1. Some problems of medically unexplained somatic complains
Jargal B ; Khishigsuren Z ; Nasantsengel L ; Altanzul N ; Oyunsuren D ; Gantsetseg T ; Tuya B ; Erdenetuul N
Innovation 2013;7(2):59-63
People with unexplained somatic complains are high-rate users of healthcare and often receive expensive, unnecessary tests and treatments.To study causes of unexplained somatic complains and some clinical symptoms.There were selected 25 consumers who diagnosed unexplained somatic complains according to ICD-X criteria in our study. In addition, qualitative research was used as semi-structure questionnaire for themMajority of study samples were living unpleasant environment in their family, conflicts of their parents relationship and substance abuse of parents. Most of the participants occurred change of sensation.This disorder is associated with negative family environment.
2. THE FEATURES OF CAREER CHOICE IN HIGH SCHOOL STUDENTS
Bolormaa B ; Oyunsuren B ; Altangerel CH ; Tsolmon CH
Innovation 2015;9(3):156-159
A child’s career aspirations are based on a number of external factors such as ethnicity, gender, age, income, family influence and socioeconomic status. These factors are interrelated and given varying degrees of importance culturally, for example, in the UK, white British parents tend to have high aspirations for their daughters whereas, in Pakistani and Bangladeshi families, daughters are expected to marry, not excel in their education or career. High school students of secondary education in terms of gender, 34432 studentsenrolled in high school who are studying in 46.47% of men and women are 53.52% of the high school, there are changes in the gender disparity. This study is conducted due to Millennium Development Goal 3 is to eliminate gender disparity in education by 2015. This study was conducted among General Education School students of Ulaanbaatar city in 2015. Three hundred twenty four school students participated in this study. The cross sectional study was conducted with 294 high school students.Thirty high school students participated in focus group interview. This study was used qualitative and quantities design.Of the respondents, 47.6% were male and 52.4% female. 79.3% of high school students have chosen a career and 20.7% of high school students have not chosen yet. We are evaluated in career choice with a focus on a gender issue. P = 0.0001 whether there are statistically significant and career choice have different in men and women gender.In this study, 20.7 percent of high school students do not choose career due to a lack of information,do not give the professional advice from the school for them. Thus, schools need to introduce if possible considering the foreign experience, lesson of career choice is reflected in the school curriculum.
3. THE WEIGHT OF SCHOOLBAGS AND MUSCULOSKELETAL SYMPTOMS IN SCHOOL STUDENTS, ULAANBAATAR, MONGOLIA
Oyunsuren B ; Bolormaa B ; Naransukh D ; Tsolmon CH
Innovation 2015;9(3):184-188
There is a little information about weight excess of school materials in Ulaanbaatar, Mongolia. The aim of this study was to study of the weight of backback and the ergonomic effects of backpack carriage on school students in Ulaanbaatar. This cross-sectional study was performed in the city of Ulaanbaatar in 2015. Two hundred fourteen school students participated in study. Nordic Musculoskeletal Questionnaire was used, asking about complaints of neck, shoulders, upper and lower back. Length and weight of the children were determined. Backpacks were weighed and the relative weight of the backpack was calculated.In this study, first and second grades students carried proportionately heavier backpacks than older students and more than 10% of their weight. Musculoskeletal complaints were reported by about 79% of school students. The (relative) weight of backpacks was not related to complaints of neck, shoulders, upper and lower back.
4. Oral health status in children with impaired hearing
Munguntsetseg L ; Alimaa B ; Oyunsuren SH ; Tsengunmaa A ; Tseyensuren S ; Batmunkh T ; Altanchimeg H ; Myanganzul P
Innovation 2016;2(1):14-17
Children with impaired hearing have communication and learning difficulty due to delay in the development of receptive and expression communications. Communication difficulties can often lead to social isolation and poor self-estimation. Oral health status in children with impaired hearing tends to be poor due to several reasons as difficulty of adequate training of caregiving parents, parents luck of information and effort. Aim: To study oral health status and oral education level among students of special school №29 for disabled children.A cross-sectional descriptive study. 224 students aged 6-22 years were selected for this study. Participants were subjected to oral examination and were asked to answer to the questionnairePrevalence of caries and DMFT index, dental plague, occlusion and the oral education levels were assessed. The caries prevalence was 95.9%, and the mean DMFT index was 5.5. Dental plaques were identified in 31.7-49.2% of subjects differing among age groups. Among examined children, 32% of subjects had a malocclusion and 18 children underwent cleft lip palate surgical treatment. According to questionnaire 21% of subjects reported that tooth brushing is not significant measure to maintain oral health, which shows that oral education level among subjects was low. Oral health status of children with impaired hearing was in a level comparable to that of healthy children, although the incidence of cleft lip and palate and gingivitis were higher.
5.Study on association between insulin resistance and intermediate risk factors for non-communicable diseases
Khangai E ; Batzorig B ; Bayarbold D ; Enkhtur Ya ; Altaisaikhan Kh ; Oyunsuren E ; Oyuntugs B
Mongolian Journal of Health Sciences 2025;86(2):60-64
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.
6.Associations of secondary risk factors of non-communicable diseases
Khangai E ; Batzorig B ; Narantuya D ; Enkhtur Ya ; Oyuntugs B ; Bayarbold Dangaa ; Oyunsuren E
Diagnosis 2024;111(4):51-58
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.
7.Study of influencing factors of the maternal, infant and placenta weight
Jargalsaikhan B ; Otgonbayar L ; Gandolgor B ; Uurtiintuya B ; Oyunsuren E ; Otgontsetseg B ; Tsolmon G ; Amarjargal B ; Tegshjargal S
Mongolian Medical Sciences 2017;181(3):10-14
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).