Background : Diabetic ketoacidosis, an early and common complication at the initial diagnosis of Type 1 Diabetes Mel litus (T1DM), remains a significant clinical concern. The high prevalence of this complication in the pediatric population provided the rationale for conducting the present study. Aim: Our study aims to compare the incidence, clinical features, and physical measurements associated with diabetic ketoacidosis (DKA) at the time of initial diagnosis of Type 1 Diabetes Mellitus (T1DM), and to classify the severity of DKA based on selected laboratory findings. Materials and Methods: We conducted a retrospective observational study of newly diagnosed T1DM with DKA in children aged less than 18 years old at National Center for Maternal and Child Health during the period 2017-2022. The study compared the analysis of medical and laboratory records from patients medical charts. The severity of diabetic ketoacidosis (DKA) was classified based on laboratory criteria according to the 2022 guidelines of the International Society for Pediatric and Adolescent Diabetes (ISPAD). The study data were analyzed using STATA-16.0. Results: During the period from 2017 to 2022, a total of 124 children under 18 years of age (mean age: 9.11±3.84 years) were newly diagnosed with T1DM and included in the study, of whom 67.7% (n=84) presented with diabetic ketoacidosis (DKA). Of the children with DKA, 57.2% (n=48) had severe, 17.8% (n=15) had moderate, and 25.0% (n=21) had mild severity. Girls were more frequently affected (67.1%, n=47; p=0.871). Having a viral infection before the first diagnosis of type 1 diabetes (51.2%, n=43, p=0.011) and having high blood glucose levels at that time (25.8±9.32 mmol/l, p=0.012) were statistically significantly associated with diabetic ketoacidosis. The blood gas analysis of children with ketoacidosis showed pH 7.05±0.15, HCO3 8.68±4.27 mEq/l, and the group with severe ketoacidosis had higher blood potassium levels (4.08±0.8 mEq/l, 3.6±0.56 mEq/l, p=0.049) and blood glucose levels (28.37±9.23 mmol/L, 21.96±9.18 mmol/L, p=0.012) compared to the group with mild ketoacidosis. Conclusions 1. Diabetic ketoacidosis (DKA) was identified in 67.7% (n=84) of the children included in the study. 2. At the initial diagnosis of Type 1 Diabetes Mellitus (T1DM), vomiting and fatigue were the predominant clinical manifestations of DKA. 3. Severe DKA was observed in 57.1% (n=48) of the participants, with elevated serum potassium and glucose levels noted as contributing factors to the severity of ketoacidosis.

Background: In a study conducted in the United States, there is a possibility of negative health effects due to risky behavior. Most smokers (88%) started using tobacco before the age of 18years. In recent years, the use of e-cigarettes has increased in Mongolia, which can be seen by the fact that someone around us is using them. All tobacco products are addictive and involve risky behaviors. Risky behaviors are behaviors that pose a risk of harming one’s own or others’ health, causing morbidity or mortality. Therefore, there is no study on the level of smoking dependence and risky behavior among students, which is the basis of our study. Aim: The study is aimed to evaluate the risky behavior and cigarette smoking among students who are studying the school of university Material and Methods: The study was conducted by using a cross sectional design and a quantitative research method. All students of the School of Nursing, MNUMS were included. First to fourth course students of nursing school were included on a voluntary basis. Results: In the study, 87.8% of participants were female and 12.2% were male student. Furthermore, 50.2% of respondents are smokers. When the physical nicotine dependence test was taken from smoking students, moderate to high levels of dependence were identified, indicating there is behavioral risk. Risk behaviors are associated with factors such as safety, violence, bullying, feelings of sadness, use of tobacco and drugs, consumption of alcoholic beverages, changes in sexual orientation, and body weight. Conclusions 1. The students have limited scientific understanding and explanation regarding tobacco use. 2. Among the study participants, 5.4% had a very low level of dependence, 34% had a low level, 24.3% had a moderate level, 35.6% had a high level, and 0.54% had a very high level of dependence. 3. Risk behaviors related to health include tobacco use, alcohol consumption, marijuana use, bullying and violence, sexual activity, feelings of sadness or suicidal thoughts, screen dependence, and consumption of cola beverages.

