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Epidemiological associations between hyperuricemia and cardiometabolic risk factors: a comprehensive study from Chinese community

BACKGROUND: This study aimed to assess the associations of serum uric acid (SUA) levels and hyperuricemia with cardiometabolic risk factors in a Chinese community-dwelling population. METHODS: A large cohort of 4706 residents was enrolled in this study. Physical examinations and laboratory tests wer...

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Detalles Bibliográficos
Autores principales: Fu, Shihui, Luo, Leiming, Ye, Ping, Xiao, Wenkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608157/
https://www.ncbi.nlm.nih.gov/pubmed/26475463
http://dx.doi.org/10.1186/s12872-015-0116-z
Descripción
Sumario:BACKGROUND: This study aimed to assess the associations of serum uric acid (SUA) levels and hyperuricemia with cardiometabolic risk factors in a Chinese community-dwelling population. METHODS: A large cohort of 4706 residents was enrolled in this study. Physical examinations and laboratory tests were performed following a standardized protocol. Multiple linear and logistic regression analyses were conducted with adjustment of cardiometabolic risk factors including age, sex, body mass index (BMI), blood pressure (BP), triglyceride (TG), high-density lipoprotein-cholesterol (HDL-c), low-density lipoprotein-cholesterol (LDL-c) and fasting blood glucose (FBG) levels using SPSS version 17 software. RESULTS: The prevalence of hyperuricemia was 7.6 %. There were significant differences in age, BMI, BP, TG, HDL-c, LDL-c and FBG levels and the proportion of men between participants with and without hyperuricemia. Multiple linear regression analysis showed that SUA levels were positively associated with age, sex, BMI, BP, TG and LDL-c levels, but negatively associated with HDL-c and FBG levels. Multiple logistic regression analysis showed that per unit increase in age was associated with a 1.014 times higher odds of the presence of hyperuricemia. Men had a 1.858 times higher odds of the presence of hyperuricemia compared with women. Per unit increases in BMI, BP, TG and LDL-c levels were associated with 1.103, 1.016, 1.173 and 1.200 times higher odds of the presence of hyperuricemia, respectively. Per unit increases in HDL-c and FBG levels were associated with 0.616 and 0.900 times lower odds of the presence of hyperuricemia, respectively. CONCLUSIONS: In a Chinese community-dwelling population, age, sex, BMI, BP, TG, HDL-c, LDL-c and FBG levels are cardiometabolic risk factors that are significantly associated with SUA levels, as well as the presence of hyperuricemia.