Key result
Frequency-domain HRV correlates with acute blood glucose fluctuations, showing potential as a non-invasive marker.
Why the study?
Monitoring of blood glucose level is constrained by the invasive nature of blood glucose measures.
Can heart rate variability parameters serve as non-invasive markers of blood glucose levels in healthy volunteers?
Observational (n=25)
Can heart rate variability parameters serve as non-invasive markers of blood glucose levels in healthy volunteers?
p-value: p=<0.05
Frequency-domain HRV parameters correlate with acute fluctuations in blood glucose levels, suggesting potential as non-invasive markers.
Should not yet alter glucose monitoring; leaves open HRV parameters as non-invasive markers pending validation.
Currently, monitoring of blood glucose level (BGL) is constrained by the invasive nature of BGL measures. We investigated heart rate variability (HRV) parameters as potential non-invasive markers of BGL. Healthy volunteers (n = 25; aged 27 ± 9 years) uninhibited by regular medications or chronic illness were recruited for this study. BGL and HRV were assessed during fasting (9:00 am), postprandial (12:00 pm), and postabsorptive (3:00 pm) periods using self-monitoring of blood glucose techniques and ten-minute electrocardiogram, respectively. Frequency-domain HRV measures, which estimate contributions of sympathetic and parasympathetic systems to autonomic modulation of the heart, were correlated against BGL data with the following significant (p < 0.05) findings. The change in BGL from fasting to postprandial levels was negatively correlated with fasting low frequency (LF) power and total power (TP). Postprandial BGL was negatively associated with fasting LF and TP, as well as with postprandial LF, high frequency (HF), and TP. The change in BGL from postprandial to postabsorptive levels was positively correlated with fasting LF power, as well as with postprandial LF, HF, and TP. Frequency-domain HRV parameters may be useful in predicting the magnitude and direction of acute fluctuations in BGL, and further research could develop them as non-invasive markers of BGL.
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Jarman et al. (2021) conducted an observational in Healthy volunteers (n=25). Heart rate variability (HRV) monitoring was evaluated on Correlation between frequency-domain HRV measures and blood glucose level (BGL) data (p=<0.05). Frequency-domain heart rate variability parameters were significantly correlated with acute fluctuations in blood glucose levels (p < 0.05), indicating potential as non-invasive markers.
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