ABSTRACT
Objective To analyze risk factors for metabolic syndrome in Mongolia versus Han nationalities in Xilinhaote city. Methods Using the epidemiology investigation data of health examination,we calculated the prevalence of metabolic syndrome of Mongolia and Han nationalities, then used logistic regression model to explore risk factors of two nationalities. Results The crude prevalence of MS in Mongolia and Han nationality was 34.3%and 24.6% respectively. The multivariate logistic regression showed that male, the meat-rich diets and aging(OR:2.18, 1.92, 1.04 respectively)were the risk factors for Mongolia nationality, and smoking, family history of hypertension, drinking, the meat-rich diets, aging(OR:1.89, 1.84, 1.72, 1.61 and 1.04 respectively)were the risk factors for Han nationality. Conclusions Xinlinhaote population has higher MS prevalence, and different nationalities have different risk factors. We should take preventive actions to control it.
ABSTRACT
Objective To compare the differences of three diagnostic criterions for metabolic syndrome (MS) proposed by the International Diabetes Federation (IDF) in 2005, the Third Report of National Cholesterol Education Program-Adult Treatment Panel Ⅲ (NCEP-ATPⅢ) in 2005 and Chinese Diabetes Society(CDS)in 2004 in population of Xilinguole city in inner mongolia. Methods 1 060 employees aged more than 20 yrs in enterprises taken health examination in Xilinguole hospital were investigated by epidemiological survey and the prevalence rates of MS and its components were calculated according to these three definitions respectively, and compared the agreement rates and difference between these definitions. Results The age-adjusted MS prevalence rates were 25.0%, 27.9% and 22.5% according to IDF (2005), ATPⅢ (2005) and CDS (2004) respectively. The agreement rate of diagnosis between IDF and ATPⅢ was the highest, and the Kappa value was 0.929. The kappa values between IDF and CDS,ATPⅢ and CDS were 0.726 and 0.763, respectively. There were 4.3% and 10.8% subjects respectively without MS diagnosed by IDF and CDS criterion presented at least 3 risk factors respectively. For Mongolia nationality people, when the waist circumference was 90cm in male and BMI was 25kg/m2 in female, the sensitivity and specificity were relative better, and the distance of ROC curve was the shortest, but for Han nationality, BMI≥25 kg / m2 in male and waist circumference ≥80 cm was better. Conclusion ATPⅢ definition can screen out the highest prevalence of MS and risk factors aggregation among three definitions, and it's best for screening for the high risk population of cardio-cerebrovascular diseases. The cutoff value of waist circumference (WC) in IDF and ATP Ⅲ seems better for Mongolia nationality men; while the cutoff value in CDS was better for Han nationality men. We should combine waist circumference and body mass index to judge the condition of obesity.