Энхтөгс, Хангай

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Prevalence of Elevated Blood Triglycerides and Associated Risk Factors: Findings from a Nationwide Health Screening in Mongolia
(2024-11)
Enkhtugs, Khangai
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Tsedev-Ochir, Tumur-Ochir
;
Yadamsuren, Enkhtur
;
Bayartsogt, Batzorig
;
Dangaa, Bayarbold
BACKGROUND: This study aims to assess the demographic, lifestyle, and clinical characteristics associated with varying levels of triglycerides (TGs) in a large population sample. METHODS: This cross-sectional study utilized data from a nationwide health screening program in Mongolia. A total of 125,330 participants (mean age: 43.8 ± 15.3 years) were included. TG levels were categorized into normal, borderline high, high, and very high. Due to the small number of participants in the very high TG group, they were combined with the high TG category for analysis. Multivariate logistic regression was performed to identify independent predictors of elevated TG levels. RESULTS: The majority of participants (80.3%) had normal TG levels, while 10.3% had borderline high, 8.7% had high, and 0.7% had very high TG levels. Significant predictors of elevated TG levels included age (OR 1.013, 95% CI 1.012-1.014), male (OR 2.328, 95% CI 2.251-2.408), obesity (OR 1.920, 95% CI 1.855-1.987), central obesity (OR 1.866, 95% CI 1.801-1.933), smoking (OR 1.399, 95% CI 1.347-1.453), alcohol use (OR 1.233, 95% CI 1.176-1.292), and non-regular exercise (OR 1.144, 95% CI 1.118-1.171). Sex-specific analysis revealed that elevated TG levels were more prevalent among males, regardless of other risk factors such as obesity and smoking. CONCLUSIONS: Male sex, obesity, and smoking were the strongest predictors of elevated TG levels.
Scopus© Citations 1
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Examining Age-Adjusted Associations between BMI and Comorbidities in Mongolia: Cross-Sectional Prevalence
(2024-06)
Enkhtugs, Khangai
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Byambasukh, Oyuntugs
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Boldbaatar, Damdindorj
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Tsedev-Ochir, Tumur-Ochir
;
Enebish, 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

Э.Хангай

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