Alterations in heart rate variability during everyday life are linked to insulin resistance. A role of dominating sympathetic over parasympathetic nerve activity?. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Svensson, Maria; Lindmark, Stina; Wiklund, Urban; Rask, Peter; Karlsson, Marcus; Myrin, Jan; Kullberg, Joel; Johansson, Lars; Eriksson, Jan
• Is Part Of: Cardiovascular diabetology. Volume 15:Issue 1(2016)
• Page Start: 1
• Page End: 9
• Publication Date: 2016-12
• Subjects: Heart rate variability -- Spectral analysis -- Autonomic nervous system -- Insulin sensitivity -- Type 2 diabetes; Diabetes -- Complications -- Periodicals; Cardiovascular system -- Diseases -- Complications -- Periodicals; Cardiovascular system -- Diseases -- Prevention -- Periodicals; 616.462
• DOI: 10.1186/s12933-016-0411-8
• Languages: English
• ISSNs: 1475-2840

Abstract

Abstract Aims To evaluate the role of the autonomic nervous system (ANS) in the development of insulin resistance (IR) and assess the relationship between IR and activity of ANS using power spectrum analysis of heart rate variability (HRV). Subjects and methods Twenty-three healthy first-degree relatives of patients with type 2 diabetes (R) and 24 control subjects without family history of diabetes (C) group-matched for age, BMI and sex were included. Insulin sensitivity (M value) was assessed by hyperinsulinemic (56 mU/m2 /min) euglycemic clamp. Activity of the ANS was assessed using power spectrum analysis of HRV in long-term recordings, i.e., 24-h ECG monitoring, and in short-term recordings during manoeuvres activating the ANS. Computed tomography was performed to estimate the amount and distribution of abdominal adipose tissue. Results Insulin sensitivity (M value, mg/kg lbm/min) did not differ significantly between the R and C groups. Total spectral power (Ptot ) and very low-frequency (PVLF ) power was lower in R than C during 24 h ECG-recordings (p = 0.02 and p = 0.03). The best fit multiple variable linear regression model (r2 = 0.37, p < 0.001 for model) indicated that body composition (BMI) and long-term low to high frequency (LF/HF) power ratio (std β = −0.46, p = 0.001 and std β = −0.28, p = 0.003, respectively) were significantly and independently associated with the M value. Conclusion Altered heart rate variability, assessed by power spectrum analysis, during everyday life is linked to insulin resistance. The data suggest that an increased ratio of sympathetic to parasympathetic nerve activity, occurring via both inherited and acquired mechanisms, could potentially contribute to the development of type 2 diabetes.