The Effects of Physical Fitness and Body Composition on Oxygen Consumption and Heart Rate Recovery After High-Intensity Exercise

The aim of this study was to investigate the potential relationship between excess post-exercise oxygen consumption (EPOC), heart rate recovery (HRR) and their respective time constants (tvo(2) and t(HR)) and body composition and aerobic fitness (VO(2)max) variables after an anaerobic effort. 14 professional cyclists (age = 28.4 +/- 4.8 years, height = 176.0 +/- 6.7 cm, body mass = 74.4 +/- 8.1 kg, VO(2)max = 66.8 +/- 7.6 mL. kg(-1) . min(-1)) were recruited. Each athlete made 3 visits to the laboratory with 24h between each visit. During the first visit, a total and segmental body composition assessment was carried out. During the second, the athletes undertook an incremental test to determine VO(2)max. In the final visit, EPOC (15-min) and HRR were measured after an all-out 30s Wingate test. The results showed that EPOC is positively associated with % body fat (r = 0.64), total body fat (r = 0.73), fat-free mass (r = 0.61) and lower limb fat-free mass (r = 0.55) and negatively associated with HRR (r = - 0.53, p < 0.05 for all). HRR had a significant negative correlation with total body fat and % body fat (r = - 0.62, r = - 0.56 respectively, p < 0.05 for all). These findings indicate that VO(2)max does not influence HRR or EPOC after high-intensity exercise. Even in short-term exercise, the major metabolic disturbance due to higher muscle mass and total muscle mass may increase EPOC. However, body fat impedes HRR and delays recovery of oxygen consumption after effort in highly trained athletes.

Indicadores cardiovasculares em repouso e durante um teste incremental em jovens do sexo masculino

O presente estudo comparou valores de glicemia, frequência cardíaca em repouso e durante exercício, além da composição corporal entre hipertensos e normotensos. A amostra foi composta por 32 jovens do sexo masculino, com média de idade de 22,6 anos. Inicialmente, aferiu-se a pressão arterial, para divisão em dois grupos: hipertensos e normotensos. Posteriormente foram mensurados, glicemia em jejum, impedância bioelétrica, antropometria, e a frequência cardíaca no repouso, durante o teste de esforço máximo e na fase de recuperação. A análise estatística foi composta pelo teste t- Student e análise de variância para medidas repetidas two-way, entre os grupos. O valor de significância adotado foi p = 0,05. Os dados analisados mostraram que indivíduos hipertensos apresentam maiores índices metabólicos e valores hemodinâmicos do que indivíduos normotensos, sendo estes indicadores de risco cardiovascular.

A Simple Approach to Assess VT During a Field Walk Test

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Validity of critical frequency test for measuring table tennis aerobic endurance through specific protocol

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Protocols for hyperlactatemia induction in the lactate minimum test adapted to swimming rats

The lactate minimum test (LACmin) has been considered an important indicator of endurance exercise capacity and a single session protocol can predict the maximal steady state lactate (MLSS). The objective of this study was to determine the best swimming protocol to induce hyperlactatemia in order to assure the LACmin in rats (Rattus norvegicus), standardized to four different protocols (P) of lactate elevation. The protocols were PI: 6 min of intermittent jumping exercise in water (load of 50% of the body weight - bw); P2: two 13% bw load swimming bouts until exhaustion (thin); P3: one thin 13% bw load swimming bout; and P4: two 13% bw load swimming bouts (1st 30 s, 2nd to thin), separated by a 30 s interval. The incremental phase of LACmin beginning with initial loads of 4% bw, increased in 0.5% at each 5 min. Peak lactate concentration was collected after 5, 7 and 9 min (mmol L-1) and differed among the protocols P 1 (15.2 +/- 0.4, 14.9 +/- 0.7, 14.8 +/- 0.6) and P2 (14.0 +/- 0.4, 14.9 +/- 0.4, 15.5 +/- 0.5) compared to P3 (5.1 +/- 0.1, 5.6 +/- 0.3, 5.6 +/- 0.3) and P4 (4.7 +/- 0.2, 6.8 +/- 0.2, 7.1 +/- 0.2). The LACmin determination success rates were 58%, 55%, 80% and 91% in P1, P2, P3 and P4 protocols, respectively. The MLSS did not differ from LACmin in any protocol. The LACmin obtained from P4 protocol showed better assurance for the MLSS identification in most of the tested rats. (c) 2007 Elsevier B.V. All rights reserved.

