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Regulatory System Variance: Vagal Control in Exhaustion Response

Explore evidence of reduced Vagal cardiac control variability in exhausted and high-strain job subjects. Present methods and hypotheses testing the Stress Disequilibrium Theory component based on Regulatory System Variance. Discuss Reduction in Vagal System Regulatory Capacity due to high strain or exhaustion, affecting Adaptive Capacity. Preliminary evidence shows reduced Vagal regulatory system variance in exhausted and high-strain subjects, demanding further study.

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Regulatory System Variance: Vagal Control in Exhaustion Response

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  1. Measuring Exhaustion Response: Example using Vagal Variance Sean Collins

  2. Evidence of Reduced Vagal Cardiac Control Variability in Exhausted Subjects & High Strain Job Subjects • Purpose: • Present methods and propose hypotheses to test a component of the Stress Disequilibrium Theory based on “Regulatory System Variance” • HRV Project Background • Regulatory System Variance • HRV Project Methods • Determination of Exhausted Subjects • Repeated measures ANOVA

  3. Regulatory System Variance: Strain & Exhaustion Hypothesis • High Frequency Variance components of HRV reflect Vagal system activity • Vagal system is a regulator of the cardiac system • Vagal system variance reflects Vagal system capacity to adapt to regulatory demands: Regulatory System Variance – i.e. Ashby’s Requisite Variety • Reduced Control (High Strain) & Exhaustion may lead to a reduction in Vagal system regulatory capacity – and therefore reduced Regulatory System Variance

  4. Determination of Exhausted Subjects • Job Content Questionnaire Exhaustion Items • Unusually tired in the morning • End of the day, completely exhausted mentally and physically • “Most of the time” response required for both items • Four subjects reached pre-determined criteria for “exhaustion” • 3 “exhausted subjects – high strain jobs • Hybrid methodology

  5. Regulatory System Variance – Controlled / Controlled Relationship System Regulation HFP Time Series (Vagal Control) 4 Hours (= 48 Epochs) Beat-to-Beat Variability RR Interval Series 5 – Minutes Frequency Analysis – HFP (.15-.4 Hz) 1 Epoch

  6. Line of Identity Poincaré Plot for Entire Monitoring Period

  7. Poincaré Plot for Low Strain Subject at Work R2 = .552

  8. Poincaré Plot for High Strain Subject at Work R2 = .641

  9. Poincaré Plot for Exhausted Subject at Work R2 = .785

  10. Short Term Variation as Determined by Poincaré Plot Residuals

  11. Repeated Measures ANOVA

  12. Variance – Measurement Methods & Results Shape of Variance in Vagal Control

  13. Variance – Measurement Methods & ResultsData Variance > 1 σ: Vagal Cardiac Regulation

  14. Discussion Limitations • Sample size • Linkage between Reduced Regulatory Variance and disease • Identification of Reduced Regulatory Variance indicating reduced adaptive capacity

  15. Discussion Preliminary evidence of: • Reduced regulatory system variance of the vagal system in exhausted subjects during the workday that lasts into the hours following work • Reduced regulatory system variance of the vagal system in high strain subjects that seems to drop significantly during recovery hours • Clearly requires further study

  16. End of Measuring Exhaustion Response….

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