A school environment may cause positive effect upon health and healthy behavior, but also representmain factor for transfer of non-infectious diseases. Therefore, the issue of maintaining an appropriate environment in operations of training and educational institution would be considered as vital in every country of the world. In our country the solid waste hygienic conditions around children organizations represent one of actual problems. Through the research work was aimed to evaluate the state of solid waste at external environment of general educational institutions by the momentum model of analytical research and involving 103 state proprietary Educational Institutions of 9 districts. At developing estimation list of solid waste at external environment of schools were used current effective standards, resolutions and regulations. 88.3 percent of schools involved into research work had special solid waste-points and 11.7 percent had no special solid waste-points. 38.8 percent of solid waste-points were fenced from all sidesand 44.7 percent fenced from some sides and 16.5 percent had no fence in whole. The research of material from which was made a solid waste-keeping facility showed that 44.2 percent were made from metal, 2.3 percent from wood and 52.3 percent from brick. When we studied whether the solid waste-keeping facility is placed in distance of 25 meters from school according to standard,was determined that 71.8 percent were built according to the standard, 28.2 percent were allocated within 25 meters showing inconformity with the standard. During the research it has been detected that among schools 27.2 percent had too much solid waste-heap, 25.5 percent had placed no special recycle-bins on the school site and 13.6 percent conducted wrong activity by incinerating solid waste on the territory of school.2/3 or total 63 schools among Metropolitan state proprietary educational institutions has non- standard solid waste-keeping facility, 1/3 or 29 schools has located their solid waste-points in non- standard distance, there exists much solid waste-heap because of insufficient recycle-bins, absence of solid waste-points results in collection of solid waste in a special room inside of school and later its transportation with scavenger. Also, 13.6 percent or 14 schools are incinerating their solid waste within school site. This breeches effective hygienic norms and normative.

Background During the last ten years cardiovascular disease has became one of the priority cause of death in Selenge province, while 23.9 cases in 10.000 population. Studying cause of increasing cardiovascular disease by year and year, connecting with arterial hypertension control and influenced factors is our research work background.GoalTo determine uncontrolled arterial hypertension and evaluate its influenced factors among the population with arterial hypertension in Selenge province.Objectives:1. Research uncontrolled arterial hypertension among the population2. Determine factors that influence uncontrolled arterial hypertensionMaterials and Metods: Research model: Population based moment model of analitic research is used to survey control of population with arterial hypertension. Research coverage and Sampling: Eruu, Zuunburen, and Khutul soums were chosen from 23 soums including center of Selenge province through the random sampling. And then 480 people with arterial hypertension, aged above 18 years were participated in the research. Data was analysed by SPSS 17 program. Collecting information method: Situation of arterial hypertension control is taken by questionnaire method developed by collaboration with WHO and International Association of Arterial Hypertension, and whether follow the drug treatment instruction of physicians is evaluated by MMAS questionnaire method developed by Association of Control Case Managment of America. Arterial hypertension, weight and height of participants were measured. Although people with arterial hypertension under 140-90 mm.Hy are reported “people who are controlling their arterial pressure in normal rate”.ResultsTotally 480 people with arterial hypertension, aged above 18 years were chosen from of Eruu, Zuunburen, and Khutul soums and center of Selenge province. Approximetly, 29.1 percent were male, 70.8 percent were female and average age was 52.43. About 34 percent were high education, 85.8 percent were married and 34.4 percent were retired people. According to the survey, 68 people or 14.1 percent were controlled their arterial pressure/hypertension in normal rate, 412 people or 85.8 percent were uncontrolled their arterial pressure/hypertension in normal rate. Because of the arterial hypertension 59 percent of the participants were under control of physicians. Also there was difference on age and gender with statistical benefit. (p=0.001) People who can control arterial pressure in normal rate were 12.7 percent of people under control of physicians.Conclusions:About 85.8 percent or 412 people with arterial hypertension were uncontrolled, 90 percent were male and 84.1 percent were female. Because of the arterial hypertension, 59 percent of the participants were under control of physicians. But 87.3 percent of them cannot control their arterial pressure/ypertension in normal rate. Physicians control, employment, body mass index and following drug treatment instruction were the factors influence on arterial hypertension control.

