Investigating heart rate variability as a novel non-invasive measure of blood glucose level in type 1 and type 2 diabetes.

Jarman, Luke

Investigating heart rate variability as a novel non-invasive measure of blood glucose level in type 1 and type 2 diabetes.

Jarman, Luke

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Jarman, Luke
dc.date.accessioned	2023-07-06T02:25:26Z
dc.date.available	2023-07-06T02:25:26Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/171246
dc.description	University of Technology Sydney. Faculty of Science.	en_US.UTF-8
dc.description.abstract	Diabetes mellitus is costly to both individuals and health systems and affects almost 500 million adults worldwide. The scientific literature strongly advocates that maintaining blood glucose level (BGL) within the optimal range as the best means of reducing diabetes complications and improving quality of life and health outcomes for those living with diabetes. Optimal management and monitoring of BGL may be significantly improved by combining data on an individual’s heart rate variability (HRV) – a non-invasive autonomic marker – with data from currently-available invasive glucose monitoring systems. As part of this PhD candidature and thesis, groups of people with type 1 diabetes, type 2 diabetes, or without any chronic illness, were recruited to investigate correlations between HRV measures and BGL. Correlation analysis demonstrated that multiple different HRV measures were significantly and inversely correlated with BGL measured in a fasting and postprandial state. Multiple linear regression analyses determined that HRV measures account for 27-55% of the total variation in BGL measured in different metabolic states. However, further research is needed. Continuous glucose monitoring (CGM) remains the gold-standard for measurement of BGL in diabetes, however HRV represents a promising area which can add to detection of diabetes and glycaemic events in tandem with CGM.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/171246/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2023 Luke Jarman
dc.rights	au.edu.uts.lib/nph
dc.title	Investigating heart rate variability as a novel non-invasive measure of blood glucose level in type 1 and type 2 diabetes.	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Diabetes mellitus is costly to both individuals and health systems and affects almost 500 million adults worldwide. The scientific literature strongly advocates that maintaining blood glucose level (BGL) within the optimal range as the best means of reducing diabetes complications and improving quality of life and health outcomes for those living with diabetes. Optimal management and monitoring of BGL may be significantly improved by combining data on an individual’s heart rate variability (HRV) – a non-invasive autonomic marker – with data from currently-available invasive glucose monitoring systems. As part of this PhD candidature and thesis, groups of people with type 1 diabetes, type 2 diabetes, or without any chronic illness, were recruited to investigate correlations between HRV measures and BGL. Correlation analysis demonstrated that multiple different HRV measures were significantly and inversely correlated with BGL measured in a fasting and postprandial state. Multiple linear regression analyses determined that HRV measures account for 27-55% of the total variation in BGL measured in different metabolic states. However, further research is needed. Continuous glucose monitoring (CGM) remains the gold-standard for measurement of BGL in diabetes, however HRV represents a promising area which can add to detection of diabetes and glycaemic events in tandem with CGM.

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http://hdl.handle.net/10453/171246