1.Sexual violence against child and adolescents in Ulaanbaatar
Gou Wang W ; Minjmaa E ; Oyunsuren D ; Khishigsuren Z
Mongolian Medical Sciences 2016;175(1):63-69
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.
2. Learning styles of resident doctors
Battamir U ; Gantsetseg T ; Oyunsuren E
Innovation 2014;8(3):28-32
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.
3. To describe VARK learning styles of students in Nursing
Sergelentsetseg J ; Battamir U ; Gantsetseg T ; Oyunsuren E
Innovation 2015;9(2):66-68
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.
4. ATHEROGENIC DYSLIPIDEMIA IN MONGOLIAN OLDER PEOPLE
Oyunsuren M ; Odsuren S ; Erdenebat N ; Bat-Erdene N ; Zesemdorj O ; Odkhuu E ; Munkhzol M ; Lkhagvasuren TS
Innovation 2015;9(3):164-166
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.
5.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).