Peripheral heart action (PHA) training as a valid substitute to high intensity interval training to improve resting cardiovascular changes and autonomic adaptation

Piras, Alessandro; Persiani, Michela; Damiani, N; Perazzolo, Monica; Raffi, Milena

doi:10.1007/s00421-014-3057-9

Cited by 26 publications

(25 citation statements)

References 78 publications

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“…21 Regarding the groups, there was a range from 8 to 21 individuals per group, and two studies presented a control group, 48,53 three compared the HIIT with aerobic training of moderate intensity 49,51,52 and one with peripheral heart action training. 50 Three articles included a healthy population in their samples, 48,50,51 while the other studies evaluated the effects of HIIT in patients with coronary artery disease (CAD), 53 chronic heart failure 52 and metabolic syndrome (MetS). 49 AET, aerobic endurance training; BMI, body mass index; CAD, coronary artery disease; CAT, continuous moderate intensity aerobic exercise; CON, control group; CHF, chronic heart failure; HIIT, high-intensity interval training; M, men; MetS, metabolic syndrome; MICT, moderate-intensity continuous training; NR, not report; PHA, peripheral heart action training; VO 2peak , peak oxygen consumption; W, women; For age, VO 2peak , and BMI at baseline, data are expressed as mean and standard deviation.…”

Section: Characteristics Of Participantsmentioning

confidence: 99%

Can high-intensity interval training change cardiac autonomic control? A systematic review

Abreu

Rehder-Santos

Simões

et al. 2019

Brazilian Journal of Physical Therapy

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Background: High intensity interval training (HIIT) has been used as a cardiovascular exercise strategy to promote greater adherence in cardiovascular rehabilitation. However, little is known about the effect of this training modality on cardiac autonomic control. Objective: To perform a systematic review to evaluate the effects of HIIT on cardiac autonomic responses in humans. Methods: PEDro, SCOPUS and PubMed were searched from the inception to March 29th, 2018. Moreover, the methodological quality and statistical reporting from all eligible clinical trials were assessed by the PEDro scale. The articles were eligible if: The primary objective was related to the effects of HIIT on the cardiac autonomic nervous system. Outcomes evaluated were indirect measures of cardiac autonomic control, represented by HRV indexes. Results: The search strategies resulted in 339 citations and 2 additional citations were identified through other sources. After deleting the duplicate articles and revising the full text, 6 articles were included. Overall, the results showed an improvement in parasympathetic and/or sympathetic modulation after HIIT, when evaluated by linear and non-linear indexes of HRV. Conclusions: HIIT is a promising tool to improve the cardiac autonomic control, with more recommendation in healthy individuals and patients with metabolic syndrome.

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Section: Characteristics Of Participantsmentioning

confidence: 99%

Can high-intensity interval training change cardiac autonomic control? A systematic review

Abreu

Rehder-Santos

Simões

et al. 2019

Brazilian Journal of Physical Therapy

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“…The main findings of this study were as follows: (i) Bioelectric impedance analysis showed that strength training affected hydration parameters and PBC enhanced recovery compared to passive rest. responsiveness Piras et al 2015;. (iii)…”

Section: Discussionmentioning

confidence: 99%

Physiological responses to partial-body cryotherapy performed during a concurrent strength and endurance session

Piras

Campa

Toselli

et al. 2019

Appl. Physiol. Nutr. Metab.

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This investigation examined the effect of partial-body cryostimulation (PBC) performed in the recovery time between a strength training and an interval running (IR). Nine rugby players [age 23.7±3.6, BMI 28.0±2.6 kg/m2] were randomly exposed to two different conditions: i) PBC: 3-min at -160°C; ii) passive recovery at 21°C. We recorded the bioelectrical impedance analysis (BIA), temperature, and cardiac autonomic variables in three moments: at baseline, after strength training (R0) and after 90-min of recovery (R90). Additionally, the blood lactate concentration was measured 1-min before and 2.5-min after the IR. The heart rate, energy cost, minute ventilation, oxygen uptake and metabolic power were assessed during the IR. The homeostatic hydration status was affected by the execution of intense strength training sub-session. Then, after PBC the BIA vector was restored back, close to normohydration status. Autonomic variables changed over time in both conditions, although the mean differences and effect sizes were higher in the PBC condition. During IR, the heart rate was 3.5% lower after PBC, and the same result was observed for the oxygen uptake (~4.9%) and ventilation (~6.5%). The energy cost measured after cryotherapy was ~9.0% lower than after passive recovery. Cryotherapy enhances recovery after a single strength training, while during the subsequent interval running it shows a reduction in cardiorespiratory and metabolic parameters. PBC may be used in those athletes who compete or train more than once in the same day to improve recovery between successive training sessions or competitions.

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“…On the first visit, subjects performed an incremental cycling test to exhaustion on an electronically braked cycle ergometer (LODE Excalibur, Quinton Instrument, Groningen, the Netherlands) to determine the VO 2max . The expired gas analysis was performed with the Quark CPET device (Cosmed, Pavona, RM, Italy) while subjects cycled at 30 W for 3 min as a warm-up, followed by an instantaneous increase of 1 W every 2s at a cadence between 70-80 rpm [22] The maximal exercise test lasted until VO 2 plateau was obtained or at least one of the two additional criteria: (i) a plateau of heart rate despite an increased velocity or (ii) exercise cessation due to substantial fatigue. VO 2 plateau was defined as an increase in VO 2 ≤ 50 ml min −1 during the last 30s despite increased power [23].…”

Section: Methodsmentioning

confidence: 99%

The Effects of Dehydration on Metabolic and Neuromuscular Functionality during Cycling

Campa

Piras

Raffi

et al. 2020

IJERPH

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This study aimed to determine the effects of dehydration on metabolic and neuromuscular functionality performance during a cycling exercise. Ten male subjects (age 23.4 ± 2.7 years; body weight 74.6 ± 10.4 kg; height 177.3 ± 4.6 cm) cycled at 65% VO2max for 60 min followed by a time-to-trial (TT) at 95% VO2max, in two different conditions: dehydration (DEH) and hydration (HYD). The bioelectrical impedance vector analysis (BIVA) and body weight measurements were performed to assess body fluid changes. Heart rate (HR), energy cost, minute ventilation, oxygen uptake, and metabolic power were evaluated during the experiments. In addition, neuromuscular activity of the vastus medialis and biceps femoris muscles were assessed by surface electromyography. After exercise induced dehydration, the bioimpedance vector significantly lengthens along the major axis of the BIVA graph, in conformity with the body weight change (−2%), that indicates a fluid loss. Metabolic and neuromuscular parameters significantly increased during TT at 95% VO2max with respect to constant workload at 65% of VO2max. Dehydration during a one-hour cycling test and subsequent TT caused a significant increase in HR, while neuromuscular function showed a lower muscle activation in dehydration conditions on both constant workload and on TT. Furthermore, a significant difference between HYD and DEH for TT duration was found.

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Peripheral heart action (PHA) training as a valid substitute to high intensity interval training to improve resting cardiovascular changes and autonomic adaptation

Cited by 26 publications

References 78 publications

Can high-intensity interval training change cardiac autonomic control? A systematic review

Can high-intensity interval training change cardiac autonomic control? A systematic review

Physiological responses to partial-body cryotherapy performed during a concurrent strength and endurance session

The Effects of Dehydration on Metabolic and Neuromuscular Functionality during Cycling

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