Serheta I. V., Bratkova O. Yu., Serebrennikova O. А., Redchits M. A., Ocheredko O. M.
HYGIENIC BASES OF PROGNOSTIC ASSESSMENT OF PROFESSIONAL ADAPTATION AND STATE OF HEALTH OF STUDENTS MASTERING MEDICAL SPECIALTIES, BASED ON THE USE OF STATISTICAL MODELS
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About the author:
Serheta I. V., Bratkova O. Yu., Serebrennikova O. А., Redchits M. A., Ocheredko O. M.
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HYGIENE, ECOLOGY AND EPIDEMIOLOGY
Type of article:
Scientific article
Annotation:
Currently, among the priority problems of preventive medicine, one of the most important places, undeniably, belongs to the issue of preserving and strengthening health, as well as increasing the level of professional adaptation of student youth who master certain specialties, including those who acquire a medical profession. The purpose of the scientific work was to justify the hygienic bases of effective prognostic assessment of professional adaptation and health status of students who master basic medical specialties based on statistical models. The results obtained during the use of correlation analysis procedures made it possible to reveal a set of indicators of psychophysiological functions, personality characteristics, health status, academic success, characteristics of living conditions and lifestyle, which were marked by the presence of a clear interdependence and even a deep affinity with the criterion characteristics of the level of success in professional training girls and boys studying medicine. The most indicative in this context and, even more importantly, the most significant from a professionally significant point of view should be considered the patterns of relationships established at the final stage of the student's stay at a medical institution of higher education. At this time, attention was drawn to the strict correlation of academic success in both clinicallyoriented disciplines and general education subjects and criterion indicators of health status, non-specific reactivity, development of psychophysiological functions, personality traits, lifestyle traits, etc. Data from cluster analysis procedures made it possible to establish a sufficiently stable structure of the spatial classification of the studied objects during the study period at a medical institution of higher education. Thus, among the girls, several clusters stable in terms of internal structural characteristics should be noted, namely: integral-adaptive personal-oriented, integral-adaptive environmental-oriented, micro-social-hygienic, anxiety-characteristic, temperamentological, psychophysiological and speed-coordinating clusters, among young men – integral-adaptive personal-oriented, integral-adaptive environmental-oriented, microsocial-hygienic, microsocial-psychophysiological, anxiety-characteristic, temperamentological, spatial-coordination, speed-coordination and motivational-self-evaluation clusters.
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Bibliography:
- Makarov SYu, Stoyan NV, Serheta IV, Taran OA, Dyakova OV. Peculiarities of the interaction of the indicators of psychophysiological adaptation of modern students in the context of the effective monitoring of individual health of young women and young men. Wiadomości Lekarskie. 2019;LXXII.5(II):1053-1058.
- Moroz VM, Makarov SYu, Serebrennikova OA, Serheta IV. Navchalnyi stres ta psykhofiziolohichni kryterii otsinky adaptatsiinykh mozhlyvostei orhanizmu studentiv zakladiv vyshchoi medychnoi osvity. Vinnytsya: TOV “TVORY”; 2020. 184 s. [in Ukrainian].
- Moroz VM, Serebrennikova OA, Serheta IV, Stoyan NV. Psy`xofiziologichni ta psy’xogigiyenichni osnovy’ efekty’vnogo vy’kory’stannya zdorov’yazberigayuchy`x texnologij u zakladax vy’shhoyi osvity. Vinnytsya: TOV “TVORY”; 2020. 208 s. [in Ukrainian].
- Serheta IV, Panchuk OY, Stoyan NV, Drezhenkova ІL, Makarov SYu. Universitetska gigiena u konteksti implementatsiyi “Zakonu pro vischu osvItu”: fIzіologo-gigienichni osnovi, realiyi ta shlyahi rozvitku. Dovkillya ta zdorov’ya. 2016;4(80):46-52. DOI: https://doi.org/10.32402/ dovkil2016. 04.046. [in Ukrainian].
- Serheta IV, Bratkova OYu, Serebrennikova OA. Naukove obgruntuvannya gigiyenichnih principiv profilaktiki rozvitku donozologichnih zrushen u stani psihichnogo zdorov’ya uchniv suchasnih zakladiv serednoyi osviti (oglyad literaturi i vlasnih doslidzhen) Zhurnal NAMN Ukrayini. 2022;19(1):306-326. DOI: http://doi.org/10/37621|JNAMSU-2022-1-2. [in Ukrainian].
