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Predictors of Cardiac Autonomic Dysfunction in Obesity-Related Hypertension
Aqsa Mujaddadi1, Saima Zaki1, Majumi M Noohu1
1Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.
Summary
Cardiac Autonomic Dysfunction (CAD) in obesity-related hypertension is predicted by resting heart rate and body fat percentage. Lowering these factors may reduce cardiovascular risk in affected individuals.
Area of Science:
- Cardiology
- Metabolic Health
- Autonomic Neuroscience
Background:
- Cardiac Autonomic Dysfunction (CAD) is a significant, yet often overlooked, cardiovascular risk factor in individuals with obesity-related hypertension.
- Pathophysiological mechanisms underlying CAD onset and progression in this population remain unclear.
Purpose of the Study:
- To identify potential predictors of Cardiac Autonomic Dysfunction (CAD) specifically within the context of obesity-related hypertension.
- To elucidate the relationship between physiological markers and the presence of CAD.
Main Methods:
- Seventy-two participants with obesity-related hypertension underwent comprehensive assessments, including cardiac autonomic function tests, body composition analysis, and biochemical evaluations.
- Participants were classified as CAD-positive or CAD-negative using Ewing's criteria.
- Univariate and multivariate logistic regression analyses were employed to identify predictors of CAD, adjusting for relevant covariates.
Main Results:
- Multivariate analysis identified resting heart rate (HRrest) and percentage body fat (BF%) as significant independent predictors of CAD.
- Optimal cut-off values were determined: HRrest > 74.1 bpm and BF% > 33.6% were associated with increased CAD risk.
- Variance inflation factors (VIF) were below the threshold of 3, indicating no significant multicollinearity.
Conclusions:
- Resting heart rate and body fat percentage are key independent predictors of Cardiac Autonomic Dysfunction in obesity-related hypertension.
- Therapeutic interventions targeting HRrest below 74.1 bpm and BF% below 33.6% may help mitigate CAD risk.
- Further research is needed to establish causality and explore additional confounding variables.
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