Б.Мөнх-Эрдэнэ
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Б.Мөнх-Эрдэнэ
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Баяртай Мөнх-Эрдэнэ
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Bayartai Munkh-Erdene
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8 results
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Item type:Publication, Effectiveness of Virtual Reality in Undergraduate Nursing Education on Pneumonia(MDPI AG, 2025-08-05); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A systematic review on the associations between low back pain and frailty in community-dwelling older adults(2025-09); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Identifying Key Predictors of Sarcopenic Obesity in Italian Severely Obese Older Adults: Deep Learning Approach(2025-04); Abbruzzese, LauraBackground/Objectives: Sarcopenic obesity (SO), the coexistence of sarcopenia and obesity, poses serious health risks, such as increased mortality. Despite its clinical significance, key predictors of SO remain unclear, especially in severe obesity. This study aimed to identify independent predictors of SO in Italian older adults with obesity using a deep learning neural network. Methods: A cross-sectional study was conducted with hospitalized older adults diagnosed with severe obesity. SO was defined according to the 2022 ESPEN/EASO Statement Criteria, based on skeletal muscle function assessed by the five-repetition sit-to-stand test (5-SST) and body composition parameters evaluated using Dual X-ray Absorptiometry. A total of 42 independent variables were analyzed. Data normalization was performed using MinMaxScaler, and an optimal neural network architecture was selected via grid search with stratified 5-fold cross-validation. Model performance was assessed using accuracy, precision, recall, F1-score, AUC-ROC, and AUPRC metrics. Results: The correlation analysis revealed strong negative associations between SO and handgrip strength (HGS) (r = -0.785) and appendicular lean mass (ALM) (r = -0.745), as well as moderate correlations with 5-SST (r = 0.603), 30-second chair stand test (r = -0.474), 6-minute walking test (6m-WT) (r = 0.289), and waist circumference (WC) (r = 0.127). The deep learning model achieved an average classification accuracy of 72%, with a precision of 83% and an AUC of 0.9333. Conclusions: The main key predictors of SO were HGS, ALM, 5-SST, 30s-SST, 6m-WT, and WC in the early detection of this condition. The findings highlight deep learning's potential to improve SO diagnosis, risk assessment, clinical decision-making, and prevention in severely obese older adults. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Differences in Spinal Posture and Movement Between Adult Females with Anorexia Nervosa and Age- and Sex-Matched Normal-Weight Controls(2025-05); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Spinal Posture and Movement in Female Adolescents with Anorexia Nervosa(2026-04); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Differences in three-dimensional spinal kinematics between individuals with chronic non-specific low back pain and age- and sex-matched asymptomatic controls(2026-07); ; ; Wong, Arnold YlBACKGROUND: Although people with chronic low back pain (LBP) appear to have altered spinal range of motion (ROM) or movement variability in the sagittal plane, it remains unclear whether these alterations can be observed in different spinal ROM tests or functional activities. The aim of this study to investigate three-dimensional spinal kinematics among individuals with chronic non-specific LBP during ROM and functional tests, comparing them with those in age- and sex-matched healthy individuals. METHODS: A total of 60 individuals (30 participants with and 30 without LBP), aged between 18 and 50 years participated in the study. The full-body Xsens system was employed to record the three-dimensional movements during ROM tests (flexion-extension, lateral bending, and axial rotation) and functional activities (single-leg standing, Hurdle step, squat, and picking up a box tests). RESULTS: Statistically significant between-group differences in some spine variables were observed during the ROM and functional tests (p < 0.05). Compared to healthy individuals, those with LBP demonstrated less movement in their spine [thorax flexion, difference between groups (Δ) = -15.9°, 95% CI -23.8° to -8.0°, p = 0.0001] and pelvis (pelvic flexion, Δ = -9.8°, 95% CI -17.1° to -2.5°, p = 0.009) during ROM tests, while these parameters moved more during functional tasks, such as greater lumbar flexion-extension during the single leg stance test (Δ = 12.5°, 95% CI 8.8° to 16.1°, p = 0.0001). CONCLUSION: These findings emphasize the significance of incorporating both ROM and functional tests in spinal assessments. Addressing impairments in these areas could be crucial for managing individuals with chronic LBP and tracking their progress. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A satisfaction-focused CIPP evaluation of Mongolia's undergraduate occupational therapy program: a cross-sectional study(Korean Society of Medical Education, 2025-12); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ground reaction forces and kinematics during sprinting using inertial and insole sensors(Springer Science+Business Media, 2026-08-01);