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Metabolic Syndrome and 5-Year Incident Hyperuricemia Among Older Chinese Adults: A Community-Based Cohort Study

Authors :
Jing-Hong Liu
Chen-Wei Pan
Qing-Hua Ma
Xing Chen
Yong Xu
Source :
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 13:4191-4200
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Background There was a lack of studies focusing on older adults about the longitudinal association between metabolic syndrome (MetS) and hyperuricemia (HUA). We aimed to assess the association of baseline MetS and incident HUA among older Chinese adults, with a special focus on the associations between different combinations of MetS components and HUA. Methods Data of 3247 Chinese adults aged 60 years or older included in a community-based longitudinal cohort study were analyzed. Anthropometric examinations and collection of blood sample were conducted both at baseline and follow-up. HUA was defined as 7 mg/dl or above for men and 6 mg/dl or greater for women. MetS was assessed based on the National Cholesterol Education Program-Adult Treatment Panel III, and older adults with the presence of at least three of MetS components were considered as having MetS. Results MetS and its components, including high blood pressure (BP), high body mass index, diabetes mellitus and high triglycerides, were significantly related to incident HUA. The association between high BP and incident HUA is strongest among the five MetS components. Among all combinations of MetS components, the group consisting of diabetes mellitus, high BP and high triglycerides had the highest odds for incident HUA (OR = 13.07, 95% CI = 4.95-34.54). Conclusion MetS and its components, except for low high-density lipoprotein cholesterol, could increase the risk of HUA among community-dwelling older adults, and high BP may be the most important determinant.

Details

ISSN :
11787007
Volume :
13
Database :
OpenAIRE
Journal :
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Accession number :
edsair.doi...........2a1874f3add6d6c3718bdf8791c7552c
Full Text :
https://doi.org/10.2147/dmso.s278542