Introduction Violence is defi ned by the WHO as “the intentional use of physical force or power, threatened or actual, against oneself, another person, or against a group or community, which either results in or has a high likelihood of resulting in injury, death, psychological harm, maldevelopment, or deprivation”. Violence can be divided into many types such as physical, psychological, sexual, neglect and economical etc. Violence against women and child is a manifestation of historically unequal power relations between men and women or child due to patriarchy in many countries of the world. Child maltreatment or violence is one of common public health problems in worldwide and psychologically harm in child’s later life. Objective To detect types, percent and some infl uencing factors of violence against child and adolescent among cases, which were involving into forensic psychiatric evaluation procedures. Materials and Methods We are analyzed all archive documents of NCMH, 2000-2014 by retrospective methodology on based ethical approval of NCMH administration (by ordering 2/189 Oct 28, 2015). Results Total 1067 cases of violence against child and adolescent were registered in 2000-2014 years and 84.7 percent of those (n=904) were sexual violence cases. Gender difference was defi ning among sexual violence cases (girls n=885, p<0.000; boys n=19, p<0.000) with statistically signifi cant. Sexual offender can be act his violence in drunken (OR=2.355; p<0.000; CI 95%; 1.601-3.463) or negative relationship between family members (OR=3.723; p<0.000; CI 95%-2.356-5.883) are more infl uenced to sexual violence against child and adolescent. Conclusion Sexual violence is more registered among child and adolescent maltreatment cases. Children and adolescents are more affected into sexual violence likely to have a negative relationship between the family members or offenders have used alcohol.

BACKGROUNDThe term ‘‘learning styles’’ refers to the concept that individuals differ in regard to what mode of instruction or study is most effective for them. Assessment of learning styles has significant importance in a sense that trainers can update their curriculum and teaching methods by taking learning styles of learners into account.The main goal of our study isto determine learning styles of resident doctors.METHODSWe used descriptive methods and quantitative analysis for our study. Honey and Mumford learning style questionnaire was used to determinelearning styles of residents. 144resident doctorsout of 475 agreed to participate in the study and completed questionnaires.RESULTSAnalysis of learning styles revealed that most common styles for residents are reflector (63.9%) and theorist (16.7%) followed bypragmatist (10.4%) and activist (9.0%). CONCLUSIONSBased on our results, we must consider increasing the mutual study and behaviour changing activities in our curriculum to helpresidents to be more independent and productive by promoting their skills of self-expression, critical and creative thinking.

The term ‘‘learning styles’’ refers to the concept that individuals differ in regard to what mode of instruction or study is most effective for them. There are some types of learning style model in the world and one of them is VARK model which was developed by N.Fleming. Teaching willbecome more effective when determine learning styles of students and teach them suitable way with their learning styles. The main goal of our study is to determine learning styles of nursing students. A descriptiveconfidential questionnaire survey was conducted on 100 students who are learning at Nursing School of MNUMS. They filled VARK questionnaire with 16 question.There are most common learning style was kinesthetic one and it means teaching will be more effective when simulation, close handed and practical sets are used and increased practice hours in the curriculum.

Atherogenic dyslipidemia comprises a triad of increased blood concentrations of small, dense low density lipoprotein (LDL) particles, decreased high-density lipoprotein (HDL) particles, and increased triglycerides. A typical feature of obesity, the metabolic syndrome, atherogenic dyslipidemia has emerged as an important risk factor for cardiovascular disease. We have determined levels of serum lipid profiles in 1861 older people who lives 5 regions in Mongolia. The concentrations of total cholesterol, triglycerides and high density lipoprotein cholesterol (HDL-C) were measured using a biochemical reagents by biochemical fully automated analyzer. The levels of LDL-C were calculated by the Friedewald equation. Overall prevalence of dyslipidemia was 4.3% in men and 3.0% in women. Logistic regression showed that Odds ratio of the atherogenic dyslipidemia was OR=1.3, p=0.001 (CI 95% 0.93-2.47) for body mass index, OR=1.6, p=0.02 (CI 95% 1.0-2.88) for waist circumference, OR=1.76, p=0.03 (CI 95% 1.12-3.54) for waist hip ratio. Odds ratio of the atherogenic dyslipidemia was OR=0.98, p=0.001 (CI 95% 0.34-1.05) for gender and OR=1.0 p=0.001 (CI 95% 0.65-1.03) for age. Overall, 3.3% of older people had atherogenic dyslipidemia and 4.3% of men and 3.0% of women had atherogenic dyslipidemia. An increase of physical parameters are getting a risk factor of atherogenic dyslipidemia.

