The nature of the manifestation of procrastination, level of anxiety and depression in medical students in a period of altered psycho-emotional state during forced social distancing because of pandemic COVID-19 and its impact on academic performance

Introduction: The fact that learning is moving online is probably a disappointment to most medical students. This is especially true for middle and senior students, in whom most disciplines are clinical and focus on practical work with patients. During the period of forced social distancing and online learning in connection with the COVID-19 pandemic, such a common way of learning became impossible. All these changes obviously affect the mental health of medical students, who are already at risk for such phenomenon as procrastination and disorders as anxiety and depression. Purpose: Investigate and evaluate the level of anxiety, depression, and the nature of the manifestation of procrastination in medical students Faculty of Medicine and the Faculty of Training Foreign Citizens (FTFC) of Ivano-Frankivsk National Medical University (IFNMU) in a period of altered psycho-emotional state during the period of forced social distancing and its impact on academic performance. Methodology: 212 medical students were interviewed. The survey was voluntary and anonymous. We used two clinical test methods to identify emotional disturbances: the Hospital Anxiety and Depression Scale (HADS) and the Montgomery-Asberg Depression Rating Scale (MADRS) (Zigmond A.S. et.al.,1983; Svanborg P., 2001). In order to assess the propensity of students to procrastinate, we also used the "Questionnaire to study the propensity of the individual to procrastination" (Shivari ,O.A., 2015), which is a modification of the "General Procrastination Scale" (Lay, C., 1986) and consists of two scales: "Personally conditioned procrastination scale" (Scale I) and "Situationally conditioned procrastination scale" (Scale II). The statistical analysis of the results was performed using STATISTICA 7.0 software packages and the package of statistical functions of Microsoft Excel