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DOI 10.1186/s12888-022-04156-y

Медицинская библиотека · BMC psychiatry · 2022

Comparison of the relative sensitivity of two dimensional personality models to the psychopathological symptoms: the section III DSM-5 maladaptive traits versus affective temperaments.

Komasi Saeid, Hemmati Azad, Rezaei Farzin, Rahmani Khaled, Miettunen Jouko, Amianto Federico, Hopwood Christopher J

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

The Personality Inventory for DSM-5 (PID-5) and Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A) are tools designed for personality dispositions for mental health symptoms. The present study was conducted to compare these models in terms of their relative sensitivity to the symptoms of personality disorders (PDs) and non-personality disorders (NPDs).

METHODS

Subjects in this cross-sectional study were 1232 (805 female; 63.5%) community samples in western Iran. Data were collected using the PID-5, the TEMPS-A, the Symptom Checklist-90 (SCL-90-R), and the Personality Diagnostic Questionnaire (PDQ-4). Correlations and Regression models were used to examine associations between traits and symptoms.

RESULTS

Maladaptive traits assessed by the PID-5 were more strongly associated with PD symptoms, whereas affective temperaments measured by the TEMPS-A were more strongly associated with NPD symptoms.

CONCLUSION

The present findings highlighted the practical utility of both the PID-5 and TEMPS-A indicating risk for psychopathology, but also suggest a distinction between PDs and NPDs in terms of underlying personality dispositions.

Для цитирования: Komasi Saeid, Hemmati Azad, Rezaei Farzin, Rahmani Khaled, Miettunen Jouko, Amianto Federico, Hopwood Christopher J. Comparison of the relative sensitivity of two dimensional personality models to the psychopathological symptoms: the section III DSM-5 maladaptive traits versus affective temperaments.. BMC psychiatry. 2022. DOI: 10.1186/s12888-022-04156-y.

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