title: Understanding blood pressure variability: spectral indices as a function of gender and age.
abstract: Typically, blood pressure variability has been calculated by taking the simple mathematical standard deviations of a collection of discrete blood pressure (BP) measurements. Recently, spectral analytic techniques have been employed to examine beat-to-beat blood pressure variability and the underlying autonomic adjustments associated with the performance of various tasks. In the present study, beat-to-beat blood pressure was examined in 104 older African-Americans males and females who were part of the Healthy Aging in Nationally Diverse Longitudinal Samples (HANDLS) Study. Participants evaluated faces and sentences depicting emotional content and rested before (Baseline) and after (Recovery) the tasks. There were no significant gender effects in any analyses. In addition, there were no significant task effects. However, there was a trend for both low and high frequency systolic blood pressure variability to decrease linearly from baseline, through faces and sentences to recovery. Interestingly, both systolic and diastolic high frequency blood pressure variability was greater in older as compared to younger adults. Increased blood pressure variability has been associated with greater sheer stress and greater end organ damage. These results will explicate the effects of aging on cardiovascular disease risk. Overall, these data indicate that blood pressure variability derived via spectral analytic techniques is a useful tool for understanding cardiodynamics and may provide a more in-depth analysis of blood pressure response.
authors.affiliation: National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, MD 21224, USA.
authors.forename: John J
authors.initials: JJ
authors.lastname: Sollers
authors.forename: Marcellus M
authors.initials: MM
authors.lastname: Merritt
authors.forename: Rebecca A
authors.initials: RA
authors.lastname: Silver
authors.forename: Michele K
authors.initials: MK
authors.lastname: Evans
authors.forename: Alan B
authors.initials: AB
authors.lastname: Zonderman
authors.forename: Julian F
authors.initials: JF
authors.lastname: Thayer
mesh_terms: D000367:Age Factors; D000375:Aging / Q000502:physiology*; D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology*; D001795:Blood Pressure Determination / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004644:Emotions / Q000502:physiology*; D005260:Female; D005583:Fourier Analysis; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D012737:Sex Factors