Study Of The Prevalence Of Metabolic Syndrome And Its Possible Influence Factors Between Han And Dai Minority Among Population In Xishuangbanna Prefecture Of Yun Nan

【Objective】 This study was to compare and analyze the prevalence of metabolic syndrome (MS) and its possible risk and protective factors between Han and Dai minority among population in Xishuangbanna prefecture.【Methods】 Multistage stratified random sampling was used to select1000individuals aged35-70years from both Han and Dai minority respectively in study area.1979people was investigated.1640was qualified to the research, of which Dai was948, including343male and605female. Han was692, including276male and416female. Medical examination and socioeconomic information of participants were obtained by a cross-sectional health survey and a structured questionnaire interview. MS was identified by CDS(2007) criteria. Prevalence was standard with age and sex by the2010population of Xishuangbanna Prefecture. All data was transferred into the SPSS17.0for data exploration and analysis. Descriptive analysis was presented in percentage, mean, median. Analytic components were performed by chi-squire test, Linear-by-Linear Association, Pearson Contigency coefficient, median Mann-Whitney U test, t-test and logistic regression analysis et al.[Results]1. After age standardization, MS prevalence in both male,female and total of Dai was lower than Han (29.3%,17.3%and21.4%vs.26.3%,9.7%and16.0%)was used for diagnosis (P<0.001). Male's prevalence was higher than female's in both two groups. And the prevalence increased with age growing (P<0.01). MS prevalence of aged between35to44,45to54and55to70was19.0%,22.5%and28.9%in Dai, and10.8%,18.9%and26.8%in Han. The prevalence of55to70age group were1.5and2.5times comparing with35to44age group in Dai and Han.2. MS prevalence of smokers was30.4%and29.9%,and of non-smokers was22.3%and13.1%in Dai and Han respectively, MS prevalence of smokers was higher than non-smokers (P<0.05).MS prevalence of smokers were1.4and2.3times than non-smokers in Dai and Han. Smoking related with MS. MS prevalence of drinkers was30.1%and25.5%, of non-drinkers was19.9%and13.1%in Dai and Han. MS prevalence of drinkers were1.5and1.9times than non-drinkers in Dai and Han. Drinking related with MS (P<0.05). Dai and Han Chinese per capita edible oil intake were16.7g and77.8g daily, Dai and Han per capita salt intake of10.Og/day and11.2g/day, Dai per capita vegetable oil consumption was0.0g/day.3. The awareness of MS related diseases--diabetes and hypertension were18.8%and34.0%in Dai, and43.9%and57.5%in Han, Dai diabetes and hypertension awareness were significantly lower than Han (P<0.05).4. MS single-component prevalence rate of hypertension(65.2%)> high TG(43.9%)> hyperglycemia(20.8%)> low HDL-C(20.3%)> central obesity(10.2%) in Dai, and hypertension (41.9%) and high TG (37.4%)> high blood sugar (31.6%)> central obesity (25.1%)> low HDL-C (4.0%) in Han. and Han single component suffering disease rate was consistent with the top three. The total prevalence of Hypertension, high TG and low HDL-C in Dai were significantly higher than in Han (P<0.001); central obesity and high blood sugar, the total prevalence in Dai was significantly lower than in Han (P<0.001).5. One and above metabolic abnormalities prevalence of81.3%and69.5%occurred in Dai and Han respectively, and Dai significantly higher than Han (P<0.001). prevalence of MS components occurring alone (31.3%and26.2%) were significantly lower than the two kinds of components gathered prevalence (50.0%and43.4%) in Dai and Han (P<0.001).6. The main metabolic disorder combination of MS were hypertension+hyperglycemia+high TG (6.2%), hypertension+high TG+low HDL-C (4.6%) and hypertension+hyperglycemia+high TG+low HDL-C (3.9%) in Dai; and hypertension+high glucose+high TG (4.8%), central obesity+hypertension+high TG (2.9%), central obesity+hypertension+hyperglycemia+high TG (2.7%) and central obesity+hyperglycemia+high TG (2.3%).7. MS prevalence rate of TC, UA Cr, ALT, IR and Fins increased group were significantly higher than the normal group (P<0.001) in Dai and Han, MS prevalence rate of LDL-C prevalence normal group was no statistical difference with elevated group. MS prevalence in elevated CRP group was higher than the normal group (P<0.05) in Han. MS was of positive correlation with TC UA, Cr, ALT, and by IR, of Fins in Dai (r=0.12,0.19,0.15,0.15,0.33,0.19, P<0.05), MS was of positive correlation with TC, UA, of Cr, ALT, IR, of Fins and CRP was positively correlated in Han (r=0.14,0.23,0.14,0.15,0.16,0.13,0.08, P<0.05).8. MS independent risk factors were aging, male, drinking and IR, ALT, UA, TC.【Conclusions】1. MS prevalence in Dai was significantly higher than in Han, and the prevalence with one kind and above metabolic abnormalities components in Dai was significantly higher than in Han, metabolic disorders were prevalent in35to70-year-old in Dai and Han populations.2. MS prevalence showed gender differences, men were significantly higher than women in Dai and Han. And MS prevalence rate increased with age, The MS prevalence of55-70age group were1.5and2.5times more than the group of35-44age group in Dai and Han.3. MS prevalence rate of Smoking and drinking crowd is higher than the no smoking and no drinking crowd, The behavior of high-salt diet was prevalent widespread in Dai and Han population.High animal oil and vegetable oil diet behavior were prevalent in Han, low HDL-C prevalence was related with low vegetable oil intake in Dai. 4. MS risk in≥45age group was2.7times with <45age group. The risk of MS in men than in women, drinking population suffering from the risk of MS is2.3times the non-drinking crowd.5. MS single component prevalence of Hypertension, high TG and low HDL-C in Dai were significantly higher than in Han; central obesity and high blood sugar, the total prevalence in Dai was significantly lower than in Han. Different measures should be taken with the different ethnic and risk factors to reduce the hazards of MS.6. The assemble component prevalence was significantly higher than Single component prevalence, which pointed out that management should take a comprehensive prevention and combination therapy for chronic diseases such as obesity, hypertension, diabetes, dyslipidemia.