To Be or Not to Be—That Is the Obsession: The Nature and Treatment of Existential Obsessions and a Call for Research.
Published In: Journal of Cognitive Psychotherapy, 2026, v. 40, n. 1. P. 78 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Abramowitz, Jonathan S.; Juel, Emily K.; Inozu, Mujgan; Friedman, Joseph B.; Myers, Nicholas S. 3 of 3
Abstract
Existential obsessions—persistent, intrusive doubts about unanswerable questions such as the nature of reality, identity, free will, and death—are an understudied and underrecognized presentation of obsessive–compulsive disorder (OCD). Although these symptoms align with core OCD features, their abstract and philosophical content distinguishes them from more commonly studied presentations. This article provides a conceptualization of existential obsessions, outlining their phenomenology, cognitive-behavioral underpinnings, and implications for assessment and treatment. We identify four primary content domains, namely, metaphysical, thanatological, ontological, and deterministic obsessions, and draw on established OCD models to explain their development and maintenance. Sociocultural and developmental influences are also highlighted. We then outline treatment recommendations based on the conceptual model and present a research agenda to address gaps in the literature, including the need for targeted assessment tools, empirical tests of proposed mechanisms, and treatment trials. Just as other manifestations of OCD have gained clarity through empirical study, existential obsessions merit scientific attention to enhance recognition and improve outcomes. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Cognitive Psychotherapy. 2026/02, Vol. 40, Issue 1, p78
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2026
- ISSN:0889-8391
- DOI:10.1891/JCP-2025-0014
- Accession Number:191841559
- Copyright Statement:Copyright of Journal of Cognitive Psychotherapy is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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