Analysis of Incidence Rates of Occupational Diseases in Mongolia, 1986–2006

Mongolia has significant exposure to environmental risk factors because of poor environmental management and behaviors, and children are increasingly vulnerable to these threats. This study aimed to assess levels of exposure and summarize the evidence for associations between exposures to environmental risk factors and adverse health outcomes in Mongolia, with a particular focus on children. A systematic review was conducted using the PubMed, EMBASE, Web of Science, Global Health Library, CINAHL, CABI, Scopus, and mongolmed.mn electronic databases up to April 2014 . A total of 59 studies meeting the predetermined criteria were included. Results indicate that the Mongolian population has significant exposure to outdoor and indoor air pollution, metals, environmental tobacco smoke, and other chemical toxins, and these risk factors have been linked to respiratory and cardiovascular diseases among adults and respiratory diseases and neurodevelopmental disorders among children. Well-designed epidemiological investigations in vulnerable populations especially in pregnant women and children are recommended.

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Disparities in Depression Status Among Different Industries in Transition Economy: A Cross-Sectional Study of Mongolia

Batbold

2021

Asia Pac J Public Health

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Transition economies tend to rely on rapid growth of specific industries and hence often leads to disparities in health status among the working population. This study aims to determine the depression status in different industries and occupational groups in Mongolia, a country that is experiencing an economic transition. We conducted a cross-sectional survey between July and September 2018 in Ulaanbaatar, Mongolia. A total of 1784 employees from 22 private and public companies were enrolled in this study. The Patient Health Questionnaire–9 (PHQ-9) was used to determine the severity of depression. Prevalence of depression is evaluated using weighted analysis. The association between occupational groups (white, blue, and pink collars), industries, and PHQ-9 score was analyzed using linear regression. In multiple regression, the workers in the transportation, public administration, and education industries exhibited the highest depression scores ( P < .001). Traditional variables such as age, sex, and marital status remained significant predictors in our model. Industrial types should not be overlooked in identifying depression in the working population. This is especially true for a transition economy like Mongolia. Analysis by industries is essential to promote stress management in the future among vulnerable groups in specific industries.

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Analysis of Incidence Rates of Occupational Diseases in Mongolia, 1986–2006

Cited by 4 publications

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Health impact of pneumoconiosis in Mongolia: Estimation of losses in life expectancy and quality adjusted life expectancy

Health impact of pneumoconiosis in Mongolia: Estimation of losses in life expectancy and quality adjusted life expectancy

The Impact of the Environment on Health in Mongolia

Disparities in Depression Status Among Different Industries in Transition Economy: A Cross-Sectional Study of Mongolia

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