MEDICINE AND PHARMACY INVESTİGATE THE RELATİONSHİP BETWEEN SLEEP PATTERNS, MENTAL ACTİVİTY, AND THE USE OF MODERN TECHNOLOGY

. The aim of the study is to examine the nutritional status, mental activity, physical performance and use of technology of university students, as well as the impact of these parameters on the physiological performance of young people. All these features are closely intertwined. Thus, each of them changes depending on or in accordance with the other. Clarification of the impact of some indicators on the body in the study, the study of the interaction of these indicators will help to eliminate obstacles that may arise in the future.

All physiological features are interrelated and ultimately serve to maintain homeostasis. The study examined how nutrition, physical activity, mental activity and modern technologies affect the physiological parameters of the body. Also, the interrelation of these indicators, their adaptation and correlation were determined.
These indicators do not lead to a narrow framework, but to large homeostatic adaptations.
The body's way of life adapts to the environment, during which time a person is constantly changing and evolving throughout his life. The body adapts to the biological, mental, social and psychological changes. Due to this adaptation, behavior, lifestyle and interaction with other people also change 8. The quality of life of students staying in dormitories is lower than that of students staying at home, and levels of physical activity have not been fully investigated 2. Anti-social individuals have difficulty communicating with other people, maintaining contact, and working with any group 8.
In a survey of students' mental activity, 18.6% of students were satisfied with the lessons, and the reasons for dissatisfaction were that 30.1% of the lessons were theoretical (lack of theoretical knowledge, difficult, memorized, etc.), and 29.8% related to social activities. It was found that 20% of them are related to the educational environment (the environment is crowded, there are shortcomings) 4.
Due to stress and overload, a person develops "Occupational burnout syndrome". Studies have shown that burnout is more common in doctors and nurses, followed by teachers and psychologists. According to a study of medical students with an average age of 24.49 ± 0.974, "emotional exhaustion" increased with age.
The students' plans for the future were as follows: 81.2% to receive specialized education, 30.1% for academic activities, and 25.4% to go abroad. 2.5% are nonmedical jobs and 2.5% are undecided 5.
Beck's Depression Inventory (BDI) is used to diagnose depression in students.
The average BDI score of the students was 10.46 ± 8.87. In the United States, the average BDI for university students between the ages of 17 and 25 is 7.6. BDI score does not make much difference by gender. 18.3% of 230 students showed symptoms of depression. In some universities, this value rises to 26.2%. 13.5% of these students use tobacco products, 11.3% use alcohol, 87.4% followed a normal sleep pattern, and 25.2% followed a normal diet. Depression scores on upper-year students were higher 7.
A study by Conklin (1940) found unexpectedly low academic outcomes in some gifted and gifted students. The reason for failure in gifted students is the mismatch between their potential and diligence.
Studies show that about half of gifted students do not succeed at all. Low levels of success manifest themselves in two types: transient and chronic. Temporary failures can return to their previous state after a while. This is due to any personal problem, difficult task, lesson taught by a different teacher, etc. can be 9. Some studies suggest that students' loneliness reduces their academic success. Other sources make it clear that the two factors are not related: academic success is linked to intelligence and diligence. Being alone is the result of a person's inner feelings, and individuality comes to the 3. A study of 421 students on their commitment to modern technology was conducted. 41.1% of these students are not addicted, 46.79% are likely to be addicted, and 12.11% are addicted. 14% of female students and 37% of male students are addicted to modern technology 1. Students who use the Internet for lessons and research are less addicted to the Internet 6. Male students are more socially inactive due to internet use 1.
The study was conducted among students of the Medical Faculty of Nakhchivan State University. The study was conducted with 39 students from Azerbaijan, Turkey and Iran, ranging in age from 17 to 36. Examination cards were distributed to students and additional surveys were conducted. The results of the examination cards were statistically analyzed in the IBM SPSS Statistics 22 software, and correlations, averages, deviations and their interrelationships were clarified. 71% of the participants were men and 29% were women.
The diet was divided into 3 groups: those who ate once a day, twice and three times a day. 9% of women eat once a day, 18% twice a day, and 73% three times a day. 4% of men eat once a day, 14% twice a day, and 82% three times a day. The average nutritional value of men and women together was 2.74, the standard deviation was ,549.
Mental activity is divided into 5 groups: those who are not engaged at all, those who are engaged for 1-2 hours, 3-4 hours, 5-6 hours and more than 7 hours. 37% of women were engaged in mental activity for 1-2 hours a day, 27% for 3-4 hours, and 36% for 5-6 hours. 10% of men were not engaged in any mental activity, 29% were engaged in mental activity for 1-2 hours, 29% for 3-4 hours, 10% for 5-6 hours, and 22% for more than 7 hours. . The average cost of mental activity for men and women was 2.9 hours, and the standard deviation was 1,119.
In Pearson correlation tests, there is a positive correlation between men's mental activity and sleep patterns. The correlation coefficient is ,887 In Pearson correlation tests, there is a positive correlation between men's mental activity and the duration of use of modern technology. The correlation coefficient is ,899.  (2-tailed) ,000 N 28 **. Correlation is significant at the 0.01 level (2-tailed).

Results and innovation:
The physiological characteristics of students change and adapt depending on environmental factors. Physiological features are closely related to each other, but also affect each other's activity. The study is relative in terms of the number of people involved in the study, age and gender, environmental factors and the extent of its impact. In Pearson's correlation tests, the correlation was found to be meaningful, positive, and strong. With the use of modern technology, the relationship between sleep patterns and mental activity has been clarified. The link between sleep patterns and mental activity was also clarified.