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Medicina (Kaunas). 2019 Oct 17;55(10). pii: E700. doi: 10.3390/medicina55100700.

Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-Time Physical Activity.

Author information

1
State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania. slusniene.anzela@gmail.com.
2
InMedica, LT-08406 Vilnius, Lithuania. slusniene.anzela@gmail.com.
3
State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania. aleksandras.laucevicius@mf.vu.lt.
4
InMedica, LT-08406 Vilnius, Lithuania. aleksandras.laucevicius@mf.vu.lt.
5
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania. aleksandras.laucevicius@mf.vu.lt.
6
Vilnius University Hospital Santaros Klinikos, Centre of Cardiology and Angiology, LT-08661 Vilnius, Lithuania. aleksandras.laucevicius@mf.vu.lt.
7
InMedica, LT-08406 Vilnius, Lithuania. petras.navickas@gmail.com.
8
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania. petras.navickas@gmail.com.
9
Vilnius University Hospital Santaros Klinikos, Centre of Cardiology and Angiology, LT-08661 Vilnius, Lithuania. petras.navickas@gmail.com.
10
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania. ligita.ryliskyte@santa.lt.
11
Vilnius University Hospital Santaros Klinikos, Centre of Cardiology and Angiology, LT-08661 Vilnius, Lithuania. ligita.ryliskyte@santa.lt.
12
Kaunas University of Technology, LT-44249 Kaunas, Lithuania. vytautas.stankus@ktu.lt.
13
State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania. albinas.stankus@gmail.com.
14
State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania. rokas.navickas@gmail.com.
15
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania. rokas.navickas@gmail.com.
16
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania. ieva.lauceviciene@santa.lt.
17
Vilnius University Hospital Santaros Klinikos, Centre of Rehabilitation, Physical and Sports Medicine, LT-08661 Vilnius, Lithuania. ieva.lauceviciene@santa.lt.
18
Vilnius University, Faculty of Medicine, LT-03101 Vilnius, Lithuania.

Abstract

Background and Objectives: The available research shows conflicting data on the heart rate variability (HRV) in metabolic syndrome (MetS) subjects. The discrepancy suggests a methodical shortcoming: due to the influence of physical activity, the standard measuring of HRV at rest is not comparable with HRV assessment based on 24h Holter monitoring, which is preferred because of its comprehensiveness. To obtain a more reliable measure and to clarify to what extent HRV is altered in MetS, we assessed a 24h HRV before and after the elimination of the influence of physical activity. Materials and Methods: We investigated 69 metabolic syndrome (MetS) and 37 control subjects, aged 50-55. In all subjects, 24h monitoring of electrocardiogram, blood pressure, and actigraphy profiles were conducted. To eliminate the influence of day-time physical activity on RR intervals (RRI), a linear polynomial autoregressive model with exogenous terms (ARX) was used. Standard spectral RRI analysis was performed. Results: Subjects with MetS had blunted HRV; the diurnal SDNN index was reliably lower in the MetS group than in control subjects. The elimination of the influence of physical activity did not reveal a significant HRV change in long-term indices (SDNN, SDANN, and SD2), whilst adjacent RRI values (RMSSD, pNN50, and SD1) and SDNN index significantly increased (p < 0.001). An increase in the latter indices highlighted the HRV difference between the MetS and control groups; a significant (p < 0.001) decrease of all short-term HRV variables was found in the MetS group (p < 0.01), and low-frequency spectral components were less pronounced in the MetS group. Conclusion: The application of a polynomial autoregressive model in 24h HRV assessment allowed for the exclusion of the influence of physical activity and revealed that MetS is associated with blunted HRV, which reflects mitigated parasympathetic tone.

KEYWORDS:

heart rate variability; hypertension; metabolic syndrome; physical activity

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