Determinação do limiar de anaerobiose de idosos saudáveis: comparação entre diferentes métodos

Pozzi, Luiz Guilherme; Melo, Ruth Caldeira de; Quitério, Robison José; Milan, Luís Aparecido; Diniz, Carlos Alberto Ribeiro; Dias, Teresa; Oliveira, L.; Silva, E; Catai, AM

doi:10.1590/s1413-35552006000300013

Cited by 5 publications

(13 citation statements)

References 21 publications

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“…Moreover, the authors considered that the heteroscedastic model fit itself to HR data. In our study, confirming the findings of the referred authors 12,13 , we observed similarity in the AT moment obtained through ventilatory graphic visual analysis and NIRS in healthy elderly men, as well as through mathematical analysis of HS model applied to ventilatory, HR, and HHb values. Temporal similarities between methodologies suggest the validity of using any of these methodologies for determining AT, at a minimum, in individuals with similar characteristics to the cohort assessed.…”

Section: Marães Et Alsupporting

confidence: 91%

“…In the study by Pozzi et al 13 , who compared the Hinkley's mathematical method and the heteroscedastic model to V  CO 2 , HR, and RMS data in healthy elderly individuals, there were no significant differences between mathematical models and graphic visual analysis. Moreover, the authors considered that the heteroscedastic model fit itself to HR data.…”

Section: Marães Et Almentioning

confidence: 94%

“…The heteroscedastic model was applied through a mathematical algorithm developed using R language and environment for statistical computing (http:// www.r-project.org), which determines the changing point of data series of a given variable 13 . This model was applied to HR data collected beat by beat and to V  CO 2 data, respiration by respiration, and calculated in moving mean values every 8 respiratory cycles, as well as to HHb values.…”

Section: Heteroscedastic Mathematical Model (Hs) Applied To the Respomentioning

confidence: 99%

“…Previous laboratory studies show that mathematical models applied to carbon dioxide production (V  CO 2 ) data and root mean square (RMS) of electromyographic signal demonstrate a strong relationship with HR data in apparently healthy subjects 11,12 . In this context, using the heteroscedastic mathematical model applied to data, Pozzi et al 13 asserted that V  CO 2 , HR, and RMS present a strong relationship with graphic visual analysis of ventilatory parameters, still considered the gold standard in AT detection 14 .…”

Section: Introductionmentioning

confidence: 99%

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Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men

Reis¹,

Berton²,

Arena³

et al. 2013

Braz. J. Phys. Ther.

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| Background: Aging leads to low functional capacity and this can be reversed by safe and adequate exercise prescription. Objective: The aim of this study was to identify the anaerobic threshold (AT) obtained from the V-slope method as well as visual inspection of oxyhemoglobin (O 2 Hb) and deoxyhemoglobin (HHb) curves and compare findings with the heteroscedastic (HS) method applied to carbon dioxide production (V  CO 2 ), heart rate (HR), and HHb data in healthy elderly men. A secondary aim was to assess the degree of agreement between methods for AT determination. Method: Fourteen healthy men (61.4±6.3 years) underwent cardiopulmonary exercise testing (CPX) on a cycle ergometer until physical exhaustion. Biological signals collected during CPX included: ventilatory and metabolic variables; spectroscopy quasi-infrared rays -NIRS; and HR through a cardio-frequency meter. Results: We observed temporal equivalence and similar values of power (W), absolute oxygen consumption (V  O 2 -mL/min), relative V  O 2 (mL.Kg -1 .min -1 ), and HR at AT by the detection methods performed. In addition, by the Bland-Altman plot, HR confirmed good agreement between the methods with biases between -1.3 and 3.5 beats per minute. Conclusions: (i) all detection methods were sensitive in identifying AT, including the HS applied to HR and (ii) the methods showed a good correlation in the identification of AT. Thus, these results support HR as valid and readily available parameter in determining AT in healthy elderly men.Keywords: physical therapy; anaerobic threshold; NIRS; cardiopulmonary test; heteroscedastic model. HOW TO CITE THIS ARTICLEReis MS, Berton DC, Arena R, Catai AM, Neder JA, Borghi-Silva A. Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men. Braz J Phys Ther. 2013 Sept-Oct; 17(5):506-515. http://dx

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Section: Marães Et Alsupporting

confidence: 91%

Section: Marães Et Almentioning

confidence: 94%

Section: Heteroscedastic Mathematical Model (Hs) Applied To the Respomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men

Reis¹,

Berton²,

Arena³

et al. 2013

Braz. J. Phys. Ther.

