Exercise is widely recognized for its role in the health management and prevention of several chronic diseases. Exercise is considered as a stimulus in the form of physical stress to which a group of anatomical structures in the human body responds by generating a stress response that enables certain physiological modifications essential for restoring systemic homeostasis. A major component of the response is produced through the complex hypothalamic-pituitary-adrenal (HPA) axis mechanism that results in the release of cortisol which then intercedes with the effects of the stimulus. To investigate how cortisol helps the body adapt to this physical stress it is necessary to gain deep insight into the cortisol response mechanism. However, this is a complex mechanism, so to better understand the mechanics and to be able to analyze complex data, mathematical models are used. Various mathematical models have already been developed that describe different metabolic responses to exercise but to date, to my knowledge, none of these existing models has illustrated the HPA axis response mechanism, particularly cortisol response to physical exercise. Therefore, I have developed a mathematical model that describes cortisol variations on a normal day in the absence of any form of stress and on the day of exercise. The developed cortisol response model could fit simulation to experimental data and also passed the χ2- statistical test. Additionally, the model has been validated on different cortisol experimental data with satisfying results. At last, considering the positive outcome of this mathematical model, it could be used as a groundwork for developing a comprehensive model which can describe other metabolic processes response to exercise such as glucose metabolism together with the cortisol response mechanism in the future.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-185343 |
| Date | January 2022 |
| Creators | Honnal Venkatesh, Arpitha |
| Publisher | Linköpings universitet, Institutionen för medicinsk teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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