title: The prevalence and influence factors of inter-ankle systolic blood pressure difference in community population.
abstract: OBJECTIVE
  The aim of this study was to investigate the prevalence of interankle systolic blood pressure difference (sIAND) and its influencing factors in community population.
  
  
  METHODS
  This study included 2849 (65.1±9.4 y) subjects. Blood pressure (BPs) of four limbs was simultaneously measured with 4 electronic sphygmomanometers after 10 min rest in supine position. The difference of systolic BP (SBP) between two ankles was calculated as DETASBP. The criterion for abnormal sIAND was ≥10 mmHg of absolute DeltaSBP, in which the criterion for 1o sIAND was 10-19 mmHg and for 2o sIAND was ≥20 mmHg. Age, gender, smoking, hypertension, family histories of hypertension and diabetes were recorded. Fasting blood glucose and lipids, circumference of hip and waist, and body mass index (BMI) were measured.
  
  
  RESULTS
  The SBP was higher in the right ankle than in the left ankle (158.9±21.8 vs 157.3±21.6 mmHg, P<0.05) and mean DeltaSBP was 6.08±6.26 mmHg. Similar difference was found in both genders. The prevalence of abnormal was 18.5%, in which, the prevalence 1o sIAND was 15.3% and that of 2o sIAND was 3.1%. Multivariate regression analysis showed that age, waist circumference and blood glucose level were the positive factors for DeltaSBP. The normal upper limit for DeltaSBP was 16.7 mmHg in this population, the prevalence of sIAND by≥16 mmHg was 5.8%.
  
  
  CONCLUSIONS
  Aging, hypertension, obesity and abnormal glucose metabolism are positive factors for inter-ankle SBP difference.
authors.affiliation: Research Institute of Cardiovascular Diseases and Department of Cardiology, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China ; Statistic Teaching Group, Fuzhou Medical College of Nanchang University, Fuzhou, Jiangxi, China.
authors.forename: Zhihong
authors.initials: Z
authors.lastname: Zhang
authors.forename: Jianyong
authors.initials: J
authors.lastname: Ma
authors.forename: Xuehua
authors.initials: X
authors.lastname: Tao
authors.forename: Yueying
authors.initials: Y
authors.lastname: Zhou
authors.forename: Xin
authors.initials: X
authors.lastname: Liu
authors.forename: Hai
authors.initials: H
authors.lastname: Su
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000842:Ankle / Q000503:physiopathology; D055109:Ankle Brachial Index; D001786:Blood Glucose; D001794:Blood Pressure; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology / Q000503:physiopathology; D015995:Prevalence; D012307:Risk Factors
chemical_list: D001786:Blood Glucose