Sereejav, Enkhbold
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Sereejav, Enkhbold
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Sereejav Enkhbold
Латин нэр
Sereejav Enkhbold
Албан тушаал
Судлаач
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Item type:Publication, Distribution of 10-year cardiovascular disease risk levels in Mongolia: results from nation-wide health screening programINTRODUCTION: The Mongolian government recently initiated the first nationwide health screening program to assess the health status of the entire population using age-group specific health risk assessments related to the major noncommunicable diseases and behavioral risk factors. Based on data collected from nationwide health screening program, we estimated the distribution of 10-year cardiovascular disease (CVD) risks in the general population by using the risk prediction model recently published by the World Health Organization (WHO). METHODS: A representative sample of 35,769 adults aged between 40 and 80 years old participated in nationwide health screening program, which covered all 21 Mongolian provinces and 9 districts in the capital city Ulaanbaatar. Data used in the present study were obtained from the first wave of the screening program, which was held throughout Mongolia between May 2022 and February 2023. To assess the four categories of CVD risk and determine the 10-year risk of a fatal/non-fatal event, we used the WHO CVD risk 2019 laboratory-based cardiovascular disease risk charts. The following key risk factors were used to assess the 10-year CVD risk: gender, age, location, smoking status, body mass index, total cholesterol level, history of diabetes, fasting glucose level, and blood pressure level. The 10-year risk for CVD was divided into four groups: low risk (< 10%), mild risk (10 to 20%), moderate risk (20 to 30%), and high risk (> 30%). RESULTS: Total of 35,769 adults aged between 40 and 80 years old participated in the nationwide health screening program. The mean age of the participants in the screening program was 54.4 ± 9.3 years. According to the CVD charts published by the WHO, about 48% (n = 17,282) of the study population had a low 10-year CVD risk (<10%), 41% (n = 14,554) had a mild risk (10-20%), 12% (n = 3,502) had a moderate risk (20-30%), and 1% (n = 431) had a high risk (>30%). CONCLUSION: More than half of the screening program participants were identified as having a 10-year CVD risk greater than 10%. Effective intervention focusing on the male population living in urban areas, and target on major risk factors like hypertension, smoking and diabetes can be strategic approach to reducing the CVD risk in Mongolia.Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correction: Distribution of 10-year cardiovascular disease risk levels in Mongolia: results from nation-wide health screening program[This corrects the article DOI: 10.3389/fpubh.2025.1412262.]. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Examining Age-Adjusted Associations between BMI and Comorbidities in Mongolia: Cross-Sectional Prevalence(2024-06); ; ; ;Tsedev-Ochir, Tumur-OchirEnebish, Oyunsuren(1) Background: This study investigated the association between body mass index (BMI) categories and comorbidities in the context of a developing country, utilizing data from a nationwide health screening in Mongolia. (2) Methods: The study included 181,080 individuals (mean age 47.0 ± 15.3, 42.0% male) from the population-based general health screening. We counted the number of diseases from participants' medical records based on ICD-10 codes, excluding those categorized under Z00-Z99 and codes indicating acute disorders, as well as individuals classified as underweight. (3) Results: Among study participants, the prevalence of two or more comorbidities was 4.2%. The weight distribution comprised 40.4% normal weight; 37.1% overweight; and 16.9%, 4.4%, and 1.2% in the Class I, II, and III obesity categories, respectively. Comorbidities increased with BMI: normal weight (0.222); overweight (0.255); and Class I (0.290), Class II (0.302), and Class III obesity (0.303), suggesting a dose-dependent likelihood of having multiple diseases. Adjusted linear regression (beta coefficients, 95% CIs) showed increased comorbidity risks in overweight (0.017, 0.013-0.021) and obesity (0.034, 0.030-0.039). Interaction analysis with age revealed a significant effect (p < 0.001). While comorbidities tend to increase with higher BMI categories in all age-tertile groups, this association was notably stronger among younger individuals. (4) Conclusions: Obesity is associated with a twofold increase in the prevalence of multiple comorbidities compared to normal weight. Our findings also highlight the critical role of age in the development of multiple diseases, with BMI remaining a significant factor across various age groups, encompassing both younger and older adults.Scopus© Citations 9