Background: In Mongolia, the prevalence of non-communicable diseases and their intermediate risk factors has continuously increased in recent years. From results of early detection and prevalence studies of non-communicable diseases in Mongolia, studies linking intermediate risk factors to insulin resistance are scarce. Aim: To identify the prevalence of insulin resistance among the population and study its connection with intermediate risk factors of non-communicable diseases. Materials and Methods: This study was approved by the MNUMS Ethics Committee on February 23, 2024 (2024/3- 02), and was conducted based on the data of participants who took part in the “Population-based Preventive and Early Detection Screening of Infectious and Non-Infectious Diseases” organized by the Mongolian government from 2022 to 2023. Insulin resistance was identified using the triglyceride-glucose index (TyG), calculated by the formula Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL) / 2]. “Ln” refers to the natural logarithm, based on Euler’s number, approximately 2.71828. TyG levels were classified into low risk (<8.5), medium risk (8.5-9.0), and high risk (>9.0). Defined intermediate risk factors for non-communicable diseases according to stages of hypertension and diabetes. Results: The mean age of participants was 44.3±15.2 years, with 39.2% (n=49,270) male and 41.4% (n=49,749) residing in urban areas. Among the participants, 59.1% had overweight or obesity, 23.6% had diabetes or impaired fasting glucose, 61.4% had hypertension, and 19.7% had elevated triglycerides. Analyzing by levels of insulin resistance risk, 62.8% of the population had low risk, 22.5% medium risk, and 14.7% high risk. Comparing systolic blood pressure across levels of insulin resistance risk showed that even without central obesity or diabetes, as the level of insulin resistance increased, the level of systolic blood pressure also increased (low risk group: 117.0±11.7, medium risk group: 121.1±10.9, high risk group: 123.5±16.2 mmHg). Regression analysis of the risk of hypertension by insulin resistance risk level showed that the risk increased with higher levels of insulin resistance (medium risk group OR=1.35, p<0.0001; high risk group OR=1.63, p<0.0001). Conclusion 22.5% of the population is at medium risk and 14.7% at high risk of insulin resistance. The increase in hypertension risk with higher insulin resistance levels is statistically significant, independent of central obesity and diabetes stages.

Background: Obesity and metabolic disorders are significant contributors to hypertension and cardiovascular disease (CVD). While body mass index (BMI) and waist circumference are known to be associated with systolic blood pressure (SBP), the interplay between adiposity, glucose levels, triglycerides, and SBP is not fully understood. This study aims to investigate the relationships between BMI, waist circumference, glucose, triglycerides, and SBP in a large population-based cohort. Methods: A cross-sectional analysis was conducted on [insert total number] participants with complete data on BMI, waist circumference, blood pressure, glucose, and triglycerides. Descriptive statistics, ANOVA, Pearson correlations, mediation analysis, and multiple regression were used to explore the associations between variables. The moderation effect of glucose on the BMI-SBP relationship was examined using an interaction term in the regression model. Results: The mean age of the study population was 44.3 ± 15.2 years. The mean BMI was 26.7 ± 4.9 kg/m², and 22.7% of participants were classified as obese. Central obesity, measured by waist circumference, was prevalent in 55.9% of the population. BMI, waist circumference, glucose, and triglycerides were significantly associated with SBP (p < 0.0001). Mediation analysis showed that waist circumference partially mediated the effect of BMI on SBP. The interaction term for BMI and glucose was significant (β = 0.32, p < 0.05), indicating that glucose levels moderated the relationship between BMI and SBP, with higher glucose levels amplifying the hypertensive effect of BMI. Conclusion This study highlights the complex interplay between BMI, waist circumference, glucose, triglycerides, and SBP. Waist circumference partially mediates the effect of BMI on SBP, and glucose levels moderate this relationship, amplifying the impact of obesity on blood pressure.

