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Entropic analysis of human body's longevity as a function of physical activity level
Inara M Nogueira1, Esly F Costa1,2, Andréa O S Costa1,2
1Programa de Engenharia Mecânica, Universidade Federal de Minas Gerais Av. Presidente Antonio Carlos, 6627, 31270-901 Belo Horizonte, MG, Brazil.
This study revisits thermodynamics models for longevity, finding that increased physical activity may extend life span. It proposes relaxing the cumulative entropy generation limit based on lifestyle and exercise type.
Area of Science:
- Thermodynamics
- Biophysics
- Longevity research
Background:
- Existing thermodynamic models for predicting life span and physical activity's effect on longevity are simplified.
- These models paradoxically suggest reduced lifespan with increased activity, contradicting medical advice.
- There's a need to reconcile thermodynamic principles with the known benefits of exercise for longevity.
Purpose of the Study:
- To re-evaluate and confirm previous thermodynamic models of life span and physical activity.
- To develop an improved phenomenological model relating life span, body's specific entropy generation (SEG-life), and physical activity level.
- To propose a modification to the cumulative entropy generation principle based on lifestyle and exercise.
Main Methods:
- Re-presentation and validation of a previous thermodynamic model.
- Formulation of a simplified phenomenological relationship between life span, SEG-life, and physical activity.
- Model validation across diverse individuals.
Main Results:
- The study confirms previous model results, highlighting discrepancies with medical recommendations.
- A new model is proposed that links life span, SEG-life, and physical activity.
- It is suggested that the cumulative entropy generation limit can be relaxed based on lifestyle and exercise.
Conclusions:
- The established thermodynamic models for longevity require refinement.
- Physical activity's impact on longevity is better understood by relaxing the cumulative entropy generation limit.
- This research offers a new perspective on exercise, entropy, and life span prediction.
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