Analysis of the Correlation between Serum Uric Acid and Metabolic Syndrome
Han Chun-j
Abstract
Han Chun-j
Abstract
Objective To study the relationship between serum uric acid(SUA)levels and metabolic syndrome(MS).Methods Between March and April of 2007,data of 1 154 local subjects who received their health check-up in Yanji were collected,and then were analyzed on the association between SUA levels and MS.Results The SUA levels in both males and females with MS were higher than those in normal control groups.The levels of BMI,SBP,DBP,TC and TG significantly increased with increasing SUA in males,so were the levels of age,BMI,SBP,DBP,TC,TG and LDL-C in females(all P0.05 or P0.01).The levels of SUA showed significant increase with the number of components of metabolic syndrome in both male and female groups.Logistic regression analysis showed that the age,BMI and TG in males,while TG and HDL-C in females were influential factors for SUA levels.Conclusion There are significant correlations of SUA levels with MS and with the number of components of MS.
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Objective To study the relationship between serum uric acid(SUA)levels and metabolic syndrome(MS).Methods Between March and April of 2007,data of 1 154 local subjects who received their health check-up in Yanji were collected,and then were analyzed on the association between SUA levels and MS.Results The SUA levels in both males and females with MS were higher than those in normal control groups.The levels of BMI,SBP,DBP,TC and TG significantly increased with increasing SUA in males,so were the levels of age,BMI,SBP,DBP,TC,TG and LDL-C in females(all P0.05 or P0.01).The levels of SUA showed significant increase with the number of components of metabolic syndrome in both male and female groups.Logistic regression analysis showed that the age,BMI and TG in males,while TG and HDL-C in females were influential factors for SUA levels.Conclusion There are significant correlations of SUA levels with MS and with the number of components of MS.
Key concepts: Medicine, Metabolic syndrome, Uric acid, Internal medicine, Body mass index, Logistic regression, Obesity, Endocrinology