Fractal correlation of heart rate variability in obese children
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Data
2010-06-24
Autores
Marques Vanderlei, Luiz Carlos [UNESP]
Pastre, Carlos Marcelo [UNESP]
Freitas Junior, Ismael Forte [UNESP]
de Godoy, Moacir Fernandes
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Resumo
Background: The loss of variability and fractal properties in the heart rate is related to greater morbidity and mortality rates.Objective: The aim of the present study was to analyze heart rate dynamics in obese children by measuring short and long-term fractal exponents and heart rate variability (HRV) indices.Materials and methods: 112 male and female children aged 8 to 12 years were divided into two groups based on body mass index: obese (n = 51) and normal weight range (n = 61). Heart rate was monitored beat-to-beat in the dorsal decubitus position for 20 min, analyzing the low frequency (LF) and high frequency (HF) spectral indices in normalized units and ms(2) as well as short and long-term fractal exponents (alpha-1 and alpha-2) of the detrended fluctuation analysis (DFA). The non-paired Student's t-test and Mann Whitney test were used for the statistical analysis, with the level of significance set at P <= 0.05.Results: The following were lower in the obese children: alpha-1 exponent value (0.930 +/- 0.14 vs. 0.992 +/- 0.11; P = 0.012), LF index (219.0 vs. 361.0; P = 0.001) and HF index (175.0 vs. 227.0; P = 0.019) in ms(2). No significant differences between groups were found for the alpha-2 exponent, LF and HF indices in normalized units or LF/HF ratio.Conclusion: The obese children exhibited a reduction in short-term fractal correlation properties in heart frequency dynamics associated to a reduction in both sympathetic and parasympathetic activities, thereby demonstrating a need for early treatment for these children in order to avoid future complications. (C) 2010 Elsevier B.V. All rights reserved.
Descrição
Palavras-chave
Obesity, Children, Autonomous nervous system, Heart rate variability, Fractal
Como citar
Autonomic Neuroscience-basic & Clinical. Amsterdam: Elsevier B.V., v. 155, n. 1-2, p. 125-129, 2010.