Introduction. A sad sign of today is the tendency to turn depressive disorders into a marker of modern society, the spread of which is steadily growing. Depression makes it difficult to meet basic human needs and negatively affects their daily life, leading to a significant reduction in quality of life and the formation of psychosocial maladjustment (PM), the development and progression of which is influenced by social factors of macro-, meso- and microsocial levels. Of course, such effects of these factors are not the same, and the question of identifying the interaction of maladaptation in the structure of depression, and PM macro-, meso- and microsocial levels have not yet found a final solution, which makes it impossible to develop personalized approaches to treatment and rehabilitation of these patients.
Goal. The goal was to develop technology for multilevel prognostic assessment of psychosocial maladaptation in women with depressive disorders, aimed at early detection of the contingent with potentially high levels of maladjustment, as a basis for the personification of treatment and rehabilitation, approaches in their comprehensive treatment.
Materials and methods. To achieve this goal, 252 women with depressive disorders were surveyed: 94 people with psychogenic, 83 women with endogenous and 75 patients with organic depression. 48 women had no signs of PD, the other 204 showed manifestations of macro-, meso- and microsocial maladaptation of varying severity. The study was conducted using clinical-psychopathological and psychodiagnostic methods.
Results and conclusions. The study proposed a new technology in the form of a scale for estimating the probable degree of macro-, meso- and microsocial maladaptation based on the analysis of the severity of disorders of the depressive, anxiety and obsessive-phobic spectrum - easy to use and suitable for use in health care. I to conduct screening studies to identify early the contingent with potentially high levels of maladaptation, which will allow for the appropriate personification of psychocorrectional and rehabilitation interventions in their comprehensive treatment.
Full-text of the article is available for this locale: Українська.
- Voloshyn P, Maruta N. The main directions for scientifi c developments in the fi elds of neurology, psychiatry and narcology in Ukraine. Ukrains'kyi Visnyk Psykhonevrolohii. 2017;25(1):10-8. URL: https://uvnpn.com.ua/upload/iblock/834/8348a722ce7101d7ac9396a62ddd3cc2.pdf
- Chaban OS, Khaustova OO. Depression: understanding, treatment today and tomorrow. International Psychiatric, Psychotherapeutic and Psychoanalytic Journal. 2012;6(2):20–6.
- Naprijenko OK. Non-circular depressions (monograph). Кyiv: Sofiia-A; 2013.
- Markova MV. Depressive Disorders in the Primary Health Care Network: From the "diagnostic invisibility" to the arena of general medical practice. Medix AntiAging. 2009;5:18- 22. URL: http://www.health-medix.com/articles/anti_aging/2009-11-01/03_DEPRESYVNI_ROZLADY_V_MEREZHI.pdf
- Rakhman LV. State and structure of social functioning in patients with treatment-resistant depression. Fundamental and applied researches in practice of leading scientific schools. 2015;5(11):110–21.
- Maruta NA. Social recovery is the primary goal of depression therapy. Nejronews. 2013;8(53):16–20. URL: https://neuronews.com.ua/uploads/issues/2013/8(53)/6537883430.pdf
- Herasymenko LO. Psychosocial maladjustment (modern conceptual models). Ukrains'kyi Visnyk Psykhonevrolohii. 2018;26(1):62–5. URL: https://uvnpn.com.ua/upload/iblock/b7a/b7ad05a3807f46310917057e59ac99a8.pdf
- Gaponov KD. Modeling and prognostication of psychosocial maladaptation in patients with disorders due to alcohol consumption, depending on the severity of addictive and affective symptoms and stress levels. Norwegian Journal of development of the International Science. 2019;28(1):7–12. URL: http://nor-ijournal.com/wp-content/uploads/2020/09/NJD_28_1.pdf
- Genkyn AA. New information technology for medical data analysis. Saint Petersburg: Politechnika; 1999.
- Emanuel VL, Genkyn AA. Computerization of laboratory research - the way of development of laboratory medicine . Clin Lab Diagnostics. 1997;5:34.
- Medic VA, Fishman BB, Tokmachev MS. Manual of statistics in medicine and biology. Moscow: Medicina; 2001.
- Pleskun VY, Voronyna ED. Theoretical foundations of the organization and analysis of sample data in the experiment Saint Petersburg: Leningrad University Publishing House; 1979.
- Hlants S. Biomedical statistics. Moscow: Practika; 1999.
- Dubrov AM Mkhytarian VS Hroshyn LY. Multivariate statistical methods. Moscow: Finances and statistics; 1998.
- Rebrova OV. Statistical analysis of medical data. Moscow: Medija Sfera; 2002.
- Isakov RI. Comparative analysis of psychosocial disadaptation and efficient symptomatics in women with depressive disorders of different geneses Ukrains'kyi Visnyk Psykhonevrolohii. 2018;26(3):20–6. URL: https://uvnpn.com.ua/upload/iblock/f9f/f9f2afd663ba43bca68f27c8e1758d7f.pdf
- Isakov RI. Psychosocial dezadaptation in women with depressive disorders of different genesis: peculiarities of diagnostics, diseases and structure. Psychiatry, Neurology and Medical Psychology. 2018;9:82–92. DOI: https://doi.org/10.26565/2312-5675-2018-9-12