Background: Anemia is still being a population’s challenging issue regardless of high development of countries around the world. According to a study regarding prevalence and etiology of anemia conducted in 187 countries around the world, the anemia rate is 23 176 per 100 000 population. In accordance with the “5th National Nutrition Survey” study conducted in our country in 2017, one of every five women (21.4%), aged 15-49 years, 16.2% of reproductive age women and 3.0% of men are anemic. The current study was conducted due to it is still essential to study and identify the etiology of anemia, determine its prevalence, plan appropriate intervention, and organize future preventive measures, depending on the socio-economic conditions, location, diet, and customs of the Mongolians. Aim: To identify anemia among the adult population, determine the type and severity of anemia. Materials and Methods: The cross sectional study was conducted during between May 2022 and Sep 2023 and adults aged above 18 years were included. Moreover, we identified anemia cases based on the laboratory test results and determined the anemia severity grade. Statistical analysis was performed by using SPSS software. Results: Among the participants, 6.7% of them, 9.9% of females and 2.8% of males are anemic. Prevalence of mild, moderate and severe anemia is 66.7%, 30% and 3.3%, respectively. While the prevalence of anemia among reproductive age women is higher, the prevalence of anemia increases with age. The anemia prevalence in Ulaanbaatar region, Western region, Khangai mountainous region, Central region and Eastern region is 583 (25.6%); 171 (7.5%); 343 (15.1%); 921 (40.4%); and 261 (11.4%), respectively. By regional location, the prevalence is high in the Central region, with varying prevalence in other regions. Conclusion Anemia was detected in 6.7% of the total study population, 9.9% of females, and 2.8% of males were anemic. Of those with anemia, 66.7% had mild anemia, 30% had moderate anemia, and 3.3% had severe anemia. Moderate and severe anemia were more common in females than in males.

Introduction : In the last years other country scientists told about not only determine infant weights, need to interest correlation between maternal weight, height and infant weight. In our country few research articles posted about anthropometry of obstetrics and gynecology. Our study aim is determine maternal weight, infant weight, placenta weight and assess factors affecting roles on maternal story of “Amgalan” Maternity Hospital in 2014-2015. Goal: The current study aimed at assessing maternal weight, infant weight, placenta weight and evaluating the effect of factors leading to it. Materials and Methods: The data was already collected from “Amgalan” Maternity Hospital using maternal history and record and it was collected measuring general physical characteristics such as body weight and height, infant weight, placenta weight and body circumferences. We used retrospective method and collected statistical data was analyzed using SPSS 21.0 software. Results: Of total 964 study participants aged 18-45. The average age of participants was 29.6 ± 5.8 years old and 49.7% (n=479) was working during pregnancy, 45.7% (n=441) hadn’t works, 4.6% (n=44) was student. The average weight of mothers was 75.4±11.5, weight of infants was 3439.5±456, weight of placenta was 685±129. The following factors affected maternal and infant weights: lower education, working, early and late pregnancy complication. Maternal weight had a low direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01). In our study maternal height had a low direct correlation with infant weight(r=0.173, p<0.01) and infant weight had a moderate direct correlation with placenta weight (r=0.376, p<0.01). Conclusions
1. The average maternal weight was 75.4±11.5, infant weight was 3539.5±456, placenta weight was 685±129.
2. The following factors affected maternal and infant weights: lower education, working status, early and late pregnancy complications.
3. Maternal weight had a little direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01).