Features of cognitive functioning in individuals with affective and depressive disorders by gender and educational level

  • U. A. Kuznetsova Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia) https://orcid.org/0009-0006-6833-6514 turir76@gmail.com
  • A. A. Dubinsky Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia) https://orcid.org/0000-0001-6091-3299 aleksandr-dubinskij@yandex.ru
  • V. G. Bulygina 1) Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia); 2) Moscow State University of Psychology and Education (29 Sretenka str., Moscow, 107045, Russia) https://orcid. org/0000-0001-5584-125 ver210@yandex.ru
Keywords: neurocognitive functions, cognitive functioning, affective disorders, depressive disorders, gender characteristics, educational level

Abstract

Introduction: Depressive and affective disorders significantly affect patients’ quality of life and social adaptation. Furthermore, they are predicted to become the leading cause of disability by 2030. The identified cognitive impairments underscore the importance of studying cognitive functioning while taking into account disease nosology and sociodemographic factors to develop individualized rehabilitation programs. Aim. The aim of this study is to investigate cognitive functioning in individuals with affective and depressive disorders with regard to gender and educational level. Materials and methods. The study included 27 patients with mental disorders: 15 with depressive disorders (53.3% women and 46.7% men; 66.67% with higher education and 33.33% without) and 12 with affective disorders (75% women and 25% men; 66.67% with higher education and 33.33% without). Cognitive functioning was assessed using the Montreal Cognitive Assessment (MoCA), the Frontal Assessment Battery (FAB), and a free association technique. Results. Significant differences in cognitive functioning were identified in patients with affective and depressive disorders based on gender and educational level. Male patients with affective disorders exhibited signs of frontal lobe and frontal-subcortical circuit dysfunction, whereas women demonstrated higher verbal fluency and better performance on attention tests. Among patients with depressive disorders, women outperformed men in visual-constructional skills and were more successful at tasks requiring attention distribution and switching. Furthermore, within the depressive disorder group, the presence of a higher education was associated with more pronounced cognitive decline. Finally, free association analysis in individuals with affective disorders revealed verbal inertia, manifested as slowed mental processes. Conclusion. The study results underscore the necessity of incorporating disease nosology, gender, and educational level into the cognitive assessment of patients with affective and depressive disorders to provide individualized neurocognitive evaluation and rehabilitation.

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Author Biographies

U. A. Kuznetsova , Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia)

Specialist, Applied Psychophysiology Laboratory, Department of Psychoprevention

A. A. Dubinsky , Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia)

Candidate of Psychological Sciences, Senior Researcher, Branch of Health-Saving Technologies, Department of Psychoprevention

V. G. Bulygina , 1) Serbsky National Medical Research Center for Psychiatry and Narcology of the Ministry of Health of the Russian Federation (23 Kropotkinsky Lane, Moscow, 119034, Russia); 2) Moscow State University of Psychology and Education (29 Sretenka str., Moscow, 107045, Russia)

1) Doctor of Psychology, Professor, Head of the Department of Psychoprevention; 2) Professor, Department of Clinical and Forensic Psychology, Faculty of Legal Psychology

