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    Prevalence and Characteristics of Front Seatbelt Use in Mongolia among Hospital Workers
    (Gunma University, 2021-02-01)
    Lkhagvamaa Munkhbat
    ;
    Shota Ogawa
    ;
    Batgerel Oidov
    ;
    Tungaamaa Davaakhuu
    ;
    Background & Aim: Road accident injuries and fatalities are an ongoing world-wide problem. Thus, this study examined the prevalence of front seatbelt use among Mongolian hospital workers and explored the factors associated with this behavior.
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    Factors Associated with Sleep Disturbance Among Miners in Mongolia: A Cross-Sectional Study
    (National Institute of Informatics, 2025-02-01) ; ;
    Shota Ogawa
    ;
    ;
    Background & Aims: Coal mining is notoriously challenging and hazardous, often leading to detrimental impacts on workersʼ mental health, including anxiety, stress, depression, and sleep disorders.This study evaluates the sleep quality of coal miners in Mongolia and identifies the factors influencing it.Methods: A cross-sectional survey of 329 mine workers, including 200 shift workers (60.8%) and 129-day workers (39.2%), was conducted in October 2023.Participantsʼ stress levels and sleep quality were measured using the standardized Perceived Stress Scale and Pittsburgh Sleep Quality Index, alongside anthropometric assessments.Results: The results revealed that significant sleep disturbances affected 51.2% of day workers and 56.0% of shift workers.Multiple logistic regression analysis showed that among shift workers, moderate-to-high stress levels (AOR= 2.672, 95% CI 1.268-5.628),being female (AOR=7.377,95% CI 2.178-24.980),and having 11 years of work experience (AOR=2.257,95% CI 1.164-4.377)were significantly associated with sleep disturbances.No significant factors were identified for day workers.Conclusions: The study concludes that mitigating stress is crucial for improving the sleep quality of coal miners, particularly shift workers.Addressing these issues can enhance overall well-being and safety in the mining industry.
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    Factors Associated with Sleep Disturbance Among Miners in Mongolia:
    (Gunma University, 2025-02-01) ; ;
    Shota Ogawa
    ;
    ;
    Background & Aims: Coal mining is notoriously challenging and hazardous, often leading to detrimental impacts on workersʼ mental health, including anxiety, stress, depression, and sleep disorders.This study evaluates the sleep quality of coal miners in Mongolia and identifies the factors influencing it.Methods: A cross-sectional survey of 329 mine workers, including 200 shift workers (60.8%) and 129-day workers (39.2%), was conducted in October 2023.Participantsʼ stress levels and sleep quality were measured using the standardized Perceived Stress Scale and Pittsburgh Sleep Quality Index, alongside anthropometric assessments.Results: The results revealed that significant sleep disturbances affected 51.2% of day workers and 56.0% of shift workers.Multiple logistic regression analysis showed that among shift workers, moderate-to-high stress levels (AOR= 2.672, 95% CI 1.268-5.628),being female (AOR=7.377,95% CI 2.178-24.980),and having 11 years of work experience (AOR=2.257,95% CI 1.164-4.377)were significantly associated with sleep disturbances.No significant factors were identified for day workers.Conclusions: The study concludes that mitigating stress is crucial for improving the sleep quality of coal miners, particularly shift workers.Addressing these issues can enhance overall well-being and safety in the mining industry.
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    Frontline Mongolian Healthcare Professionals and Adverse Mental Health Conditions During the Peak of COVID-19 Pandemic
    (Frontiers Media SA, 2022) ; ; ; ;
    Gendenjamts, Enkhjargal
    BACKGROUND: The relatively young and inexperienced healthcare professionals in Mongolia faced with an unprecedent service demand in response to the COVID-19 pandemic. Due to the small size of the healthcare workforce the Mongolian Health Ministry had no choice but to mandate continuous and long workhours from the healthcare workforce. Many of the healthcare professionals exhibited signs and symptoms of mental health disorders. This study aimed to discern the prevalence various mental health concerns, i.e., depression, anxiety and stress, insomnia, and to discern the factors that increased susceptibility to mental health disorders among frontline healthcare professionals providing healthcare services for COVID-19 patients in Mongolia. METHODS: A Cross-sectional research design was implemented. We collected data from 965 healthcare professional, randomly selected from 18 government hospitals, in four regions of Mongolia. Data were collected using the Depression Anxiety Stress-21, the General Self-Efficacy Scale, and the Insomnia Severity Index instruments. We constructed the scale of Pandemic Response Symptoms (PaReSy) which captured stress, depression, and anxiety. Data were analyzed using descriptive statistics, Kruskal-Wallis statistical test and multinominal logistic regression analysis. RESULTS: Prevalence of depression (52.3%, CI 95%: 49.1-55.5%), anxiety (70.2%, CI 95%: 67.2-73.0%), and stress (35.8%, CI 95%: 32.7-38.9%) was documented among Mongolian healthcare professionals. Perception of self-efficacy reduced susceptibility to PaReSy either at mild/moderate (OR = 0.948, 95% CI = 0.911-0.988, P = 0.011) or severe/extremely severe level (OR = 0.911, 95% CI = 0.861-0.963, P = 0.001). Within each stratum of insomnia, the risk of experiencing PaReSy increased almost linearly both in the category of mild/moderate PaReSy and in the category of severe/extremely severe PaReSy. CONCLUSION: Improving self-efficacy and sleeping quality can assist healthcare workers to manage depression, anxiety, and stress. Findings provide important evidence to implement measures and strategies to assist healthcare professionals in low- and middle-income countries to constructively address their mental health concerns and needs.
    Scopus© Citations 6
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    Validation of the premenstrual symptoms questionnaire among Mongolian nursing school students
    (Springer Science and Business Media LLC, 2024-12) ; ;
    Ogawa, Shota
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    ;
    BACKGROUND: Premenstrual disorders (PMDs) significantly affect the daily lives of women. This study evaluated the reliability and validity of the Mongolian-translated Premenstrual Symptoms Questionnaire (PSQ) among female nursing students at the Mongolian National University of Medical Sciences. METHODS: This cross-sectional study was conducted from February 2023 to January 2024. The PSQ was translated into Mongolian, and its reliability and validity were assessed. A total of 431 participants completed the translated PSQ along with the Premenstrual Dysphoric Disorder (PMDD) Scale, Somatic Symptom Scale (SSS-8), Patient Health Questionnaire (PHQ-9), and Beck Anxiety Inventory (BAI). Reliability was evaluated via Cronbach's alpha for internal consistency. Validity was assessed via factor analysis and correlations with external measures. RESULTS: The internal consistency of the Mongolian PSQ was 0. 945. Factor analysis supported the tool's construct validity, which revealed a one-factor structure consistent with that of the original Japanese PSQ. The PSQ had strong positive correlations with the PMDD Scale (r = 0.760), SSS-8 (r = 0.640), PHQ-9 (r = 0.580), and BAI (r = 0.620), which indicated good convergent validity. CONCLUSION: The Mongolian-translated PSQ is a reliable and valid tool for assessing premenstrual symptoms in female nursing students. These findings suggest that the PSQ is a useful tool for screening PMDs in this population.
    Scopus© Citations 2