title: Association among serum uric acid, cardiovascular risk, and arterial stiffness: a cross-sectional study in She ethnic minority group of Fujian Province in China.
abstract: OBJECTIVE
  To investigate the association between serum uric acid levels, cardiovascular risk, and arterial stiffness in She ethnic minority in South China's Fujian Province.
  
  
  METHODS
  5109 participants aged 20-79 yr were enrolled in analysis. Tpeak-Tend interval (Tp-e), QT interval, and height of the R wave in lead aVL (aVLR) were measured on 12-lead electrocardiogram (ECG), and Minnesota code-indicated major abnormal ECG MA-ECG was used as a risk indicator of cardiovascular disease. Arterial stiffness was assessed by brachial-ankle pulse wave velocity (baPWV).
  
  
  RESULTS
  Longer Tp-e interval, greater Tp-e/QT ratio, and higher aVLR were observed in the highest quartile of uric acid level. The incidence of MA-ECG was gradually increased from lowest to highest quartile of serum uric acid in males (p for trend <0.01). After adjusting traditional cardiovascular risk factors, multivariate analysis revealed that the fourth quartile of serum uric acid level was independently associated with MA-ECG in males [odds ratios (OR) (95% confidence interval): 2.129 (1.376-3.295)] but not in females. Serum uric acid was also associated with abnormal baPWV, when adjusted for atherogenic confounders. Compared with the lowest serum uric acid quartile, the OR (95% confidence interval) of the second, third, and fourth quartile were 1.920 (1.246-2.957), 1.650 (1.064-2.558), and 2.501 (1.600-3.908) in males.
  
  
  CONCLUSIONS
  Among China's She ethnic minority, uric acid level was independently related to arterial stiffness assessed by baPWV in both genders. The evaluation of uric acid level was related to higher cardiovascular risk in males but not in females.
authors.affiliation: Department of Endocrinology, Ningde Municipal Hospital, Fujian Medical University, Ningde, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Lin
authors.forename: X
authors.initials: X
authors.lastname: Lai
authors.forename: G
authors.initials: G
authors.lastname: Chen
authors.forename: Y
authors.initials: Y
authors.lastname: Xu
authors.forename: B
authors.initials: B
authors.lastname: Huang
authors.forename: Y
authors.initials: Y
authors.lastname: Wu
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: L
authors.initials: L
authors.lastname: Yao
authors.forename: F
authors.initials: F
authors.lastname: Lin
authors.forename: Y
authors.initials: Y
authors.lastname: Qiao
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: S
authors.initials: S
authors.lastname: Zhu
authors.forename: H
authors.initials: H
authors.lastname: Huang
authors.forename: J
authors.initials: J
authors.lastname: Wen
mesh_terms: D000328:Adult; D000368:Aged; D001783:Blood Flow Velocity / Q000502:physiology; D001794:Blood Pressure / Q000502:physiology; D002318:Cardiovascular Diseases / Q000208:ethnology* / Q000378:metabolism* / Q000503:physiopathology; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D033461:Hyperuricemia / Q000208:ethnology* / Q000378:metabolism*; D015994:Incidence; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000208:ethnology / Q000378:metabolism; D008875:Middle Aged; D008913:Minority Groups / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D015995:Prevalence; D011673:Pulsatile Flow / Q000502:physiology; D012307:Risk Factors; D014527:Uric Acid / Q000097:blood*; D059289:Vascular Stiffness / Q000502:physiology*; D055815:Young Adult
chemical_list: D014527:Uric Acid