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    Body Structure and Operation Features of Mongolian High Ranked Male Athletes
    (Mongolian National University of Medical Sciences, 2022-09-30) ; ; ;
    Objectives: The purpose of this study is to determine the level of morphological and functional indicators depending on sports specializations among high-ranked Mongolian male athletes. Methods: Our study involved 218 athletes aged 18 - 34 in six sports and measured body composition by anthropometry and bioelectrical impedance. Physical performance was assessed by Harvard test, spirometry and physical fitness testing. Results: Sports specializations affect the indicators of physical development and body composition of athletes, which revealed significant differences between them. Martial arts athletes are stronger, more flexible, and more balanced than in team sports. As the ranks increase, body composition and performance get better. According to the Harvard test, 89.2 % (99) of team sports athletes and 98.2 % (55) of martial arts athletes received good and excellent marks. By the spirometry test, team sports groups have higher lung function results. Conclusion: Mongolian high-ranked male athletes have different body compositions in different sports types and it can create a profile of athletes within specific sports. Many years of training can improve the athlete’s performance. The cardiovascular function of athletes involved in martial arts quickly returns to normal after training. In team sports group, lung function is more adapted during a long period of training.
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    Body composition and performance of high-ranking female athletes of Mongolia
    (Mongolian Academy of Sciences, 2023-07-29) ; ; ;
    The purpose of this study is to determine the level of morphological and functional indicators depending on sports specializations among distinguished Mongolian female athletes. Our study involved 123 athletes aged 18-34 in six sports disciplines and the body composition of the athletes were measured by anthropometry and bioelectrical impedance. Physical performance was assessed by Harvard Step Test, alongside spirometry and physical fitness tests. Sports specializations affect the indicators of physical development and body composition of athletes, which revealed significant differences between them. According to the Harvard Test, 85% (34) of team sports athletes, 53.4% (31) of martial arts athletes received good and excellent marks. High-ranking Mongolian male athletes have different body compositions according to various sports disciplines and one can create a profile of an athlete within specific sports. Many years of training can improve an athlete’s performance. The cardiovascular function of athletes involved in martial arts quickly returns to normal after training.
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    Validation of the parent version of the Strengths and Difficulties Questionnaire (SDQ) to screen mental health problems among school-age children in Mongolia
    (2021-04)
    Aoki, Ai
    ;
    Ganchimeg, Togoobaatar
    ;
    ; ;
    Gundegmaa, Lkagvasuren
    BACKGROUND: Child and adolescent mental health problems are urgent health issues in low- and middle-income countries. To promote child and adolescent mental health services, simple validated screening tools are helpful. In Mongolia, the Strengths and Difficulties Questionnaire (SDQ), an internationally used child and adolescent mental health screening tool for children aged 4-17, was translated but not yet validated. To use the questionnaire appropriately, validation is necessary. METHODS: Children at 4th year at elementary school (community sample) and children visited psychiatric outpatient service (clinical sample) were recruited and their parental version of the SDQ was compared. The discriminating ability of the parental version of the SDQ was examined using Receiver Operating Characteristics (ROC) analysis on the SDQ total difficulties score. The area under the ROC curve (AUC) was used as a measure. Cut-off score was determined by normative banding that categorizes children with the highest 10% score range as abnormal and the second highest 10% as borderline following the original method; this cut-off score was compared with the cut-off score candidates with good balance between sensitivity and specificity using ROC analysis. RESULTS: We included 2301 children in the community sample, and 429 children in the clinical sample. Mean age was 9.7 years (SD 0.4, range 8.3-12.0) among the community sample and 10.4 years (SD 3.8, range 4.0-17.8) among the clinical sample. The mean total difficulties score was 12.9 (SD 4.8) among the community sample and 20.4 (SD 6.2) among the clinical sample. A total of 88.8% of the community sample and 98.8% of the clinical sample answered the SDQ. Using ROC analysis, the AUC was 0.82 (95% confident interval 0.80-0.85), which meant moderate discriminating ability. Using normative banding, the borderline cut-off score was 16/17 and abnormal cut-off score was 19/20. For cut-off scores of 16/17 and 19/20, sensitivity was 71.9 and 53.8% and specificity was 78.5 and 90.5%, respectively. The cut-off score candidates by ROC analysis were 16/17 and 17/18. CONCLUSIONS: The parental version of the SDQ had moderate discriminating ability among Mongolian school-age children. For the screening of mental health problems among community children, cut-off score of 16/17 is recommended.
    Scopus© Citations 17
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    Socioeconomic and lifestyle factors associated with mental health problems among Mongolian elementary school children
    (2022-04)
    Aoki, Ai
    ;
    Togoobaatar, Ganchimeg
    ;
    ; ;
    PURPOSE: Lifestyle factors of children and adolescents' mental health problems are an emerging health issue in low- and middle-income countries (LMICs). However, there is a lack of studies on lifestyle factors in LMICs. This study examined the socioeconomic and lifestyle factors associated with mental health problems among school-age children in Mongolia. METHODS: A population-based cross-sectional survey was conducted among 4th-year students at public elementary schools in one district in Ulaanbaatar. The Strengths and Difficulties Questionnaire (SDQ) and a self-administrated socioeconomic and lifestyle questionnaire were completed by participants' guardians. A multivariate logistic regression analysis was performed. RESULTS: Of the 2301 children surveyed, 1694 without missing responses were included in the analysis. The multivariate logistic regression analysis showed that male gender [adjusted odds ratio (AOR) 1.64 (1.29-2.10)], low maternal education [AOR 1.89 (1.16-3.05)], short sleep [AOR 1.41 (1.10-1.80)], no physical activity [AOR 1.31 (1.03-1.67)], and long screen time (AOR 1.53 (1.20-1.94)) were associated with high risk of mental health problems. Low maternal education, low household income, no physical activity habit, and long screen time were associated with internalising problems. Meanwhile, male gender, low maternal education, and long screen time were associated with externalising problems. CONCLUSION: The results are consistent with previous studies in high-income countries, indicating that there are globally common socioeconomic and lifestyle risk factors. The findings of this study may help develop a targeted preventive intervention for high-risk groups, such as socioeconomically disadvantaged groups, as well as a universal preventive intervention to foster a healthy lifestyle in Mongolia.
    Scopus© Citations 11