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Clinical Cut Scores for the Persian Version of the Personality Inventory for Dsm-5 Publisher Pubmed



Komasi S1 ; Rezaei F2 ; Hemmati A3 ; Nazari A3 ; Nasiri Y1 ; Faridmarandi B1 ; Zakiei A4 ; Saeidi M1 ; Hopwood CJ5
Authors
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Authors Affiliations
  1. 1. Department of Neuroscience and Psychopathology Research, Mind GPS Institute, Kermanshah, Iran
  2. 2. Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Psychology, University of Kurdistan, Sanandaj, Iran
  4. 4. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
  5. 5. Department of Psychology, University of Zurich, Zurich, Switzerland

Source: Journal of Clinical Psychology Published:2024


Abstract

Background: The cut points of psychological tools to diagnose clinical conditions are not universal and depend on the region and prevalence of the disorder. Thus, we aimed to identify the cutoff points of the Persian original version of the personality inventory for DSM-5 (PID-5; 220 items) that would optimally distinguish nonclinical from clinical groups. Methods: Both nonclinical (N = 634, 73% female, 34.0 ± 10.8 years) and clinical (N = 454, 29% female, 29.5 ± 7.4 years) samples from the West of Iran participated in the study. Data were analyzed using receiver operating characteristic (ROC) and Youden's index was used to determine the cutoff scores across the PID-5 domains and facets. The means and standard deviations of both the clinical male and female were compared with the nonclinical group using Cohen's d and independent t-tests. Results: All the PID-5 algorithms and facets significantly distinguished clinical from nonclinical samples with some unique findings for male and female samples. The mean score of all the PID-5 algorithms and facets in the clinical male and female samples were respectively 1.0−2.0 SD and 0.5−1.0 SD above the mean for the nonclinical counterparts. A score higher than 1.5 on ranging from 0 to 3 in each domain or facet indicated clinical status. Conclusion: Raw cutting scores throughout the PID-5 algorithms can be well used to diagnose any pathology of personality and the severity of the disorder in clinical patients. The cut scores provide a useful tool for the clinical use of the original version of PID-5 in Iran. © 2023 Wiley Periodicals LLC.