title: Relationship between brachial-ankle pulse wave velocity and cardiovascular risk factors: a multi-ethnic study.
abstract: OBJECTIVE
  The objective of the present multi-ethnic study was to explore whether an association exists between brachial-ankle pulse wave velocity (baPWV) and cardiovascular risk factors in China.
  
  
  METHODS
  Two hundred sixty-four adult subjects (152 subjects were of Han nationality, 70 subjects were from Uygur, 19 subjects were from Kazakh, 15 subjects were from Hui, and 8 subjects were of other nationalities.) aged 30-82 years were enrolled in the present study. The subjects' anthropometric, baPWV and laboratory measurements were recorded.
  
  
  RESULTS
  Age (p=0.000), systolic blood pressure (p=0.000), diastolic blood pressure (p=0.002), fasting blood glucose (p=0.000), and hemoglobin (p=0.019) differed significantly among the subjects in the baPWV quartile. Spearman correlation analyses indicated that baPWV was significantly and positively associated with age (r=0.584, p=0.000), systolic blood pressure (r=0.396, p=0.000), diastolic blood pressure (r=0.217, p=0.000), and fasting blood glucose (r=0.231, p=0.000). baPWV was significantly and negatively associated with erythrocyte number (r=-0.181, p=0.003) and hemoglobin (r=-0.192, p=0.002) levels. Multiple regression analyses suggested that age (β=0.573, p=0.000), systolic blood pressure (β=0.181, p=0.003), triglycerides (β=0.160, p=0.008), and cholesterol (β=0.132, p=0.020) were independently associated with baPWV.
  
  
  CONCLUSIONS
  Age, SBP, triglycerides, and cholesterol levels are independently and positively associated with baPWV.
authors.affiliation: Department of Cardiovascular Medicine, the First Affiliated Hospital of Nanjing Medical University, China.
authors.forename: En-Zhi
authors.initials: EZ
authors.lastname: Jia
authors.forename: Feng-Hui
authors.initials: FH
authors.lastname: An
authors.forename: Pu
authors.initials: P
authors.lastname: Liu
authors.forename: Feng
authors.initials: F
authors.lastname: Li
authors.forename: Hong-Wei
authors.initials: HW
authors.lastname: Mao
authors.forename: Wei-Jiang
authors.initials: WJ
authors.lastname: Cui
authors.forename: Hong-Yuan
authors.initials: HY
authors.lastname: Xu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000428:Alcohol Drinking / Q000453:epidemiology; D055109:Ankle Brachial Index; D001772:Blood Cell Count; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000208:ethnology*; D002681:China / Q000453:epidemiology; D002784:Cholesterol / Q000097:blood; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D006454:Hemoglobins / Q000032:analysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology; D014280:Triglycerides / Q000097:blood; D014655:Vascular Resistance
chemical_list: D001786:Blood Glucose; D006454:Hemoglobins; D014280:Triglycerides; D002784:Cholesterol