Influences of age and gender on results of noninvasive brachial-ankle pulse wave velocity measurement--a survey of 12517 subjects.
The present study was conducted to evaluate the influences of age and gender on the results of noninvasive brachial-ankle pulse wave velocity (baPWV). In 12517 subjects who had no medication and no history of cardiovascular diseases, multiple regression analysis demonstrated that age, blood pressure, body mass index, triglycerides, blood glucose, and uric acid were significant variables for baPWV in both genders. From this population, we extracted 7881 "healthy subjects" (4488 males and 3393 females, 25-87 years) without any of the atherogenic risk factors, and the results of baPWV were analyzed chronologically in 5-year age intervals. baPWV was lower in females than in males until age 60, and became similar in both genders over age 60. Multiple regression analysis demonstrated that not only the value of R(2) but also the coefficient of the effect of age on baPWV are larger in females than in males. In the estimation of the regression curve, the relationship between age and baPWV demonstrated a quadratic curve in both genders. Thus, aging influences baPWV, and its effect is more prominent in female. Menopause seems to be the crucial phenomenon to explain the augmented increase in arterial stiffness with aging in females.
Tomiyama
Hirofumi
H
The Second Department of Internal Medicine, Tokyo Medical University, 6-7-1 Nishi-shinjuku, Shinjuku-ku, Tokyo 160-0023, Japan.
Yamashina
Akira
A
Arai
Tomio
T
Hirose
Kenichi
K
Koji
Yutaka
Y
Chikamori
Taishiro
T
Hori
Saburoh
S
Yamamoto
Yoshio
Y
Doba
Nobutaka
N
Hinohara
Shigeaki
S
D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry; D001795:Blood Pressure Determination; D015331:Cohort Studies; D003625:Data Collection; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011336:Probability; D011673:Pulsatile Flow; D011674:Pulse; D012016:Reference Values; D012044:Regression Analysis; D012680:Sensitivity and Specificity; D012737:Sex Factors