Effects of Cold Water Immersion and Active Recovery on Post-Exercise Heart Rate Variability

The aim of the present study was to investigate the potential benefits of cold water immersion (CWI) and active recovery (AR) on blood lactate concentration ([Lac]) and heart rate variability (HRV) indices following high-intensity exercise. 20 male subjects were recruited. on the first visit, an incremental test was performed to determine maximal oxygen consumption and the associated speed (MAS). The remaining 3 visits for the performance of constant velocity exhaustive tests at MAS and different recovery methods (6 min) were separated by 7-day intervals [randomized: CWI, AR or passive recovery (PR)]. The CWI and AR lowered [Lac] (p < 0.05) at 11, 13 and 15 min after exercise cessation in comparison to PR. There was a 'time' and 'recovery mode' interaction for 2 HRV indices: standard deviation of normal R-R intervals (SDNN) (partial eta squared = 0.114) and natural log of low-frequency power density (lnLF) (partial eta squared = 0.090). CWI presented significantly higher SDNN compared to PR at 15 min of recovery (p < 0.05). In addition, greater SDNN values were found in CWI vs. AR during the application of recovery interventions, and at 30 and 75 min post-exercise (p < 0.05 for all differences). The lnLF during the recovery interventions and at 75 min post-exercise was greater using CWI compared with AR (p < 0.05). For square root of the mean of the sum of the squares of differences between adjacent R-R intervals (RMSSD) and natural log of high-frequency power density (lnHF), a moderate effect size was found between CWI and PR during the recovery interventions and at 15 min post-exercise. Our findings show that AR and CWI offer benefits regarding the removal of [Lac] following high-intensity exercise. While limited, CWI results in some improvement in post-exercise cardiac autonomic regulation compared to AR and PR. Further, AR is not recommended if the aim is to accelerate the parasympathetic reactivation.

Effect of Cycling Exercise at Different Pedal Cadences on Subsequent Muscle Strength

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The Positive Effects of Priming Exercise on Oxygen Uptake Kinetics and High-Intensity Exercise Performance Are Not Magnified by a Fast-Start Pacing Strategy in Trained Cyclists

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Reliability of Cardiorespiratory Parameters During Cycling Exercise Performed at the Severe Domain in Active Individuals

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Type 2 Diabetes Elicits Lower Nitric Oxide, Bradykinin Concentration and Kallikrein Activity Together with Higher DesArg(9)-BK and Reduced Post-Exercise Hypotension Compared to Non-Diabetic Condition

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Prior Heavy-Intensity Exercise's Enhancement of Oxygen-Uptake Kinetics and Short-Term High-Intensity Exercise Performance Independent of Aerobic-Training Status

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The slope of the VO2 slow component is associated with exercise intolerance during severe-intensity exercise

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Manipulation effects of prior exercise intensity feedback by the Borg scale during open-loop cycling

