| Background:With the development of economic,the improvement of people's living standards and the accelerating of social aging process,the spectrum of diseases and cause of death have undergone a qualitative change in China.Cardio-cerebral vascular diseases,cancer,diabetes and other chronic non-communicable diseases have become an increasingly prominent public health problem in China.Metabolic syndrome(MS)has been concerned both at home and abroad in recent years,with a variety of metabolic abnormalities.These anomalies include:diabetes or impaired glucose regulation,high blood pressure,blood lipid disorders,body or abdominal obesity,hyperinsulinemia associated with insulin resistance, microalbuminuria,hyperuricemia and high plasminogen activator inhibitor-1(PAI-1) and so on.Most of these metabolic abnormalities are the risk factors of cardiovascular disease,so studies on the pathogenesis and risk factors of MS have an important sociological significance for the prevention and early diagnosis of cardiovascular disease and other chronic diseases.There is no consensus,recognized diagnostic criteria for MS.In addition to WHO diagnostic criteria,there are other diagnostic criteria or definition,such as the U.S.National Cholesterol Education Program Guide(ATPâ…¢),the diabetic society of Chinese Medical Association(CDS),the International Diabetes Federation(IDF),the European Study Group on insulin resistance(EGIR)and the American Association of Clinical Endocrinology physician(AACE).In Jinan,there is no report on the prevalence and related factors of MS applying different diagnostic criteria.There is also no comparison among different diagnostic criteria.So the present study discussed the MS prevalence and related factors of urban and rural residents in Licheng District, Jinan by cross-sectional investigation.Objects:To describe and analyze the prevalence level and influence factors of MS on urban and rural residents in Licheng District,Jinan;to analyze the consistency of different diagnostic criteria;to discuss the prevalence of MS-related diseases;and further to analyze the association between MS and several other chronic diseases.Methods:Stratified random sampling method was used.Eight villages and two neighborhood committees were involved on September,2006.a total of 2,137 residents aged equal to or more than 15 entered the cross-sectional investigation.The Investigation included name,gender,age,occupation and other general surveys; height,weight,waist,hips and other medical examination;fasting glucose(FBG), serum total cholesterol(TC),triglycerides(TG),and other laboratory tests.Epidata 3.0 software was used to establish the database.SPSS13.0 software was used for statistical analysis.The x~2 test,variance analysis and single-factor logistic regression analysis were used for the single-factor analysis;the non-conditional stepwise logistic regression analysis was used for the multi-factor analysis;the MS prevalence rate difference among different diagnostic criteria was analyzed with a matching x~2 test;the kappa test was used to analyze the consistency of different diagnosis criteria.Results:1.The MS rough prevalence rates of urban and rural residents in Licheng District,Jinan were 15.11%,13.5%and 12.17%respectively according to IDF,CDS, APTâ…¢three diagnostic criteria,the corresponding standardized rates were 12.0%, 10.48%and 9.32%.The MS prevalence rate had a significant difference among the three diagnostic criteria.2.The urban prevalence rates for MS were 18.10%,18.37%and 16.87% respectively according to IDF,CDS,APTâ…¢three diagnostic criteria;the corresponding rural prevalence rates were 13.55%,10.98%and 9.7%respectively;no matter which diagnostic criteria was used,the MS prevalence rate in urban was higher than that in rural areas.Moreover,the MS prevalence rate increased with age.3.CDS was compared with IDF and ATPâ…¢diagnostic criteria,the same diagnosis rates were 92.61%and 92.28%respectively.4.MS components analysis showed:in Licheng district,the standardized prevalence rate was 6.98%for diabetes and was 24.27%for hypertension.The prevalence rate was 32.60%tbr dyslipidemia.The prevalence rates were 31.4%and 10.9%for overweight and obesity respectively,the central obesity prevalence rate was 10.84%.The standardized detection rate for fasting blood sugar damage was 2.54 %,the pre-hypertension detection rate was 50.01%,TC edge higher detection rate was 15.58%.In addition to hypertension,the prevalence rate of other diseases in urban were higher than that in rural areas.5.The related factors analysis of MS showed:after mixed factors adjusted by multi-logistic regression,the elderly,female,heavy manual and the large number of soy products were the risk factors;While the correlation between smoking and MS was negative.6.The risk analysis between MS and several other chronic diseases showed that there was significantly association between MS and coronary heart disease,stroke, osteoarthritis.Compared with the normal,the relative risks of MS patients suffering from coronary heart disease,stroke and osteoarthritis were 2.040,2.286,1.465 respectively.Conclusion:1.The MS prevalence rate of urban and rural residents in Licheng District,Jinan has reached the higher level,and is basically the same as the national average,lower than that in United States,Canada,Poland,India and other countries.2.The MS prevalence rate diagnosed by three diagnostic criteria existed certain difference,but there was better consistency between them.3.In Licheng District,the prevalence rates for hypertension,diabetes,obesity of urban and rural residents and the detection rate of fasting blood sugar damage, pre-hypertension,TC edge higher were slightly higher than the national average.4.The major risk factors for MS included the elderly,female,heavy manual and the large number of soy products.While the correlation between smoking and MS was negative.5.There was association between MS and coronary heart disease,stroke and osteoarthritis.In order to prevent the occurrence of cardiovascular diseases earlier,we should take measures against MS-related risk factors. |
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