BackroundThe goal of the survey was to determine the prevalence of hypertension and common modifiable risk factors which is constantly increases and in highly lead of blood circulating system diseases among the people of Baynkhongor province in recent years, and also to find a reasonable ways to improve preventive actions for long life expectancy of the province residents.GoalThe goal of the survey was to determine the prevalence of hypertension and common modifiable risk factors among the people above 30 years old of Bayankhongor province.Objectives:1. To determine the prevalence of hypertension among the people above 30 years old of Bayankhongor province2. To determine the risk factors for hypertensionMaterials and Method:The cross-sectional survey used WHO STEPS survey methodology adapted to the countrys specifics. A total of 373 randomly selected above 30 year-old residents involved to the survey that all represented by ages, gender etc.Results:The survey result showed that about 41.3% of the target population who involved in the survey has the prevalence of hypertension and with no difference in all regions too. Men had significantly higher prevalence of hypertension compared to women as well (p=0.029), andit would occurs and happens more with the aging. Total of 34.6% of the target population who have the prevalence of hypertension (p=0.0001) have diagnosed and whereas men at risk about 66%. The survey result showed that the consumption of the pernicious habits of the population is high, and average daily serving of fruits and vegetables were (1.64 unit) once 3 more times less than the WHO recommendation. Daily salt intake was 9.8 grams per person (2 more times higher than the WHO recommendation) and nearly one in two persons were at increased risk for physical inactivity.Conclusions:The survey result showed that about 41.3% of the target population who involved in the survey has the prevalence of hypertension. In conclusion, the summary of combined hypertension risk factors demonstrates that 2 in 3 (65.9%) adults have 1-2 risk factors and 1 in 3 (30%) adults have three or more common modifiable risk factors. Twice as many young men (aged 30-49 years) than women have high 3 more risk factors.

BACKGROUND. Since the implementation of Pre-medical curriculum the first students have successfully finished their courses. However, formative and summative evaluation of the curriculum hasn’t been done. The purpose of this study is to analyze the correlation between satisfaction level and knowledge acquisition of the students. MATERIAL AND METHODS. The study was completed at School of Bio-medicine of MNUMS and Division of Education and Policy. We have studied correlation of grade point average (GPA), integrated final exam score, and general admission test/entrance examination test scores (Chemistry and Biology test scores) of total of 395 students’. RESULTS. A total of 395 students’ 4 types of test scores have been used in this study. Out of 395 students, 68 (17%) male, 327 (83%) female and 317 (80%) medical and 78 (20%) health sciences pre-medical students. Results have shown that, both general admission test score and university pre-medical GPA had a direct, average line correlation. In other words, students who have had a higher general admission test score; have scored higher GPA scores at university. The comparison of GPA with the integrated final exam score has shown a direct, average line correlation, which proves the validity of the GPA.The highest factor among was the teacher methodology skills scoring 4.0. The lowest factor was teaching facilities and student lesson load scoring 3.7. CONCLUSION. The satisfaction level is higher the average. The student GPA, general admission test score, both have a direct or average line correlation.