Objective To verify the effects of exercise intensity deception by the Borg scale on the ratings of perceived exertion (RPE), heart rate (HR) and performance responses during a constant power output open-loop exercise. Methods Eight healthy men underwent a maximal incremental test on a cycle ergometer to identify the peak power output (PPO) and heart rate deflection point (HRDP). Subsequently, they performed a constant power output trial to exhaustion set at the HRDP intensity, in deception (DEC) and informed (INF) conditions: DEC-subjects were told that they would be cycling at an intensity corresponding to two categories below the RPE quantified at the HRDP; INF-subjects were told that they would cycle at the exact intensity corresponding to the RPE quantified at the HRDP. Results The PPO and power output at the HRDP obtained in maximal incremental tests were 247.5 +/- 32.1 W and 208.1 +/- 27.1 W, respectively. No significant difference in the time to exhaustion was found between DEC (525 +/- 244 s) or INF (499 +/- 224 s) trials. The slope and the first and second measurements of the RPE and HR parameters showed no significant difference between trials. Conclusions Psychophysiological variables such as RPE and HR as well as performance were not affected when exercise intensity was deceptively manipulated via RPE scores. This may suggest that unaltered RPE during exercise is a regulator of performance in this open-loop exercise.

Acute Cardiorespiratory and Metabolic Responses During Resistance Exercise in the Lactate Threshold Intensity

The aims were both to determine lactate and ventilatory threshold during incremental resistance training and to analyze the acute cardiorespiratory and metabolic responses during constant-load resistance exercise at lactate threshold (LT) intensity. Ten healthy men performed 2 protocols on leg press machine. The incremental test was performed to determine the lactate and ventilatory thresholds through an algorithmic adjustment method. After 48 h, a constant-load exercise at LT intensity was executed. The intensity of LT and ventilatory threshold was 27.1 +/- 3.7 and 30.3 +/- 7.9% of 1RM, respectively (P=0.142). During the constant-load resistance exercise, no significant variation was observed between set 9 and set 15 for blood lactate concentration (3.3 +/- 0.9 and 4.1 +/- 1.4 mmol.L-1, respectively. P=0.166) and BORG scale (11.5 +/- 2.9 and 13.0 +/- 3.5, respectively. P=0.783). No significant variation was observed between set 6 and set 15 for minute ventilation (19.4 +/- 4.9 and 22.4 +/- 5.5L. min(-1), respectively. P=0.091) and between S3 and S15 for VO2 (0.77 +/- 0.18 and 0.83 +/- 0.16L. min(-1), respectively. P=1.0). Constant-load resistance exercise at LT intensity corresponds to a steady state of ventilatory, cardio-metabolic parameters and ratings of perceived exertion.

Ottimizzazione del consumo dei grassi durante esercizio fisico: studio di un test per il target mirato di allenamento individuale

Il primo studio ha verificato l'affidabilità del software Polimedicus e gli effetti indotti d'allenamento arobico all’intensità del FatMax. 16 soggetti sovrappeso, di circa 40-55anni, sono stati arruolati e sottoposti a un test incrementale fino a raggiungere un RER di 0,95, e da quel momento il carico è stato aumentato di 1 km/ h ogni minuto fino a esaurimento. Successivamente, è stato verificato se i valori estrapolati dal programma erano quelli che si possono verificare durante a un test a carico costante di 1ora. I soggetti dopo 8 settimane di allenamento hanno fatto un altro test incrementale. Il dati hanno mostrato che Polimedicus non è molto affidabile, soprattutto l'HR. Nel secondo studio è stato sviluppato un nuovo programma, Inca, ed i risultati sono stati confrontati con i dati ottenuti dal primo studio con Polimedicus. I risultati finali hanno mostrato che Inca è più affidabile. Nel terzo studio, abbiamo voluto verificare l'esattezza del calcolo del FatMax con Inca e il test FATmaxwork. 25 soggetti in sovrappeso, tra 40-55 anni, sono stati arruolati e sottoposti al FATmaxwork test. Successivamente, è stato verificato se i valori estrapolati da INCA erano quelli che possono verificarsi durante un carico di prova costante di un'ora. L'analisi ha mostrato una precisione del calcolo della FatMax durante il carico di lavoro. Conclusione: E’ emersa una certa difficoltà nel determinare questo parametro, sia per la variabilità inter-individuale che intra-individuale. In futuro bisognerà migliorare INCA per ottenere protocolli di allenamento ancora più validi.