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Perfectionism, depression, anxiety, and stress in psychiatry and neurology residents

https://doi.org/10.25016/2782-652X-2023-0-88-05-13

Abstract

The relevance of the study is determined by the significance of the issue of preserving the psychological well-being of young doctors. The paper presents the results of a study of depression, anxiety, stress and multidimensional perfectionism in psychiatry and neurology residents.

Materials and Methods. First and second year psychiatry and neurology residents (N = 100) aged 22-29 (М = 25; SD = 1,3) filled out a questionnaire including sociodemographic data and the following validated instruments: «Depression, Anxiety, and Stress Scales-21, DASS-21» (Lovibond & Lovibond) and «Three-Factor Perfectionism Inventory» (Garanyan et al.). The sample was divided into three groups with high (n = 37), medium (n = 33) and low (n = 30) levels of perfectionism.

Results. The results suggest that residents with higher level of perfectionism have higher levels of depression, anxiety and stress (p < 0,001). Significant positive associations between depression, anxiety, stress and general level of perfectionism, socially prescribed perfectionism and perfectionistic cognitive style were observed (p < 0,01).

About the Authors

I. A. Gorkovaya
St. Petersburg State Pediatric Medical University
Russian Federation

Irina Alekseevna Gorkovaya – Dr. Psychol. Sci., Professor, Head of Department of Psychosomatics and Psychotherapy, 

2, Litovskaya Str., St. Petersburg, 194100.



M. V. Biletskaya
St. Petersburg State Pediatric Medical University
Russian Federation

Mariya Viktorovna Biletskaya– Сlinical Psychologist, PhD Student, Department of Psychosomatics and Psychotherapy, 

2, Litovskaya Str., St. Petersburg, 194100.



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Review

For citations:


Gorkovaya I.A., Biletskaya M.V. Perfectionism, depression, anxiety, and stress in psychiatry and neurology residents. Bulletin of psychotherapy. 2023;(88):5-13. (In Russ.) https://doi.org/10.25016/2782-652X-2023-0-88-05-13

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ISSN 0132-182X (Print)
ISSN 2782-652X (Online)