References

1. Balabayev D.N., Yermekbay A.D., Shayakhmetova M.K. Prevalence of Depressive Disorders in the Structure of Various Nosological Forms of Mental and Behavioral Disorders. Bulletin of Science = Vestnik nauki. 2020;2(23):136–142. (in Russ.).
2. Baryshnikov I., Sund R., Marttunen M., Diagnostic conversion from unipolar depression to bipolar disorder, schizophrenia, or schizoaffective disorder: A nationwide prospective 15-year register study on 43 495 inpatients. Bipolar disorder. 2020;22(6):582–592. DOI: https://doi.org/10.1111/bdi.12929.
3. Global Burden of Disease (GBD). Seattle: Institute for Health Metrics and Evaluation. 2024. URL: https://www.healthdata.org/research-analysis/gbd-data (accessed: 12.09.2025).
4. Kasyanov E.D., Khoibesh M.A., Verbitskaya E.V., Mazo G.E. Screening for Affective Dis-orders in the Russian Population: Protocol for the Development and Validation of an Electronic Structured Questionnaire. Socialnaya i klinicheskaya psihiatriya = Social and Clinical Psychiatry. 2023;2:17–24. (in Russ.).
5. Kudryavtseva A.A., Strukov E.Yu. Assessment of Cognitive Dysfunctions and Incoming Flow Stress by the Volume of Trauma. Universum: medicina i farmakologiya = Universum: Medicine and Pharmacology. 2024;2(107):30–31. (in Russ.).
6. Palin A.V., Afyan M.V., Kozlov M.Yu., Slyusarev A.S. Features of Cognitive Remediation in Patients with Affective Disorders. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Kor-sakov Journal of Neurology and Psychiatry. 2019;119(9):118–122. (in Russ.). DOI: 10.17116/jnevro2019119091118.
7. Shipkova K.M., Dovzhenko T.V. Neurocognitive correlates of bipolar affective disorder. Rossiiskii psihiatricheskii zhurnal = Russian Psychiatric Journal. 2022;5:30–38. (in Russ.). DOI: 10.47877/1560-957X-2022-10503.
8. Gornushenkov I.D., Kulikova V.S., Pluzhnikov I.V. et al. Features of Cognitive Function Disorders in Bipolar Affective Disorder. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(6):15–19. DOI: 10.17116/jnevro202412406115. (in Russ.).
9. Preobrazhenskaya I.S. Cognitive Disorders and Depression. Medicinskii sovet = Medical Councilium. 2023;17(21):34–43. (in Russ.). DOI: 10.21518/ms2023-246.
10. Chumakov E.M., Petrova N.N., Limankin O.V., Ashenbrenner Yu.V. Cognitive impairments in patients with bipolar affective disorder in remission. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Korsakov Journal of Neurology and Psychiatry. 2021;121(4):12–18. DOI: 10.17116/jnevro202112104112. (in Russ.).
11. Bortolato B., Miskowiak K.W., Köhler C.A. Cognitive remission: a novel objective for the treatment of major depression? BMC Medicine. 2016;14(9). DOI: 10.1186/s12916-016-0560-3
Galkin S. A., Vasilyeva S. N., Simutkin G. G., Ivanova S. A. Executive Function Disorders in Affective Disorders: Differences in Bipolar Affective Disorder and Depressive Episode. Byulleten sibirskoi mediciny = Bulletin of Siberian Medicine. 2022;3:28–33. (in Russ.).
13. Gornushenkov I.D., Barkhatova A.N., Pluzhnikov I.D., Chaika Y.A. Comparative study of cognitive disorders in bipolar affective disorder type I and II. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(3):7–11. (in Russ.). DOI: 10.17116/jnevro20251250317.
14. Polunina A.G., Gudkova A.A., Geht A.B. Depression as a Special Mode of Brain Functioning: Data from Neuroimaging Studies. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Korsakov Journal of Neurology and Psychiatry. 2013;113(1):69–76. (in Russ.).
15. Kindarova A.A., Fantalis D., Preobrazhenskaya I.S. Non-pharmacological Therapy of Cognitive Disorders: Guidelines for Cognitive Training. Medicinskii sovet = Medical Councilium. 2022;11:18–26. DOI: (in Russ.). 10.21518/2079-701X-2022-16-11-18-26.
16. Otto L.K.M., Hofstra J., Mullen M.G. A cognitive remediation training for young adults with psychotic disorders to support their participation in education – study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies. 2020;6(54). DOI: 10.1186/s40814-020-00579-0.
17. Dubois B., Slachevsky A., Litvan I., Pillon B. The FAB: A Frontal Assessment Battery at bedside. Neurology. 2000;55(11):1621–1626. DOI: 10.1212/wnl.55.11.1621
18. Nasreddine Z.S., Phillips N.A., Bédirian V. The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society. 2005;53(4):695–699. DOI: 10.1111/j.1532-5415.2005.53221.
19. Shipkova K.M., Dubinsky A.A. Dynamics of Directed Phonological and Free Oral Verbal Associations in the Process of Speech Rehabilitation in Individuals with Efferent Motor Aphasia in a Simulated Sensory Enriched Environment. Psihologicheskie issledovaniya = Psychological Research. 2023;16(91). (in Russ.). DOI: 10.54359/ps.v16i91.1450.
20. Tarasova I.V., Trubnikova O.A., Sosnina A.S. et al. Gender-specific features of cognitive functions assessed by the MMSE and MoCA scales in patients with coronary artery disease. Rossiiskii kardiologicheskii zhurnal = Russian Journal of Cardiology. 2021;26(2):11–18. (in Russ.). DOI: 10.15829/1560-4071-2021-4194.
21. Vorobyeva O.V., Pilipovich A.A., Nikulina K.V. The Influence of Age and Gender on the Characteristics of Cognitive Impairment in Patients with Cardiovascular Risk Factors. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova = S.S. Korsakov Journal of Neurology and Psychiatry. 2022;122(6):85–92. (in Russ.). DOI: 10.17116/jnevro202212206185.
22. Fotekova T.A., Masalovich Yu.M. The Influence of Age and Education on the State of the Functions of the III Block of the Brain in Middle and Late Adulthood. Mezhdunarodnyi nauchno-issledovatelskii zhurnal = International Research Journal. 2023;2(128):55. (in Russ.). DOI: 10.23670/IRJ.2023.128.55.
23. Zhong T., Li S., Liu P., Chen L. The impact of education and occupation on cognitive impairment: a cross-sectional study in China. Frontiers in Aging Neuroscience. 2024;16. DOI: 10.3389/fnagi.2024.1435626.
24. Rosso G., Porceddu G., Portaluppi C. et al. Exploring cognitive symptoms in patients with unipolar and bipolar major depression: A comparative evaluation of subjective and objective per-formance. Psychiatry Research. 2025;347. DOI: 10.1016/j.psychres.2025.116422.
25. Berezina T.N. Personal Resources as a Factor of Biological Age: An Individual-Typological Approach. Psikholog = Psychologist. 2022;6:12–28. (in Russ.). DOI: 10.25136/2409-8701.2022.6.39260

References on translit

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Published
2026-03-30
How to Cite
Kuznetsova, U., Dubinsky, A., & Bulygina, V. (2026). Features of cognitive functioning in individuals with affective and depressive disorders by gender and educational level. Psychology. Psychophysiology, 19(1), 51-61. https://doi.org/10.14529/jpps260105
Section
Medical (clinical) psychology