Analysis of quality of life indicators in medical students in the Sakhalin Oblast

Abstract

Aim. To study the indicators of quality of life (QoL) and health-related quality of life (HRQoL) among medical university students.Materials and methods. In total, 114 people aged 18 to 23 years were included in the study. The participants were divided into two groups. Group 1 consisted of 55 medical students (MS) of the Pacific State Medical University undergoing practical training in the city of Yuzhno-Sakhalinsk (Vladivostok, Russia). In this group, male and female respondents accounted for 41.8% (23) and 58.2% (32), respectively. Group 2 included 59 students of non-medical education (NMS) from the Sakhalin State University (Yuzhno-Sakhalinsk, Russia), with 49.28% (29) male and 50.8% (30) female respondents. The effect of socio-economic factors on HRQoL indicators was determined, along with the main predictors in their decrease.Results. In the structure of diseases defining the 2nd and 3A health groups, diseases of class IX prevailed. Diseases of the circulatory system (I00-I99) were detected in 12% and 24.4% of MS and NMS, respectively. The diseases of class XI were ranked second. Thus, digestive diseases (K00-K93) accounted for 47.8%, and ophthalmic diseases (H00-H59) accounted for 35.5%. A significant physical dysfunction was identified in more than 3% of respondents; 99% of respondents reported a decrease in working capacity. Among MS, 1.7% of respondents demonstrated signs of depression and suffered from pain of varying intensity (44.5%). A decreased social activity was observed in 4% of NMS respondents.Conclusion. The data of QoL monitoring can be used for developing a multi-level scoring system for preventing health disorders among university students. Proposals were made concerning healthy lifestyle management. The model of dynamic monitoring of the health of university students exposed to various risk factors was supplemented. An individual route for rehabilitation and disease prevention for university students was developed based on the study of QoL.