Evidence map›Paper›PMID 40182196›Full record

ArticleFrontiers in psychiatry2025

Classification of intrusive thought patterns based on differences in the mechanisms of occurrence and persistence.

Saki Hinuma, Hiroyoshi Ogishima, Hironori Shimada, Yuki Tanaka, Masumi Osao, Chihiro Moriishi, Shugo Obata

Abstract read
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Article in Frontiers in psychiatry, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Saki HinumaDepartment of Clinical Psychology, Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Tokyo, Japan.
Hiroyoshi OgishimaDivision of Information Science, Nara Institute of Science and Technology, Nara, Japan.
Hironori ShimadaFaculty of Human Sciences, Waseda University, Saitama, Japan.
Yuki TanakaFaculty of Humanities, Wayo Women's University, Chiba, Japan.
Masumi OsaoYoyogi Sleep Disorder Center, Tokyo, Japan.
Chihiro MoriishiHuman Informatics and Interaction Research Institute, The National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan.
Shugo ObataDepartment of Clinical Psychology, International University of Health and Welfare, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Intrusive thoughts occurring independently of intention are symptoms of obsessive-compulsive disorders (OCD). However, they also appear in various other disorders, including substance use disorders, depression, post-traumatic stress disorder, and anxiety disorders, as well as in healthy individuals. Despite this, the diversity of intrusive thoughts remains largely unexplored. In this study, we aimed to (1) classify the factors causing intrusive thoughts as identified in previous research and (2) elucidate differences in the psychological states of intrusive thoughts. Methods: We investigated 298 participants over 20 years old using a questionnaire that includes scales such as "obsessive-compulsive belief," "stress responses," "thought suppression," and "evaluation of intrusive thoughts." To analyze data, we applied co-clustering, a machine-learning technique, to the data obtained from the investigation. Results: We identified three factors that affect the occurrence of intrusive thoughts: "Negative Evaluation of Intrusive Thoughts," "Stress Responses," and "Excessive Control of Intrusive Thoughts." Furthermore, based on the scoring patterns of these three factors, participants were classified into five subtypes characterized by their degree of OCD tendencies. Further analysis revealed that the three factors could not be explained by OCD tendencies. Additionally, it was found that the five subtypes employed different coping strategies. Discussion: These findings suggest that intrusive thoughts cannot be fully explained solely by the degree of OCD tendencies, which could provide valuable insights into cognitive-behavioral support targeting the various psychological states associated with intrusive thoughts.

Indexed as

co-clusteringcognitive behavioral theorycoping strategyintrusive thoughtsobsessive-compulsive disorder (OCD)

Identifiers

PMID40182196
PMCPMC11967193

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