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Changes in heart beat timing: reactivity, resetting, or perturbation?
J R Jennings1, M W van der Molen, R J Somsen
1University of Pittsburgh, Western Psychiatric Institute and Clinic, PA 15213, USA. jenningsjr@msx.upmc.edu
Biological Psychology
|June 13, 1998
Summary
Cardiovascular reactivity, a common hypothesis in behavioral medicine, may be incompletely measured by current models. New hypotheses suggest other reactivity forms are crucial for understanding cardiovascular disease risk.
Area of Science:
- Behavioral Medicine
- Cardiovascular Physiology
- Pathophysiology
Background:
- Cardiovascular reactivity is hypothesized as a risk factor for cardiovascular disease.
- Current measurement models for cardiovascular reactivity are simple, tracking increases during stress and return to baseline.
- This study posits that existing models are incomplete and other reactivity forms are relevant.
Purpose of the Study:
- To challenge the simplicity of current cardiovascular reactivity measurement models.
- To propose a new pathophysiological hypothesis for cardiovascular disease.
- To explore how models of normal function influence the measurement of pathophysiology.
Main Methods:
- Discussion of a cyclic heart beat generation mechanism.
- Analysis of phase-dependent stimulation sensitivity in cardiac function.
- Development of implications for measurement based on a novel hypothesis.
Main Results:
- The standard model of cardiovascular reactivity (stress-induced increase and return to baseline) is deemed insufficient.
- A new hypothesis suggests cardiac function is sensitive to stimulation only during specific phases of its cycle.
- Understanding normal function models is key to identifying relevant pathophysiological measures.
Conclusions:
- Existing models of cardiovascular reactivity may overlook critical aspects relevant to cardiovascular disease.
- A phase-sensitive cardiac cycle mechanism offers a new perspective on pathophysiology.
- Refined models of normal physiological function are essential for accurate measurement in disease research.