View full text Add to dashboard Cite

show abstract

“…This method is considered as gold standard, since it allows the observation of the moment of loss of linearity of the variables, that is, the expression of the VCO2 curve is superior to that of VO2. 13,14 In this way, the examiner was previously trained by means of a theoretical/practical course of realization and analysis, in order to extract the data of the respiration-breathing platform of the ergometer Vmax (Carefusion®) as PDF file (Adobe Acrobat Document®, Windows 10) and perform the plotting for the EXCEL software (Windows-10), whereby, manually, it would move the LA demarcation course by the graph until the moment of loss of linearity. The Figure 1 represents the ventilatory variables VO2 and VCO2 obtained breathto-breath, as a function of time expressed in seconds, with manual graphical analysis performed by the visual visual method.…”

Section: Methods Of Analysis For the Determination Of The Anaerobiosimentioning

confidence: 99%

Comparison of Different Methods to Determine the Anaerobic Threshold of Transfemoral Amputees Using Prosthesis

Sousa¹

2017

IPMRJ

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IntroductionTransfemoral amputation is a withdrawal of the limb with a cut-off level between the disarticulation of the knee and the hip joint 1 and lower limb amputations cause structural, mechanical and metabolic changes, these changes being forms of adaptation to new body condition. 2 Some metabolic alterations are more scientifically investigated due to their physiological impact, such as metabolic expenditure (use of energy to perform activities or exercise work), oxygen consumption and anaerobic and aerobic thresholds, considering that these variables undergo general and specific modifications, being related to the use of auxiliary mechanisms, prostheses and their compositions. It is known that transfemoral amputees present the need to adapt to their new life condition, and the auxiliary devices require physical effort and increase in ventilation to perform their daily activities, which causes an increase in consumption and oxygen uptake, anaerobic threshold, heart rate, in order to maintain the static and dynamic balance. 3,4 When performing physical exercise, the human body makes changes in different body systems, being these: cardiovascular, hormonal, sanguineous, respiratory and skeletal muscle. 5,6The anaerobic threshold or anaerobic threshold (LA) is the determinant of the balance between lactate production and removal, i.e., the maximum intensity of exercise. Currently, this threshold has been increasingly studied to determine physical perfomance and ventilatory performance, since it presents the peak moment of the glycolytic pathway that causes alterations in the production of lactic acid, considering that studies of VO2 max are showing more and more inconsistency for the quantification of aerobic capacity, being gold standard only for aerobic power. In view of the greater consistency of information obtained through the anaerobic threshold, this has been used not only in scientific articles, but also for measurement Of physical performance, in order to compare according to the age group; For the creation of protocols of physical training and treatment for determination of loads that do not promote risk stress to the cardiovascular system; And to diagnose diseases, in view of the demonstration of failures or absence of oxygen supply. 8,9The LA has a direct interaction with the cardiovascular and respiratory systems, since, when reaching the maximum level of lactate accumulation and intensity in the metabolic and In the musculature, the activity of the autonomic nervous system increases significantly amplifying the parasympathetic and mainly, the sympathetic discharges, in which increases the capitation of oxygen Abstract Introduction: Transfemoral amputation causes cardiopulmonary, muscular and biomechanical changes that affect the physiology of physical exercise. The anaerobic threshold is one of the main indicators of the cardiopulmonary test (CPET), since it is the determinant of the balance between production and lactate removal, that is, the maximum intensity of exercise, thus determining the p...

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Relationship between ventilatory threshold and muscle fiber conduction velocity responses in trained cyclists

Pereira¹,

Júnior²,

Bottaro³

et al. 2013

Journal of Electromyography and Kinesiology

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Determinação do limiar de anaerobiose de idosos saudáveis: comparação entre diferentes métodos

Cited by 5 publications

References 21 publications

Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men

Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men

Comparison of Different Methods to Determine the Anaerobic Threshold of Transfemoral Amputees Using Prosthesis

Relationship between ventilatory threshold and muscle fiber conduction velocity responses in trained cyclists

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