Predicting Symptoms of Obsessive-Compulsive Disorder Based on Cognitive Beliefs and Mindfulness in a Non-clinical Population

Rozna Asgharnezhad; Marziyeh Alivandi Vafa; Reza Abdi

doi:10.61838/kman.jarac.5.2.13

Authors

Rozna Asgharnezhad Department of Psychology, Tabriz Branch, Islamic Azad University, Tabriz, Iran. Author https://orcid.org/0000-0001-5218-5316
Marziyeh Alivandi Vafa Department of Psychology, Tabriz Branch, Islamic Azad University, Tabriz, Iran. Author https://orcid.org/0000-0002-1197-9598
Reza Abdi Department of Psychology, Faculty of Educational Sciences and Psychology, Shahid Madani University of Azarbaijan Tabriz, Iran. Author https://orcid.org/0000-0002-7121-2516

DOI:

https://doi.org/10.61838/kman.jarac.5.2.13

Abstract

Objective: Obsessive-compulsive disorder (OCD) is one of the most common, controversial, and challenging disorders among the various psychological disorders. This research aimed to predict symptoms of OCD based on cognitive beliefs and mindfulness in a non-clinical population.

Materials and Methods: The research design was descriptive-correlational. The statistical population comprised all students from universities in the city of Tabriz. A sample of 500 individuals was selected through convenience sampling. Research tools included the Revised Obsessive-Compulsive Questionnaire, Mindfulness Scale, and Obsessive Beliefs Questionnaire. Pearson correlation coefficient and multiple regression were used to analyze the research hypotheses. Data analysis was performed using SPSS software, version 25.

Findings: Statistical analysis results showed that the combination of cognitive beliefs and mindfulness could predict symptoms of washing, obsessive symptoms, hoarding symptoms, ordering symptoms, checking symptoms, and neutralizing symptoms of OCD (p < 0.05).

Conclusion: Based on the results, it can be inferred that professionals can utilize the potential of the variables studied in the areas of diagnosis and clinical interventions for OCD.