Predicting Obsessive–Compulsive Symptom Severity Using Models of Cognitive Inhibition and Perfectionism Dimensions

Authors

    Rachel Odunlami Department of Psychology, Behavioural Science Building, York University, Toronto, ON, Canada
    Matthew Crawford-Flett Department of Psychology, University of British Columbia, 2136 West Mall Vancouver, BC, V6T 1Z4 Canada
    George Greenfield Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States
    Lucia Galisova * Department of Psychology, University of British Columbia, 2136 West Mall Vancouver, BC, V6T 1Z4 Canada lucia-galisova@ubc.ca

Keywords:

Obsessive-Compulsive Disorder, Cognitive Inhibition, Perfectionism, Thought Suppression, Response Inhibition

Abstract

Objective: The objective of the present study was to determine the unique and incremental value of cognitive inhibition models and perfectionism dimensions in predicting obsessive-compulsive symptom severity. Methods and Materials: This study utilized a cross-sectional, correlational design with a community sample of 435 adults from Canada (mean age = 28.4years; 64%female). Participants completed a battery of measures including the Obsessive-Compulsive Inventory-Revised (OCI-R) to assess symptom severity, and the Hewitt and Flett Multidimensional Perfectionism Scale to evaluate self-oriented, other-oriented, and socially prescribed perfectionism. Cognitive inhibition was assessed using both subjective and objective measures: the White Bear Suppression Inventory (WBSI) for thought suppression, and a computerized Stop-Signal Task (SST) yielding a Stop-Signal Reaction Time (SSRT) for behavioral response inhibition. Data were analyzed using a three-step hierarchical multiple regression. Findings: The final hierarchical regression model accounted for 48.5%of the total variance in obsessive-compulsive symptom severity. Demographic variables (Step 1) explained 4.2%of the variance. The addition of cognitive inhibition measures (Step 2) significantly explained an additional 35.8%of the variance (ΔR^2=0.358). Finally, perfectionism dimensions (Step 3) contributed an incremental 8.5%(ΔR^2=0.085). In the final comprehensive model, significant positive predictors of obsessive-compulsive severity included subjective thought suppression (β=0.32, p<0.001), socially prescribed perfectionism (β=0.24, p<0.001), objective SSRT (β=0.15, p<0.01), and self-oriented perfectionism (β=0.14, p<0.01). Age was a significant negative predictor (β=-0.09, p<0.05), while gender and other-oriented perfectionism were not significant in the final model. Conclusion: Obsessive-compulsive symptom severity is robustly predicted by a pathological synergy between extreme perfectionistic standards and fundamental neurocognitive deficits in behavioral and cognitive inhibitory control.

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References

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Published

2026-04-01

Submitted

2025-12-23

Revised

2026-03-13

Accepted

2026-03-17

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Section

Articles

How to Cite

Odunlami , R. ., Crawford-Flett , M. ., Greenfield , G. ., & Galisova, L. . (2026). Predicting Obsessive–Compulsive Symptom Severity Using Models of Cognitive Inhibition and Perfectionism Dimensions. Journal of Assessment and Research in Applied Counseling (JARAC), 1-11. https://journals.kmanpub.com/index.php/jarac/article/view/5198