- Serheta IV, Serebrennikova OA, Stoyan NV, Drezhenkova IL, Makarova OI. Psihogigiyenichni prinpipi vikoristannya zdorov’yazberigayuchih tehnologij u suchasnih zakladah vishoyi osviti. Dovkillya ta zdorov’ya. 2022;2(103):32-41. DOI: https://doi.org/10.32402/dovkil2022.02.032. [in Ukrainian].
- Serheta IV, Bardov VH, Drezhenkova ІL, Panchuk OYu. Hihiienichni normatyvy rukhovoi aktyvnosti studentiv zakladiv vyshchoi medychnoi osvity ta shliakhy yii optymizatsii. Vinnytsya: TOV “TVORY”; 2020. 184 s. [in Ukrainian].
- Serheta IV, Panchuk OYu, Yavorovskyi OP. Hygienic diagnostics of professional suitability of students of medical education institutions (on the example of dental specialties). Vinnytsya: TOV “TVORY”; 2020. 348 s. [in Ukrainian].
- Tymoshchuk OV, Polka NS, Serheta IV. Naukovi osnovy kompleksnoi hihiienichnoi otsinky yakosti zhyttia ta adaptatsiinykh mozhlyvostei suchasnoi uchnivskoi i studentskoi molodi. Vinnytsya: TOV “TVORY”; 2020. 272 s. [in Ukrainian].
- Hrynzovskyi AM, Bielai SV, Kernickyi AM, Pasichnik VI, Vasischev VS, Minko AV. Medical, social and psychological aspects of assisting the families of the military personnel of ukraine who performed combat tasks in extreme conditions. Wiadomosci lekarskie. 2022;75(1(2)):310- 318. DOI: http://doi.org/10.36740/WLek202201228.
- Antomonov MYu. Matematicheskaya obrabotka i analiz mediko-biologicheskih dannyah. 2-e izd. Kiyiv: MIC “Medinform”; 2018. 579 s. [in Ukrainian].
- Ierina AM. Statystychne modeliuvannia ta prohnozuvannia. K.: KNEU; 2001. 170 s. [in Ukrainian].
- Jin S, Yang-Wallentin F. Asymptotic Robustness Study of the Polychoric Correlation Estimation. Psychometrika. 2017;82(1):67-85. DOI: http://dx.doi.org/10.1007/s11336-016-9512-2.
- Kim N, Fischer AH, Dyring-Andersen B, Rosner B, Okoye GA. Research Techniques Made Simple: Choosing Appropriate Statistical Methods for Clinical Research. J Invest Dermatol. 2017;137(10):e173-8. DOI: http://dx.doi.org/10.1016/j.jid.2017.08.007.
- Liu J, Tang W, Chen G, Lu Y, Feng C, Tu XM. Correlation and agreement: overview and clarification of competing concepts and measures. Shanghai Arch Psychiatry. 2016;28(2):115-20.
- Miot HA. Assessing normality of data in clinical and experimental trials. J Vasc Bras. 2017;16:88-91. DOI: http://dx.doi.org/10.1590/1677- 5449. 041117.
- Ness RO, Sachs K, Vitek O. From correlation to causality: statistical approaches to learning regulatory relationships in large-scale biomolecular investigations. J Proteome Res. 2016;15(3):683-90. DOI: http://dx.doi.org/10.1021/acs.jproteome.5b00911.
- Hahsler M, Piekenbrock M, Doran D. Fast density-based clustering with R. Journal of Statistical Software. 2019;91(1):1-30. DOI: https:// doi.org/10. 18637/jss.v091.i01.
- Janssen A, Wan P. K-means clustering of extremes. Electronic Journal of Statistics. 2020;14(1):1211-1233. DOI: https://doi.org/10.1214/20- EJS1689.
- Pandey P, Singh I. Comparision between K-mean clustering and improved K-mean clustering. International Journal of Computer Applications, 2016:146(13);39-42. DOI: http://doi.org/10.5120/IJCA2016910868.
- Sun L, Chen G, Xiong H, Guo C. Cluster analysis in data-driven management decisions. Journal of Management Science and Engineering. 2017;2(4):227-251. DOI: https://doi.org/10.3724/SP.J.1383.204011.
- Yu H, Wang X, Wang G, Zeng X. An active three-way clustering method via low-rank matrices for multi-view data. Information Sciences. 2020;507:823-839. DOI: https://doi.org/10.1016/j.ins.2018.03.009.
Publication of the article:
«Bulletin of problems biology and medicine», 2023 Issue 2, 169, 159-172 pages, index UDC 378.1+371.7]:159.922.2+612.071.2]:311