Background: According to a study by US scientists, 1/3 percent of the world’s population uses tobacco, and the use of tobacco has steadily decreased over the years, while the use of tobacco-like products, including electronic cigarettes, has increased rapidly. In order to combat this problem, it is necessary to assess the knowledge about e-cigarettes among young people, who are considered to be the main users of e-cigarettes. The lack of research on e-cigarettes is the basis for this study. Aim: To evaluate the knowledge of electronic cigarettes among Nursing students of the School of Nursing. Materials and Methods: The study was conducted by randomly selecting 128 first-year Bachelor of Nursing students from the School of Nursing and taking a questionnaire. The results of the research were statistically processed using the IBM statistics SPSS-25.0 program. Results: Considering the age of the students in the study, 18 years old (41.4%), 19 years old (46.9%), and 20 years old (11.7%) were included. Regarding gender, 113 (88.3%) were female and 15 (11.7%) were male. 65 (50.8%) of the students are enrolled from Ulaanbaatar city, 63 (49.2%) from the local area. When assessing knowledge about electronic cigarettes, 100 (78.1%) had knowledge and 28 (21.9%) had no knowledge. Among students who smoke, 34 (87.2%) smoke e-cigarettes and 5 (12.8%) smoke cigarettes. Sex, where you started, and who you live with are irrelevant to e-cigarette use. But the smoking status is that 32 (36.0%) smoke by themselves with someone in the family who smokes, 7 (17.9%) smoke by themselves without a smoker in the family, friends smoke e-cigarettes 37 (34.3%) smoke by themselves, friends 2 (10%) are related to self-attractors who do not attract friends. (p=0.022) who the participants live with is the motivation for smoking. 36% of students who live with their parents smoke, while 64% of students who live apart from their parents smoke. 84.4% of respondents do not know that e-cigarettes contain propylene glycol, 15.6% do, 63.3% do not know that electronic cigarettes contain benzene, and 36.7% do. Conclusion The level of knowledge about electronic cigarettes among nursing students was insufficient. In addition, having family members or friends who smoke was found to influence students smoking behavior.

Background: Bone mineral density (BMD) is a key indicator reflecting bone strength and resistance to fracture. It is influenced by multiple factors, including age, sex, genetic background, body composition, nutrition, and physical activity. During young adulthood, peak bone mass is actively formed; therefore, identifying early variations in this period is essential for predicting future skeletal health risks. Accordingly, assessing BMD and evaluating its relationship with physical characteristics among first-year nursing students provides a scientific rationale for this study. Aim: To examine the relationship between bone mineral density and selected physical parameters among students. Materials and Methods: A total of 297 first-year students aged 17-35 years from the School of Nursing, Mongolian National University of Medical Sciences were included. Bone mineral density was assessed by measuring the speed of sound through the radius using an ultrasound bone densitometry device. Handgrip strength was measured using an electronic dynamometer. Physical parameters including age, sex, height, and body weight were measured using standardized procedures, and statistical analysis was performed. The study was approved by the Research Ethics Committee of MNUMS on November 21, 2025 (No. 26/1) and March 28, 2026 (No. 26/03-B02), with no ethical violations identified. Results: According to T-scores, 37.1% (n=110) of participants had normal bone status and 62.9% (n=187) showed reduced bone density. Based on Z-scores, 52.5% (n=159) were normal, while 45.6% (n=138) had decreased values. T-score values were 1.87±0.69 (<20 years), 1.44±0.55 (20–30 years), and 1.10±0.31 (>30 years), while Z-score values were −0.73±1.38, −0.43±1.23, and −0.02±1.27, respectively. ANOVA analysis revealed statistically significant differences among age groups (p<0.01). A positive correlation was observed between T-score and age, whereas no significant correlations were found with other physical parameters. Z-score showed a positive correlation with handgrip strength. Conclusions 1. A high prevalence of reduced bone mineral density was observed among the students, which may be associated with incomplete attainment of peak bone mass in adolescents and young adults. 2. A significant difference in bone mineral density was found between age groups (p<0.01), indicating that age is an important factor influencing bone mineral density.

Нойр булчирхайн цочмог үрэвсэл, эмнэлзүйн урьдчилан тооцоолох дүрэм, Ranson –ийн шалгуур, APACHE II-ийн шалгуур A clinical prediction rule is a type of medical research study in which researchers try to identify the best combination of medical sign, symptoms, and other findings in predicting the probability of a specific disease or outcome. More than 80% of all patients with acute pancreatitis recover promptly without developing severe pancreatitis. The presence of early organ failure (within 24 hours of admission), multiple-organ system failure, and persistent or progressive (present beyond 48 hours after admission) organ failure are associated with prolonged hospitalization, ICU admission, need for surgery, and death. In high developed country, Ranson and APACHE II prognostic criteria are used in order to evaluate patient´s situation and modified treatment tactics. That is give an idea us to carry out retrospective study, by using patients´ documents, who hospitalized in National central hospital in last year. As result, according to Ranson´s criteria 13 (31.7%) of all patients had 0-2 score, which means mortality risk was 1.8%, 20 (48.8%) had 3-4 score (mortality risk is 11%), 8 (19.5%) were estimated 5-6 score, having 33% of mortality risk. Whereas, regarding to APACHE-II criteria 14 (34.2%) of total patients had score of 0-4, showing 4% of mortality risk, 23 (56.1%) were scored 5-9, having 8% of risk, 3 (7.3%) were scored 10-14, having 15% of risk, 1 (2.4%) had 15-19 score, having 24% of risk. Moreover, we determined that incomplete laboratory test, meaning essential prognostic criteria not used in Mongolia.