Introduction: According to the World Health Organization, 251 vaccines against coronavirus infection are under development. Although vaccination has been introduced nationwide to prevent coronavirus infection, vaccine activity varies (50-95%), and the risk of infection and complications may vary depending on the individual’s physical condition and immune activity. In addition, due to the prevalence of variant of concern, which reduces the activity of some vaccines and increases the risk of complications and mortality of COVID-19, each country and region needs to improve the knowledge and attitudes of citizens about the vaccine. there is a need to study. Goal: To study the knowledge and attitudes of people who have been vaccinated against COVID-19 among the target population of Uvs province. Materials and methods: The study was conducted using a descriptive method of observational research. Quantitative and qualitative methods were used to collect the survey data, and the data were collected in April 2021 through a questionnaire. A random sample of 4,212 people from 11 organizations involved in the Covid-19 vaccine was randomly selected from 24 organizations, and a total of 264 people were surveyed using 12 types of Covid-19 vaccine and analyzed using SPSS software. Result: According to the results of the survey, 4212 people from 11 organizations and 24 people from each organization were randomly selected from a total of 264 people. Mostly female participants (57.5%) have been included in this study. 67.4% of the respondents reported that they do not feel fear associated with vaccination and it means that most of the participants did not show any signs of panic. 91.2% participants did not have any symptoms after the vaccination. 30.4% from total participants was used anti-inflammatory or pain relief pills after vaccination at home. 45.8% of the respondents self reported that they have moderate knowledge about Covid-19 vaccine. Conclusion Overall knowledge of people from Uvs province was insufficient. However, attitude was good enough.

Background: The resulting 5 core competencies that should be common in health professions’ education aAAAAwzzzzere imbedded in the following vision statement from the summit. In our (the authors) roles as clinical educators and health professional education researchers, we often hear clinician colleagues describe interprofessional competencies as “soft skills” and see them as the “poor cousin” to clinical skills. Methods: The survey instrument contained four scales to evaluate faculty attitudes toward IPE and teamwork adapted from the methods of Curran et al (2007) To define the structure clearer, an exploratory factor analysis using varimax rotation was conducted. The level of significance was p<.0001 for all tests. Results: As shown in results mean score was “Attitudes towards health care team” was 3.85, “Attitudes towards interprofessional education” was 4.02, “Attitudes towards interprofessional learning in the academic setting”.was 3.8. The Kaiser–Meyer-Olkin index was 0.735, indicating sampling adequacy, and the Bartlett Sphericity Chi Square index was 357.8 (p <0.0001). Cronbach’s alpha of the 14 items was 0.793, revialing a high rate of internal consistency. The modified ATHCTS questionnaire was categorized into the four factors “Quality of care”, “Team efficiency”, “Patient centred care”, “Negative factors”. Conclusions Findings suggest that the positive attitude of students towards IPE indicates the need for IPE training.

Introduction. Luteinizing hormone is slowly increasing in menopausal transition phase, it’s maintain to increase till early post menopause phase (Gore et al. 2004). It is related to steroid hormone’s negative feedback and estradiol’s positive feedback (Rossmanith 1995), and in addition, recently years kisspeptin-10 of hypothalamus [1]. LH is dramatically decreasing at the rather late of post menopause phase (Hall et al. 2000, Gill et al 2002). By the year 2030, more than 1.2 billion women in the world will be at least 50 years old. This increasing proportion of the female population will be experiencing the menopausal transition with its accompanying physiology and pathophysiology [2]. Recently researchers more focused to study the comparative analysis of hormones at the menopause phase in different ethnic groups. This kind of study have not implemented in our country yet.Goal.Determination of serum LH level changes in relation to aging. Materials and Methods. In this study were involved 161 healthy Mongolian women aged above 35 years. Subjects were randomly selected and undergone physical examination by geriatrician. People, who are receiving hormone replacement therapy, using in proper use of alcohol, injured and had survey, were excluded from our study. Blood samples were collected in the morning 8.30-10.30 AM, after a night fasting. Blood was separated immediately by centrifugation, then obtained sera were stored at -20 0C until assayed by ELISA kit from United Biotech CoLTD, USA, which sensitivity is 1mlU/ml. Statistical analyses have been performed by statistical software SPSS 17, using ANOVA, Pearson correlation.Results. Average level of LH was 29.95±3.31mIU/ml, 15.87±5.86mIU/ml at the age 35-45, 33.12±7.1mIU/ml at the age 46-55, 15.87±ImU/ml at the age 56-65, 38.15±6.6mIU/ml at the age 66-75, and 56.42±11.1mlIU/ml over 76 age in the all participants, considering by person correlation coefficient, between age and LH are moderate and direct correlation (r=0.264, ð 0.003).Conclusion. Average level of LH was 29.95±3.31mIU/ml in women aged over 35. Considering by person correlation coefficient, between age and LH are moderate and direct correlation (r=0.264, ð 0.003). LH increases with aging till round 70 and decreases after 70 years.