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    Prevalence of Occupational Diseases caused by vibration, 1975 to 2022: National baseline survey
    (Mongolian National University of Medical Sciences, 2025-12-30) ; ; ;
    Erdenechamba Natsagdorj
    ;
    Naransүkh Damiran
    Objective: Prolonged occupational vibration exposure can cause neurological, musculoskeletal, and connective tissue disorders. Establishing a national baseline in Mongolia is essential to determine the prevalence of vibration-related occupational diseases and to guide evidence-based policy interventions. To establish baseline evidence on the point prevalence and characteristics of vibration-related occupational diseases among individuals diagnosed with work-related disabilities in Mongolia. Methods: A descriptive desk review was conducted using data from 10,219 registered occupational disease cases between 1975 and 2022. Vibration-related cases (ICD codes: G54, G54.1, T75, T75.2, M21) were identified in two stages. A total of 952 cases were analyzed using STATA 12.0. Results: Of the 10,219 cases, 952 (9.3%) were vibration-related, including 895 (94.1%) whole-body vibration (WBV) and 57 (5.9%) hand-arm vibration (HAV) cases. The mean age at loss of work ability due to vibration-related disease was 43.38 ± 6.32 years, with an average exposure duration of 17.62 ± 5.63 years. The mining sector showed the highest prevalence, at 224.86 cases per 100,000 working-age population. Among WBV-related diseases, nerve root and plexus disorders (G54) were most common (38.26 per 100,000), while acquired limb deformities (M21) predominated in HAV cases (1.98 per 100,000). Conclusion: Vibration-induced occupational diseases mainly affect the mining sector. The frequent neurological and musculoskeletal disorders highlight the need for accurate differential diagnosis to ensure effective prevention and management.
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    Association between musculoskeletal pain and whole body vibration exposure among heavy truck operators in Mongolian mining
    (2026-08-09) ; ; ;
    Erdenechamba Natsagdorj
    ;
    Altansukh Otgonnasan
    The mining sector in Mongolia contributes 22.8% to GDP and accounts for 72.2% of all recorded occupational diseases. Of these cases, 23.1% are diagnosed as musculoskeletal disorders (MSDs). However, data on diseases related to vibration exposure remain insufficient. Data were collected from 122 operators using the Larson Davis HVM 100 device to measure whole-body vibration (WBV) exposure, and MSDs were assessed via the Nordic Musculoskeletal Questionnaire (NMQ). The average vibration acceleration experienced by study participants was 1.01 m/s². Bulldozer operators were exposed to the highest acceleration of 2.67 m/s², exceeding the Mongolian standard exposure limit value by a factor of 3.1. Lower back pain (LBP) was reported by 76.2% ( n = 93) of the operators, and those exposed to vibration levels above the exposure action value (0.43 m/s²) had a 9.2-fold higher odds of reporting LBP. This study provides the first evidence in Mongolia linking WBV exposure to an increased risk of LBP among heavy-truck operators, with significantly elevated odds after adjustment for key factors. The findings highlight the need for more comprehensive exposure assessment methods and integrated interventions to reduce WBV-related musculoskeletal risks.
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    Facilitators and barriers to compliance with a raw coal ban amongst pregnant women and mothers of young children in Ulaanbaatar, Mongolia: A mixed-methods study
    (Public Library of Science (PLoS), 2026)
    Miller, Rob
    ;
    Dickinson-Craig, Emma
    ;
    Harbach, Sophie
    ;
    Vickers, Charles
    ;
    Ulaanbaatar, Mongolia, is in the midst of a winter air pollution crisis driven by the combustion of solid fuels in the peri-urban Ger districts to which young children, fetuses and pregnant women are particularly vulnerable. To address this, the Mongolian government banned the sale and use of raw coal in May 2019 and has subsidized and promoted refined coal briquettes as an alternative fuel. This mixed-methods study utilized semi-structured interviews (n = 30) and a questionnaire survey (n = 369) to identify facilitators and barriers to compliance with the ban amongst Mongolian mothers living in Ulaanbaatar. Four main themes were identified that affected compliance: knowledge about air pollution, information sources, initial policy impacts and governance. Facilitators of participants' ban compliance included awareness of the severity of air pollution's health impacts, support for the policy and governmental enforcement. Concerns regarding fuel alternative safety and affordability, as well as uncertainty about the policy itself (inadequate information) were found to be barriers. Incorporation of these insights in future air pollution mitigation strategies could be beneficial for strengthening their effectiveness, both in Mongolia and settings that face similar challenges throughout the world, which in turn could be a crucial step in meeting the 2030 Sustainable Development Goals agenda.