BACKGROUND As a Mongolian National University of Medical Sciences student rating point is calculated by transferring into 42 level quantitative point in accordance with procedure which assess student approved byDirector with 1st attachment of order no. A/144 on December 15, 2015. However, the calculation,estimated by mathematics allocation, of the student rating point, letter point and quantitative is notbased on research also allocation of transferring the rating point into quantitative point is different foranother universities. These reasons mentioned previously have seriously become basis backgroundof our research. The main objective of this research is to compare model of transferring rating pointinto quantitative point. METHODS Research was completed by quantitative method that based on moment descriptive study, case study, model of mathematic and geometry modeling.Under our research objective we did compare study using rate point that transfer into quantitativepoint of student at MNUHS, accuracy and methodology all among the Mongolian state and private universities. Now Mongolian National University of Life Sciences, Etugen University and New Mongolia Medical University are using 5 level table that approved Ministry of Education Science, Mongolian National University is using 9 level scale, Mongolian University of Science & Technology, Mongolian State University of Education, Mongolian State University of Art&Culture are using 12 level scale while MNUHS is using 42 scale table that calculate student average point. We compared model of GPA calculation that rate point transfer into quantitative point by using all tables belong each Universities mentioned above. We have developed mathematical and geometrical modeling on each assessment since we started study and made statistical process based on modeling. RESULTS Some articles of the regulation to adapt the credit hours, evaluate students’ knowledge and ability during the training where providing the higher educational degree were not fulfilled. Hereto: The article of the guidance that are taking: 70 rating point considering to the letter D, 80 rating point considering to the letter C, 90 rating point considering to the letter B are not providing the 12 level module. The modules with staging 9, 12, 42 of the article on regarding measurement of 2, 3, 4 in 70, 80, 90 rating grade are not meeting requirements. According to the survey among 470 students who’s GPA higher 2.5 in the 42 level scale shows mostly. Also, the percentage of the students with GPA higher than 3 are in high level. In other words, 158 students (33.6% of 470 students) are meeting requirements of the national scholarship programs and other scholarships. The calculation of the correlation relationship of the rating point and grades converted to the digit rate that are using in all universities were the positive correlation, linear dependence. For the module with staging Person Correlation 9, its influence rate is 98.7 per cent that shows the highest rate comparing with other modules. To calculate Determination Percentage (r2), the module with staging 9 is 97.4 per cent or these digit grades have the highest capacity to show the rating grade. CONCLUSION Level models are able to rate in points or statistical significant. The high correlation between rating point and digit grade’s and determination percentage in the 9 level module showing more relevant in statistics and reporting capacity. The modules with staging 9, 12, 42 are not meeting requirements of the guidance.

Background: According to the World Health Organization (WHO), 99 percent of the world’s population is exposed to air that exceeds WHO recommendations, with low- and middle-income countries being the most affected. The main causes of indoor air pollution include human activities such as fuel burning, cooking, cleaning, and smoking; housing character istics such as walls, floors, ceilings, and furniture; ventilation; and outdoor air pollution. Aim : To assess PM1 and PM10 concentrations in 120 selected households in Ulaanbaatar. Materials and Methods : Indoor PM1 and PM10 concentrations were measured using Purple Air real-time sensors in randomly selected Ulaanbaatar households between October 2023 and January 2024. Supplementary data on factors af fecting the PM2.5 concentration were collected via questionnaires. Each measurement was taken in 10-minute intervals, yielding 51,309 data for analysis. Results : PM1 concentrations were measured at 55.5±53.2 μg/m³ in gers, 54.9 ± 46.7 μg/m³ in houses, and 31.6±40.1 μg/ m³ in apartments (p<0.001) and measuring PM10 concentrations were 110.6±108.6 μg/m³ in gers, 110.6±96.7 μg/m³ in houses, and 62.2±83.0 μg/m³ in apartments (p<0.001) When considering the concentration of PM1, PM10 by heating type, PM1 was 55.3±50.1 μg/m³ and PM10 was 110.6±103.0 μg/m³ in households with stoves and furnaces, and PM1 was 31.6±40.1 μg/m³ and PM10 was 62.2±83.0 μg/m³ in households connected to the central heating system (p<0.001). Regarding the months of measurement, the highest concentration was observed in December 2023, at 77.1±94.1 μg/ m³. The highest concentrations for both PM₁ and PM₁₀ were recorded in January 2024, at PM₁: 64.8±55.1 μg/m³, PM₁₀: 131.4±116.0 μg/m³. Conclusion 1. Indoor PM10 concentrations in residential environments in Ulaanbaatar city were within the MNS4585:2016 Air Quality Standard, however, it was exceeded the WHO air quality guidelines, indicating an excessive risk of increas ing morbidity and mortality among the population. 2. Indoor PM1 and PM10 concentrations in residential environments in Ulaanbaatar varies depending on location, type of housing, type of heating, and month of measurement.