Analysis on Prevalence Rate and Influential Factors of Hyperuricemia among Residents in Ouhai District,Wenzhou
Xie Jian-mia
Abstract
Xie Jian-mia
Abstract
Objective To assess the prevalence rate of hyperuricemia and its risk factors among residents in Ouhai district,Wenzhou.Methods A cluster random sampling was performed to select 1520 permanent residents aged over 35 years from two communities in Ouhai district for this cross-sectional study.SPSS 13.0 software was used to analyze the data of questionnaires,physical examination and laboratory testing.Results Prevalence rate of hyperuricemia of residents in Ouhai was 7.6% totally,with male 10.4% and female 5.3%(χ2=13.94,P0.01).Non-conditional Logistic regression analysis showed that male,obesity,central obesity,hypertension,hyperglycemia and hyperlipidemia were the major risk factors of hyperuricemia.Conclusions With a middle level prevalence rate of hyperuricemia and various influential factors in Ouhai district,the comprehensive measures should be taken to prevent and control it to reduce the incidence rate.
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Objective To assess the prevalence rate of hyperuricemia and its risk factors among residents in Ouhai district,Wenzhou.Methods A cluster random sampling was performed to select 1520 permanent residents aged over 35 years from two communities in Ouhai district for this cross-sectional study.SPSS 13.0 software was used to analyze the data of questionnaires,physical examination and laboratory testing.Results Prevalence rate of hyperuricemia of residents in Ouhai was 7.6% totally,with male 10.4% and female 5.3%(χ2=13.94,P0.01).Non-conditional Logistic regression analysis showed that male,obesity,central obesity,hypertension,hyperglycemia and hyperlipidemia were the major risk factors of hyperuricemia.Conclusions With a middle level prevalence rate of hyperuricemia and various influential factors in Ouhai district,the comprehensive measures should be taken to prevent and control it to reduce the incidence rate.
Key concepts: Hyperuricemia, Medicine, Logistic regression, Obesity, Environmental health, Prevalence, Hyperlipidemia, Cluster sampling