Leon J Rothberg1, Ty Lees1, Roderick Clifton-Bligh2, Sara Lal1. 1. 1 Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney , Broadway, New South Wales, Australia . 2. 2 Medicine, Northern Clinical School, Kolling Institute of Medical Research , Sydney, New South Wales, Australia .
Abstract
BACKGROUND: Diabetes mellitus (DM) is a global metabolic epidemic associated with numerous adverse complications. Invasive finger prick tests or invasive monitors are currently the most common means of monitoring and controlling blood glucose levels (BGLs). Heart rate variability (HRV) is a noninvasive measure of the autonomic nervous system, and its dynamic physiological nature may provide an alternative means of blood glucose monitoring. However, the relationship between BGL and HRV parameters remains relatively unknown. MATERIALS AND METHODS: Thirty-two participants with diabetes (39.97 ± 17.21 years of age) and 31 without diabetes (27.87 ± 10.55 years of age) participated in the current study. Fasting preceded a 10-min three-lead electrocardiogram (ECG), which was followed by a finger prick blood glucose assessment. Following this, a regular meal was consumed, and 30 min after ingestion, a second postprandial 10-min ECG was obtained, and blood glucose assessment was conducted. RESULTS: Low-frequency (LF) power, high-frequency (HF) power, and total power (TP) of HRV were negatively associated with BGL in participants with DM. Additionally, the ratio of LF to HF was positively correlated with BGL. Duration of DM was also associated with multiple HRV parameters, with negative associations to both LF and HF parameters as well as TP. CONCLUSIONS: This study demonstrates links between specific HRV variables and BGL. In the future the dynamic nature of HRV could provide a unique and real-time method for monitoring BGL, for continuous noninvasive prediction and/or management of DM.
BACKGROUND:Diabetes mellitus (DM) is a global metabolic epidemic associated with numerous adverse complications. Invasive finger prick tests or invasive monitors are currently the most common means of monitoring and controlling blood glucose levels (BGLs). Heart rate variability (HRV) is a noninvasive measure of the autonomic nervous system, and its dynamic physiological nature may provide an alternative means of blood glucose monitoring. However, the relationship between BGL and HRV parameters remains relatively unknown. MATERIALS AND METHODS: Thirty-two participants with diabetes (39.97 ± 17.21 years of age) and 31 without diabetes (27.87 ± 10.55 years of age) participated in the current study. Fasting preceded a 10-min three-lead electrocardiogram (ECG), which was followed by a finger prick blood glucose assessment. Following this, a regular meal was consumed, and 30 min after ingestion, a second postprandial 10-min ECG was obtained, and blood glucose assessment was conducted. RESULTS: Low-frequency (LF) power, high-frequency (HF) power, and total power (TP) of HRV were negatively associated with BGL in participants with DM. Additionally, the ratio of LF to HF was positively correlated with BGL. Duration of DM was also associated with multiple HRV parameters, with negative associations to both LF and HF parameters as well as TP. CONCLUSIONS: This study demonstrates links between specific HRV variables and BGL. In the future the dynamic nature of HRV could provide a unique and real-time method for monitoring BGL, for continuous noninvasive prediction and/or management of DM.
Authors: Christopher L Chapman; Emma L Reed; Morgan L Worley; Leonard D Pietrafesa; Paul J Kueck; Adam C Bloomfield; Zachary J Schlader; Blair D Johnson Journal: Am J Physiol Regul Integr Comp Physiol Date: 2021-02-03 Impact factor: 3.619
Authors: Elena Daskalaki; Anne Parkinson; Nicola Brew-Sam; Md Zakir Hossain; David O'Neal; Christopher J Nolan; Hanna Suominen Journal: J Med Internet Res Date: 2022-04-08 Impact factor: 7.076