Objective To determine the prevalence of metabolic syndrome and the main influencing factors among residents>35 years of age in a suburb of Shanghai.Methods A multi-stage cluster sampling method was used to administer a questionnaire survey,perform physical examinations,and blood biochemical index testing among 5 029 community residents.The prevalence of metabolic syndrome in different populations>35 years of age was calculated.Single and multiple factor regression analyses were used to evaluate the factors influencing metabolic syndrome.Results The prevalence of metabolic syndrome in an urban population>35 years of age was 32.64%,32.46%in an urban rural fringe population,and 31.16%in a rural population;the differences were not statistically significant(χ2=2.62,P=0.72).Age and gender were influencing factors for metabolic syndrome.There were statistical differences in educational levels,marital status,registered residence,cigarette smoking,alcohol consumption,and meat intake(P<0.05).Among the blood biochemical indicators,high-sensitive C-reactive protein and homocysteine were important influencing factors(P<0.01).Based on multivariate regression analysis it was found that higher age,female,low educational levels,marital status,and abnormal homocysteine and high-sensitivity C-reactive protein levels were risk factors for metabolic syndrome(P<0.05).Conclusions The prevalence of metabolic syndrome is high in a community in Shanghai,and higher age,female,and abnormal serum high-sensitivity C-reactive protein and homocysteine levels are risk factors.
维普
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