depersonalization in response to overstimulation. The aim of the study is to explore how depersonalization mechanism is associated with cognitive and behavioral emotion regulation strategies, depression, and anxiety. Method: The study included a sample of 300 Polish adults (149 men) from the general population, ranging in age from 18 to 60. Participants were administered the following questionnaires: Depersonalization Mechanism Scale (DMS), Behavioral Emotion Regulation Questionnaire (BERQ), Cognitive Emotion Regulation Questionnaire (CERQ), Occupational Depression Inventory (ODI), Patient Health Questionnaire (PHQ), and Trait Anxiety Scale (SL-C). Results: An exploratory factor analysis revealed a two-factor structure of Depersonalization Mechanism Scale, with very high reliability coefficients for both subscales and full scale. A regression analysis revealed that depersonalization mechanism is a significant predictor of depressive symptoms. Depersonalization mechanism is strongly correlated with maladaptive regulation strategies such as withdrawal, ignoring, rumination, catastrophizing, self-blame, and blaming others. Weaker but significant connections were identified with certain adaptive strategies: acceptance, positive refocusing, putting into perspective, and seeking social support. Women were more prone to depersonalization than men. Conclusions: Further research on depersonalization in non-clinical samples may improve understanding of this mechanism in the general population. This knowledge, combined with greater education about non-clinical forms of depersonalization, may support preventive programs against depression and professional assistance for people facing acute or chronic stressful life events.
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