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dc.contributor.authorShevchenko A. S.-
dc.contributor.authorShevchenko V. V.-
dc.contributor.authorPomogaybo K. G.-
dc.contributor.authorDanylchenko S. I.-
dc.contributor.authorBrown G. W.-
dc.contributor.authorShumskyi O. L.-
dc.contributor.authorBilyi Ye. Ye.-
dc.contributor.authorZhoga R. А.-
dc.contributor.authorYushko V. I.-
dc.date.accessioned2026-07-27T08:04:03Z-
dc.date.available2026-07-27T08:04:03Z-
dc.date.issued2025-
dc.identifier.citationShevchenko A. S. The system of risk factors for diseases in valeological disciplines / A. S. Shevchenko, V. V. Shevchenko, K. G. Pomogaybo and other // Inter Collegas. Series: Teaching Issues & Lectures, 2025, Vol. 12, No 1. – Pp. 48-65.uk_UA
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/41517-
dc.description.abstractThe paper investigates the system of risk factors for socially significant diseases and the algorithms of their didactic adaptation for teaching valeological disciplines to non-medical students. The study aims to analyze the characteristics and interrelationships of risk factors to optimize educational content. We have applied bibliosemantic, comparative, and system analysis methods, incorporating the experience of primary disease prevention and training in Ukraine and Germany. The article substantiates the division of risk factors into controllable (smoking, physical inactivity, overeating), conditionally controllable, and uncontrollable categories. We have demonstrated that forming valeological competence and adhering to a healthy lifestyle can eliminate or significantly weaken their negative impact. A three-stage model for adapting complex medical data using scaling, aggregation, and balancing methods has been described.uk_UA
dc.language.isoenuk_UA
dc.subjectprimary prophylaxisuk_UA
dc.subjectpreventable diseaseuk_UA
dc.subjectcontrollable risk factorsuk_UA
dc.subjecthealthy lifestyleuk_UA
dc.subjectvaleological competenceuk_UA
dc.subjectdidactic adaptationuk_UA
dc.titleThe system of risk factors for diseases in valeological disciplinesuk_UA
dc.typeArticleuk_UA
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