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

Despite the various standard non-linear measurements used in autonomic modulation (AM) assessments usually being applied to long time-series, such analyses can sometimes be applied to shorter term series. To overcome this disadvantage, chaotic global methods were formulated by putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method can be useful to investigate the complexity of the health condition after resistance training protocols, as a therapeutic intervention in AM in metabolic syndrome individuals (MetS). 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) of both sexes aged 40 to 60 years were randomly divided into two programs; a group of 12 people served as a control group. Both groups performed 30 sessions of training. AM was assessed in the 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 chaotic forward parameter (CFP)1 (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 increased chaos, and non-linear analysis enabled discrimination of AM after interventions when compared to the control group.

Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains

The aim of the present study was to compare heart rate variability (HRV) at rest and during exercise using a temporal series obtained with the Polar S810i monitor and a signal from a LYNX® signal conditioner (BIO EMG 1000 model) with a channel configured for the acquisition of ECG signals. Fifteen healthy subjects aged 20.9 ± 1.4 years were analyzed. The subjects remained at rest for 20 min and performed exercise for another 20 min with the workload selected to achieve 60 percent of submaximal heart rate. RR series were obtained for each individual with a Polar S810i instrument and with an ECG analyzed with a biological signal conditioner. The HRV indices (rMSSD, pNN50, LFnu, HFnu, and LF/HF) were calculated after signal processing and analysis. The unpaired Student t-test and intraclass correlation coefficient were used for data analysis. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV at rest and during exercise. The intraclass correlation coefficient demonstrated satisfactory correlation between the values obtained by the devices at rest (pNN50 = 0.994; rMSSD = 0.995; LFnu = 0.978; HFnu = 0.978; LF/HF = 0.982) and during exercise (pNN50 = 0.869; rMSSD = 0.929; LFnu = 0.973; HFnu = 0.973; LF/HF = 0.942). The calculation of HRV values by means of temporal series obtained from the Polar S810i instrument appears to be as reliable as those obtained by processing the ECG signal captured with a signal conditioner.

Influência do biofeedback respiratório associado ao padão quiet breathing sobre a função pulmonar e hábitos de respiradores bucais funcionais / Influence of respiratory biofeedback associated with a quiet breathing pattern on the pulmonary function and habits of functional mouth breathers

OBJETIVOS: Avaliar os efeitos da utilização do biofeedback respiratório (BR) associado ao padrão quiet breathing sobre a perimetria torácica, função pulmonar, força dos músculos respiratórios e os seguintes hábitos de respiradores bucais funcionais (RBF): vigília de boca aberta, boca aberta durante o sono, baba no travesseiro, despertar difícil, ronco e sono inquieto. MÉTODOS: Foram avaliadas 20 crianças RBF, as quais foram submetidas a 15 sessões de BR por meio do biofeedback pletsmovent (MICROHARD® V1.0), o qual proporciona o biofeedback dos movimentos tóraco-abdominais. Perimetria torácica, espirometria e medidas das pressões respiratórias máximas estáticas foram realizadas antes e após a terapia. Questões respondidas pelos responsáveis foram utilizadas para avaliar os hábitos dos RBF. Os dados foram analisados por meio de teste t de Student para dados pareados e testes não paramétricos. RESULTADOS: O uso do BR associado ao padrão quiet breathing não produziu alterações significativas na perimetria torácica e nos valores de volume expiratório forçado no primeiro segundo (VEF1), capacidade vital forçada (CVF), pico de fluxo expiratório (PFE), índice de Tiffeneau (IT) e na pressão expiratória máxima (PEmáx). Entretanto, a pressão inspiratória máxima (PImáx) apresentou diferença estatisticamente significativa (-53,6 ± 2,9 cmH2O vs. -65,0 ± 6,0 cmH2O; p< 0,05) e ocorreram mudanças significativas nos hábitos avaliados. CONCLUSÃO: Os resultados permitem concluir que o BR associado ao padrão quiet breathing melhora a força da musculatura inspiratória e hábitos em RBF, podendo ser, portanto, utilizado como uma das formas de terapia nesses indivíduos.

OBJECTIVE: To evaluate the effects of using respiratory biofeedback associated with a quiet breathing pattern, on chest circumference, pulmonary function, respiratory muscle strength and the following functional mouth-breathing habits: watching things with mouth open, sleeping with mouth open, dribbling on the pillow, difficulty in waking up, snoring and restlessness during sleep. METHOD: Twenty functional mouth-breathing children were evaluated. They underwent 15 sessions of respiratory biofeedback by means of the biofeedback pletsmovent (MICROHARD® V1.0), which provided biofeedback on thoracoabdominal movements. Chest circumference, spirometry and maximum static respiratory pressures were determined before and after the therapy. The adults responsible for these children were asked questions about the children's mouth-breathing habits. Student's t test for paired data and non-parametric tests were used to analyze the data. RESULTS: The use of respiratory biofeedback in association with a quiet breathing pattern did not produce significant alterations in chest circumference or in forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), Tiffeneau index (TI) or maximal expiratory pressure (MEP). However, there was a significant difference in maximal inspiratory pressure (MIP) (-53.6 ± 2.9 cmH2O vs. -65.0 ± 6.0 cmH2O; p< 0.05) and there were significant changes in the evaluated habits. CONCLUSION: The results allow the conclusion that respiratory biofeedback associated with a quiet breathing pattern improves the inspiratory muscle strength and habits of functional mouth-breathers. It can therefore be used as a therapeutic method for such individuals.