Choijiljav, Dorjderem
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Товч нэр
Choijiljav, Dorjderem
Бүтэн нэр
Choijiljav Dorjderem
Латин нэр
Choijiljav Dorjderem
Албан тушаал
Судлаач
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Item type:Publication, Prevalence and Characteristics of Front Seatbelt Use in Mongolia among Hospital Workers(Gunma University, 2021-02-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors Associated with Sleep Disturbance Among Miners in Mongolia: A Cross-Sectional Study(National Institute of Informatics, 2025-02-01); ; ; 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors Associated with Sleep Disturbance Among Miners in Mongolia:(Gunma University, 2025-02-01); ; ; 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Validation of the premenstrual symptoms questionnaire among Mongolian nursing school students(Springer Science and Business Media LLC, 2024-12); ; ; 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