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Decoding Your Body Clock: How Circadian Rhythms Impact Blood Pressure and Cognitive Function

"Unraveling the mysteries of blood pressure variability and its surprising link to brain health."


For centuries, we've understood that our bodies operate on natural rhythms, and these rhythms are deeply connected to our health and vitality. One of the most critical systems governed by these rhythms is our circulatory system, which maintains a complex and ever-changing pattern to ensure all our tissues are perfused adequately. This intricate dance involves the constant fluctuation of systolic and diastolic blood pressure over various time scales—from the fleeting moments between heartbeats to the longer cycles of days, nights, and even seasons.

These blood pressure oscillations arise from a multitude of factors: mechanical forces like the pressures of breathing, neural activities in our central and peripheral nervous systems, and hormonal signals from substances like renin-angiotensin, insulin, glucagon, and melatonin. These quasi-periodic events are superimposed by non-periodic influences, such as environmental conditions and individual behaviors, as well as measurement artifacts or device imprecision. The resulting blood pressure variability (BPV) contains both predictable and unpredictable elements, reflecting the complex interplay between our bodies and the world around us.

The challenge lies in deciphering the meaningful signals from the noise. Clinically, BPV indicates how well our bodies adapt to stress, and specific rhythmic patterns have been linked to the development of cardiovascular diseases (CVD). Understanding these patterns through tools like ambulatory blood pressure monitoring (ABPM) can provide valuable insights into our health.

What is Ambulatory Blood Pressure Monitoring (ABPM) and How Does It Work?

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Ambulatory blood pressure monitoring (ABPM) has become an essential tool for assessing blood pressure variability (BPV) since its introduction in the late 1960s. Advances in biomedical instrumentation and digital signal processing have further increased its use and clinical significance. A recent study by Tadic et al., using data from the Pressioni Arteriose Monitorate E Loro Associazioni (PAMELA) study, highlights the importance of ABPM in investigating the relationship between cognitive function, blood pressure, and BPV in the general population.

In the PAMELA study, cognitive function was evaluated using the Mini-Mental State Examination, with a cutoff of <24 points indicating potential cognitive impairment. ABPM was conducted over 24 hours, with measurements taken every 20 minutes to estimate traditional BPV parameters, such as the standard deviation (SD) and coefficient of variation of systolic and diastolic blood pressures.

  • ABPM Device Placement: Secure the ABPM device comfortably on the patient's non-dominant arm.
  • Cuff Inflation: The cuff automatically inflates at preset intervals throughout the day and night, typically every 20-30 minutes.
  • Data Recording: The device records blood pressure readings and heart rate, storing the data for later analysis.
  • Patient Activity Log: Patients are often asked to keep a diary of their activities, meals, and sleep patterns during the monitoring period.
  • Data Download: After 24 hours, the device is removed, and the data is downloaded to a computer for analysis by a healthcare professional.
Researchers also calculated individual residual variability by summing the squared differences between individual ABPM recordings and the sum of frequency components, accounting for ≥95% of systolic and diastolic pressures SD obtained from population-averaged ABPM recordings. Their findings revealed that individuals with worse cognitive function had higher individual residual variability, unexplained by cyclic patterns, except in those over 75. This supports an inverse relationship between blood pressure and cognitive function, suggesting individual residual variability could be an important clinical follow-up variable.

The Future of Blood Pressure Variability Research

The discussion highlights the clinical utility of ABPM, emphasizing that between-subjects synchronization requires a strict data acquisition protocol. While variations in timestamping can lead to low-pass effects, pre-processing techniques for time-regularization might affect residual variability. The quasi-periodic nature of physiological rhythms suggests that the removed frequencies are the signal, while the residual is noise. However, since these events only explain ~50% of blood pressure SD, other frequency components convey events that could alter BPV. Actual noise leading to higher BPV can stem from manual edition yielding variable blood pressure measurements and device precision. Therefore, there is a signal in the noise correlated with cognitive function.

About this Article -

This article was crafted using a human-AI hybrid and collaborative approach. AI assisted our team with initial drafting, research insights, identifying key questions, and image generation. Our human editors guided topic selection, defined the angle, structured the content, ensured factual accuracy and relevance, refined the tone, and conducted thorough editing to deliver helpful, high-quality information.See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.1111/jch.13430, Alternate LINK

Title: The Circadian Blood Pressure Variability: There Is A Signal In The Noise

Subject: Cardiology and Cardiovascular Medicine

Journal: The Journal of Clinical Hypertension

Publisher: Wiley

Authors: Arthur Sá Ferreira, Felipe Amorim Cunha

Published: 2018-11-14

Everything You Need To Know

1

What does Ambulatory Blood Pressure Monitoring (ABPM) involve, and how does it provide insights into blood pressure patterns?

Ambulatory Blood Pressure Monitoring (ABPM) is a non-invasive method used to measure blood pressure at regular intervals over a 24-hour period. The process involves securing an ABPM device on the patient's non-dominant arm. The cuff automatically inflates at preset intervals, typically every 20-30 minutes, recording blood pressure and heart rate. Patients often keep a diary of their activities, meals, and sleep patterns during monitoring. After 24 hours, the device is removed, and the data is downloaded for analysis by a healthcare professional. ABPM's frequent measurements provide a detailed profile of blood pressure variations, unlike single-point measurements in a clinic, offering a more comprehensive assessment of cardiovascular health.

2

What factors contribute to blood pressure variability (BPV), and how do they interact to influence it?

Blood pressure variability (BPV) arises from a complex interplay of factors, including mechanical forces from breathing, neural activities in the central and peripheral nervous systems, and hormonal signals from substances like renin-angiotensin, insulin, glucagon, and melatonin. Environmental conditions, individual behaviors, measurement artifacts, and device imprecision also contribute to BPV. This variability consists of both predictable and unpredictable elements, reflecting the body's dynamic adaptation to internal and external influences.

3

How was cognitive function and blood pressure variability (BPV) measured and analyzed in the PAMELA study?

The PAMELA study assessed cognitive function using the Mini-Mental State Examination, with a cutoff score of <24 indicating potential cognitive impairment. Ambulatory blood pressure monitoring (ABPM) was conducted over 24 hours, with measurements taken every 20 minutes, to estimate traditional BPV parameters like the standard deviation (SD) and coefficient of variation of systolic and diastolic blood pressures. Researchers also calculated individual residual variability by summing squared differences between individual ABPM recordings and the sum of frequency components, accounting for ≥95% of systolic and diastolic pressures SD obtained from population-averaged ABPM recordings.

4

What is individual residual variability, and what does it signify regarding the relationship between blood pressure and cognitive function?

Individual residual variability, as calculated in studies like PAMELA using Ambulatory Blood Pressure Monitoring (ABPM) data, represents the unexplained variations in blood pressure that cannot be attributed to cyclic patterns or known physiological rhythms. Higher individual residual variability has been associated with worse cognitive function, suggesting it may be an important clinical follow-up variable. This variability reflects 'noise' that isn't explained by typical cardiovascular functions, and its correlation with cognitive decline is a significant area of ongoing research.

5

What are the future research directions for understanding blood pressure variability (BPV) and its implications for health?

Future research in blood pressure variability (BPV) aims to distinguish meaningful signals from noise using Ambulatory Blood Pressure Monitoring (ABPM). While quasi-periodic physiological rhythms explain about 50% of blood pressure standard deviation (SD), other frequency components could alter BPV. Overcoming challenges like variations in timestamping and manual edition is crucial for accurate data acquisition and analysis. Further studies could focus on identifying specific frequency components and external factors that contribute to BPV and their relationship with cognitive function and cardiovascular health.

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