Background: Epidemiologic studies have demonstrated that elevated serum uric acid concentration is an independent risk factor for metabolic syndrome. However, few studies have focused on elderly populations. Thus, we investigated the association of serum uric acid concentration with metabolic syndrome in community-dwelling elderly Koreans. Methods: This cross-sectional analysis included 2940 participants (986 men and 1954 women) aged 65 years or older who participated in a baseline health assessment for the Korean Urban Rural Elderly cohort study from 2012 to 2014. Serum uric acid concentration was analyzed using both continuous and dichotomous variables. Hyperuricemia was defined as a uric acid concentration ≥7.0 mg/dL in men and ≥6.0 mg/dL in women. Metabolic syndrome was defined according to the 2009 harmonizing definition. Multiple logistic regression models were used to investigate independent association between serum uric acid and metabolic syndrome, after adjusting for age, body mass index, LDL cholesterol, glycated hemoglobin, blood urea nitrogen, estimated glomerular filtration rate health behaviors, and medications. Results: Prevalence of metabolic syndrome and its components increased significantly according to uric acid concentration in both sexes. The adjusted odds ratios for having metabolic syndrome per 1.0 mg/dL higher uric acid concentration were 1.16 (95% CI: 1.03-1.31) in men and 1.27 (95% CI: 1.13-1.42) in women. Hyperuricemia was also associated with metabolic syndrome, with adjusted odds ratios of 1.71 (95% CI: 1.11-2.63) in men and 1.55 (95% CI: 1.05-2.29) in women. Conclusions: Elevated serum uric acid concentration was independently associated with an increased prevalence of metabolic syndrome in community-dwelling elderly Koreans.
Bibliographical noteFunding Information:
The present study is supported by a fund ( 2011-E63005-00 , 2012-E63001-001 , 2013-E63007-00 , 2013-E63007-01 , 2013-E63007-02 ) by the Research of Korea Centers for Disease Control and Prevention and the Korean Health Technology R&D Project, Ministry of Health & Welfare ( HI13C0715 ).
© 2016 Elsevier Ireland Ltd.
All Science Journal Classification (ASJC) codes
- Health(social science)
- Geriatrics and Gerontology