Journal Article


Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome

Abstract

Besides some non-linear measurements used in autonomic modulation (AM) analysis can be suitable using short term series, they usually depend on long time-series of data. To transpose this, chaotic global methods were formulated, putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method to investigate the complexity of the health condition after resistance training protocols, used as a therapeutic intervention, on AM in metabolic syndrome individuals (MetS) is important. This study aimed to compare the effects of two resistance training programs (conventional vs. functional) in MetS using nonlinear analysis of AM. MetS subjects (n=50), both sexes, aged 40 to 60 years were randomized between two programs. Also, there was a control group (n=12). Both groups performed 30 sessions of training. AM was accessed in chaos domain by chaotic global techniques. The main results showed that both resistance training, functional and conventional, increased chaos when compared to the control group, respectively observed by CFP1 (13.9±17.9 vs. 12.8±14.4 vs. -2.23±7.96; p≤0.05) and CFP3 (15.4±19.8 vs. 21.9±13.2 vs. -4.82±11.4; p≤0.05). In addition, 30 sessions of both resistance programs increase chaos, and nonlinear analysis enables discriminates AM after interventions when compared to control group.

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Authors

Turri-Silva, N
Garner, DM
Moosavi, S
Ricci-Vitor , AL
Christofaro, DGD
Junior, JN
Vanzella, LM
Vanderlei, LCM

Oxford Brookes departments

Faculty of Health and Life Sciences\Department of Biological and Medical Sciences

Dates

Year of publication: 2018
Date of RADAR deposit: 2018-05-30


Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License


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