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    Scopus© Citations 1
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    Estimating the Impacts of Hospitals' Organisational and Geographical Characteristics on the Adoption of Health Information Technology in Mongolian Hospitals
    (Wiley, 2021) ; ; ;
    Zhang, Xinping
    BACKGROUND: The adoption of health information technology (HIT) is an important measure for improving healthcare quality and safety, which is affected by many hospital factors, but it has not yet been estimated in the Mongolian hospital sectors. This study examines how hospitals' organisational and geographical characteristics influence the adoption of HIT in Mongolian tertiary and secondary care hospitals. METHODS: А cross-sectional study involving the executive directors and medical equipment engineers was conducted in 39 hospitals. Data acquired from questionnaires are (1) hospitals' organisational and geographical characteristics, including bed-size capacity, ownership type, status, and location of the hospitals, and (2) the adoption rate of HIT, and its categories are based on the Health Information and Management Systems Society's classification (2002). The dependent variable was measured as numbers and the rate of HIT programs adopted clinical, administrative, and strategic information technologies (IT). A regression analysis was used to estimate the factors of impact on the adoption of clinical, administrative, and strategic IT. RESULTS: We found a concerning relationship between the characteristics and adoption of HITs. On average, the number of HIT programs adopted was 18, covering nine clinical IT programs, six administrative IT programs, and three strategic IT programs. The adoption rate of overall HIT was 33.29% in the hospitals. In regression analysis, the organisational and geographical characteristics' impact and HIT adoption of hospitals was positively associated with large bed-size (clinical IT: β = 0.256, P < 0.001; administrative IT: β = 0.3654, P < 0.001; strategic IT: β = 0.0006, P < 0.001), for-profit (strategic IT: β = 0.1995, P < 0.01), teaching (clinical IT: β = 0.2560, P < 0.05; administrative IT: β = 0.1985, P < 0.05; strategic IT: β = 0.2236, P < 0.01), and urban location (clinical IT: β = 0.2840, P < 0.001, administrative IT: β = 0.2256, P < 0.01; strategic IT: β = 0.2256, P < 0.001). CONCLUSION: Our study found that the HIT adoption rate in Mongolia is poor, and its adoption is mainly positively associated with bed-size capacity, status, and location of the hospitals. Also, we found that the ownership type is partially affected HIT adoption.
    Scopus© Citations 3
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    Multiple Sclerosis in Mongolia; the First Study Exploring Predictors of Disability and Depression in Mongolian MS Patients
    (MDPI AG, 2023-01) ; ; ;
    Byambajav, Enkh-Amgalan
    ;
    Mongolia is located at 45° north latitude in the center of the Asian continent, and about 80% of the territory is at 1000 m above sea level. Epidemiologically, multiple sclerosis (MS) has not been investigated in Mongolia, although there have been a few MS case reports. We investigated the characteristics of MS in Mongolia for the first time, focusing on the association between MS-related parameters and depression levels. We initiated cross-sectional analyses, using data from 27 MS patients aged 20 to 60 years in Ulaanbaatar, Mongolia. The patients completed a questionnaire on their lifestyles and clinical information. We classified the MS patients on the basis of disability levels using the expanded disability status scale (EDSS) scores: 11.1% mild disability and 88.9% moderate to severe disability (median EDSS score, 5.5). We also classified the patients on the basis of depression levels using the 9-item patient health questionnaire (PHQ-9) scores: 44.4% mild depression, 40.7% moderate depression, and 14.8% severe depression (mean PHQ-9's score, 9.96 ± 5.05). We used multivariate logistical regression analyses to identify predictors of EDSS or PHQ-9 scores. Disability levels were associated with vision and balance problems. Depression levels were associated with corticosteroid treatment; no patients were treated with disease-modifying drugs (DMDs). The odds ratios for disease onset age and treatment duration were associated with EDSS scores. In conclusion, MS onset age and treatment duration were independent predicting factors influencing the level of disability. Appropriate DMD treatment would lower the disability and depression levels.
    Scopus© Citations 4