The epidemiology investigation of hyperuricemia about adults in urban and rural areas in Guangxi
Wang Mingju
Abstract
Wang Mingju
Abstract
Aim: To investigate the prevalence rate and the epidemiological features of hyperuricemia( HUA) among the adult residents in Guangxi province,and to search the risk factors of this disease.Methods: The multistage stratified cluster random samepling,including Cross-section survey,questionnaire survey,physical examination,blood tests and urine tests,was implemented among 9,000 residents above 18 years old in Guangxi province. The surveys on and relevant risk factors were the key. All the data were analysed by SPSS v13. 0,and then the risk factors that relevant to hyperuricemia were applied to a Binary Logistic Regression analysis. Serum uric acid was determined by GOD-PAP and hyperuricemia was defined as the level of blood uric acid ≥420 μmol /L. Results: Among 7,924 completely surveyed subjects of 9,000,the average age was 46. 27 ± 17. 28 years old,meanwhile the male /female ratio was1∶1. 4. Approximately,prevalence of HUA of those people was 13. 1%,and that percentage was 22. 6%and 4. 9% in male and female respectively. The figure was 8. 5% among urban residents,and 16. 5% among rural ones. The standardized prevalence of HUA of residents in Guangxi province was 14. 6%,in consideration of the constituent ratio of gender and age which were concluded by nationwide population census in 2010. A Binary Logistic Regression analysis indicated that gender,aging,deficiency of renal function,alcoholism,BMI,work intensity,inhigh triglyceride( TG) and high low density lipoprotein( LDL) in serum,are independent risk factors of hyperuricemia. Conclusion: The standardized prevalence rate of hyperuricemia of adult residents within Guangxi province was 14. 6%,then male possessed a higher prevalence than female,and so did urban residents than rural ones. Male,aging,deficiency of renal function,alcoholism,work intensity,BMI,high TG and high LDL in serum,were relevant risk factors of hyperuricemia in this province.
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Aim: To investigate the prevalence rate and the epidemiological features of hyperuricemia( HUA) among the adult residents in Guangxi province,and to search the risk factors of this disease.Methods: The multistage stratified cluster random samepling,including Cross-section survey,questionnaire survey,physical examination,blood tests and urine tests,was implemented among 9,000 residents above 18 years old in Guangxi province. The surveys on and relevant risk factors were the key. All the data were analysed by SPSS v13. 0,and then the risk factors that relevant to hyperuricemia were applied to a Binary Logistic Regression analysis. Serum uric acid was determined by GOD-PAP and hyperuricemia was defined as the level of blood uric acid ≥420 μmol /L. Results: Among 7,924 completely surveyed subjects of 9,000,the average age was 46. 27 ± 17. 28 years old,meanwhile the male /female ratio was1∶1. 4. Approximately,prevalence of HUA of those people was 13. 1%,and that percentage was 22. 6%and 4. 9% in male and female respectively. The figure was 8. 5% among urban residents,and 16. 5% among rural ones. The standardized prevalence of HUA of residents in Guangxi province was 14. 6%,in consideration of the constituent ratio of gender and age which were concluded by nationwide population census in 2010. A Binary Logistic Regression analysis indicated that gender,aging,deficiency of renal function,alcoholism,BMI,work intensity,inhigh triglyceride( TG) and high low density lipoprotein( LDL) in serum,are independent risk factors of hyperuricemia. Conclusion: The standardized prevalence rate of hyperuricemia of adult residents within Guangxi province was 14. 6%,then male possessed a higher prevalence than female,and so did urban residents than rural ones. Male,aging,deficiency of renal function,alcoholism,work intensity,BMI,high TG and high LDL in serum,were relevant risk factors of hyperuricemia in this province.
Key concepts: Hyperuricemia, Medicine, Logistic regression, Epidemiology, Demography, Environmental health, Population, Rural area