heart rate variability (HRV), a study published online in Diabetes Care has
suggested, may be related to risk for incident diabetes in young Asian adults.

Young Lee,
from Sungkyunkwan University in Seoul, South Korea, and colleagues assessed
whether altered HRV could predict the risk for diabetes among 54,075 adults
without diabetes who underwent three-minute HRV measurement during health check-ups
between 2011 and 2014 with follow-up through 2017.

researchers found that during follow-up, 1,369 individuals were diagnosed with
diabetes. In the group with diabetes, both time and frequency domain variables
were lower, with the exception of those with normalized low-frequency (LF)
power and the LF-to-high frequency (HF) ratio.

As the
standard deviation of the normal-to-normal interval, root mean square
differences of successive normal-to-normal interval, and normalized HF tertiles
increased, the risk for diabetes decreased (hazard ratios [HRs] of tertile 3:
0.81, 0.76, and 0.78, respectively), whereas the risk for diabetes increased in
the case of heart rate, normalized LF, and LF/HF ratios (HRs of tertile 3:
1.41, 1.32, and 1.31, respectively) when adjusting for age, sex, body mass
index, smoking, drinking, systolic blood pressure, lipid level, C-reactive
protein, and homeostatic model assessment of insulin resistance.

HRV, especially decreased vagal activity and deviation in sympathovagal
imbalance to sympathetic activity,” the authors wrote, “might precede incident


et al: Decreased Vagal Activity and Deviation in Sympathetic Activity Precedes
Development of Diabetes;