The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors

Area of Science:

• Cardiology
• Autonomic Nervous System Research
• Public Health

Background:

• Cardiovascular disease (CVD) is a leading global cause of mortality and morbidity.
• Autonomic imbalance, a state of sympathetic hyperactivity and parasympathetic hypoactivity, is implicated in various diseases.
• Heart rate variability (HRV) serves as a quantifiable measure of autonomic function and predictor of mortality.

Purpose of the Study:

• To review the evidence linking heart rate variability (HRV) to cardiovascular disease (CVD) risk factors.
• To explore the role of autonomic imbalance as a potential unifying pathway for CVD development.
• To examine the relationship between HRV and modifiable/non-modifiable CVD risk factors.

Main Methods:

• Literature review of studies investigating HRV and CVD risk factors.
• Analysis of evidence connecting autonomic function to hypertension, obesity, family history, and work stress.
• Synthesis of findings on the predictive value of HRV for CVD risk.

Main Results:

• Decreased HRV often precedes the development of established CVD risk factors.
• Lowering CVD risk profiles is generally associated with improvements in HRV.
• Autonomic imbalance, reflected by HRV, is strongly associated with increased CVD risk and mortality.

Conclusions:

• Autonomic imbalance may represent a final common pathway for various conditions leading to CVD.
• HRV is a valuable biomarker for assessing autonomic dysfunction and CVD risk.
• A model of autonomic imbalance offers a unifying framework for understanding CVD etiology and the impact of risk factors.