Abstract
Background
The prevalence of metabolic syndrome (MetS) of comprehensive population are always lower than mono- population. However, studies on MetS and its components of it and its subgroups (different ages, genders, races, regions) based on big data and using a same diagnosis criterion are rare.
Method:
A total of 9,745,640 Chinese adults aged ≥ 18 years in Xinjiang,the largest autonomous region of Multi-ethnic, were enrolled in the study. MetS was defined by modified Adults Treatment Panel (ATP III) criteria.Prevalence of metabolic syndrome and its components were calculated. To further explore the correlates of MetS and its components logistic regression were used.
Results
The overall prevalence of MetS was 20.85% [Sex: 20.06% in female, 21.56% in man; Age: 39.22% in 60 year older followed by 40–59 year 26.32% and 18–39 years 9.56%; Ethnicity: 28.19% in Hui followed by Han (26.39%), Uyghur(18.56%), Other(18.61%), Kazak(17.98%), Mongolian (17.87%), Kyrgyz(14.44%)], living in city and town (23.03%) or north(24.78%) had higher prevalence of MetS than living in rural (19.94%) and South (17.66%). Although the prevalence of hypertension, smoking, drinking and lack of physical activity in Kyrgyz, Mongolian and Kazakh were higher than those of other ethnic groups, the risk of MetS was lower than that of other. The results also showed that although their risk of central obesity and hypertension was higher than that of Han, Hui, Uygur and other, the risk of high-TG, low HDL-C and Elevated-FPG was significantly lower than that of other ethnic groups. Among them, the Mongolian had the lowest risk of high-TG and low-HDL-C, while the Kazakh had the lowest risk of elevated-FPG. In addition, except that the risk of central obesity in males was lower than that in females, the other components of males were higher than those in females, but the risk of MetS was lower than that in females. The risk of MetS and its components in the elderly was significantly higher than that in the young, and physical activity did not show reduce the risk of MetS in the general population.
Conclusion
The reason why the prevalence of MetS in the comprehensive population is lower than that in most mono-population may be that some subgroups of the population have the ability to resist risk factors in terms of genetic structure such as Kyrgyz, Mongolian, Kazak, and the influence in this aspect may exceed that of lifestyle. Within each subgroup, the prevalence of MetS is still increasing. Central obesity is an important risk factor for women with MetS. Elevated-FPG and high-TG are the most important risk factors of MetS in Han, Hui. Climate and lifestyle are the main causes of MetS in northern Xinjiang and city and town residents.