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Submaximal exercise cardiac output is increased by 4 weeks of sprint interval training in young healthy males with low initial Q-VO2: Importance of cardiac response phenotype.

ABSTRACT: Cardiovascular adaptations to exercise, particularly at the individual level, remain poorly understood. Previous group level research suggests the relationship between cardiac output and oxygen consumption ([Formula: see text]-[Formula: see text]) is unaffected by training as submaximal [Formula: see text] is unchanged. We recently identified substantial inter-individual variation in the exercise [Formula: see text]-[Formula: see text] relationship that was correlated to stroke volume (SV) as opposed to arterial oxygen content. Therefore we explored the effects of sprint interval training (SIT) on modulating [Formula: see text]-[Formula: see text] given an individual's specific [Formula: see text]-[Formula: see text] relationship. 22 (21±2 yrs) healthy, recreationally active males participated in a 4-week SIT (8, 20 second sprints; 4x/week, 170% of the work rate at [Formula: see text] peak) study with progressive exercise tests (PET) until exhaustion. Cardiac output ([Formula: see text] L/min; inert gas rebreathe, Finometer Modelflow™), oxygen consumption ([Formula: see text] L/min; breath-by-breath pulmonary gas exchange), quadriceps oxygenation (near infrared spectroscopy) and exercise tolerance (6-20; Borg Scale RPE) were measured throughout PET both before and after training. Data are mean ? from bsl±SD. Higher [Formula: see text] ([Formula: see text]) and lower [Formula: see text] ([Formula: see text]) responders were identified post hoc (n = 8/group). SIT increased the [Formula: see text]-[Formula: see text] post-training in [Formula: see text] (3.8±0.2 vs. 4.7±0.2; P = 0.02) while [Formula: see text] was unaffected (5.8±0.1 vs. 5.3±0.6; P = 0.5). [Formula: see text] was elevated beyond 80 watts in [Formula: see text] due to a greater increase in SV (all P<0.04). Peak [Formula: see text] (ml/kg/min) was increased in [Formula: see text] (39.7±6.7 vs. 44.5±7.3; P = 0.015) and [Formula: see text] (47.2±4.4 vs. 52.4±6.0; P = 0.009) following SIT, with [Formula: see text] having a greater peak [Formula: see text] both pre (P = 0.02) and post (P = 0.03) training. Quadriceps muscle oxygenation and RPE were not different between groups (all P>0.1). In contrast to [Formula: see text], [Formula: see text] responders are capable of improving submaximal [Formula: see text]-[Formula: see text] in response to SIT via increased SV. However, the increased submaximal exercise [Formula: see text] does not benefit exercising muscle oxygenation.

SUBMITTER: Bentley RF

PROVIDER: S-EPMC6343875 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Submaximal exercise cardiac output is increased by 4 weeks of sprint interval training in young healthy males with low initial Q̇-V̇O2: Importance of cardiac response phenotype.

Bentley Robert F RF Jones Joshua H JH Hirai Daniel M DM Zelt Joel T JT Giles Matthew D MD Raleigh James P JP Quadrilatero Joe J Gurd Brendon J BJ Neder J Alberto JA Tschakovsky Michael E ME

PloS one 20190123 1

Cardiovascular adaptations to exercise, particularly at the individual level, remain poorly understood. Previous group level research suggests the relationship between cardiac output and oxygen consumption ([Formula: see text]-[Formula: see text]) is unaffected by training as submaximal [Formula: see text] is unchanged. We recently identified substantial inter-individual variation in the exercise [Formula: see text]-[Formula: see text] relationship that was correlated to stroke volume (SV) as op ...[more]

PMID: 30673702

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Project description:BackgroundMany individuals lose less weight than expected in response to exercise interventions when considering the increased energy expenditure of exercise (ExEE). This is due to energy compensation in response to ExEE, which may include increases in energy intake (EI) and decreases in non-exercise physical activity (NEPA). We examined the degree of energy compensation in healthy young men and women in response to interval training.MethodsData were examined from a prior study in which 24 participants (mean age, BMI, & VO2max = 28 yrs, 27.7 kg•m-2, and 32 mL?kg-1?min-1) completed either 4 weeks of sprint-interval training or high-intensity interval training. Energy compensation was calculated from changes in body composition (air displacement plethysmography) and exercise energy expenditure was calculated from mean heart rate based on the heart rate-VO2 relationship. Differences between high (? 100%) and low (< 100%) levels of energy compensation were assessed. Linear regressions were utilized to determine associations between energy compensation and ?VO2max, ?EI, ?NEPA, and ?resting metabolic rate.ResultsVery large individual differences in energy compensation were noted. In comparison to individuals with low levels of compensation, individuals with high levels of energy compensation gained fat mass, lost fat-free mass, and had lower change scores for VO2max and NEPA. Linear regression results indicated that lower levels of energy compensation were associated with increases in ?VO2max (p < 0.001) and ?NEPA (p < 0.001).ConclusionsConsiderable variation exists in response to short-term, low dose interval training. In agreement with prior work, increases in ?VO2max and ?NEPA were associated with lower energy compensation. Future studies should focus on identifying if a dose-response relationship for energy compensation exists in response to interval training, and what underlying mechanisms and participant traits contribute to the large variation between individuals.

Project description:Improving performances in sprinting requires feedback on sprint parameters such as step length and step time. However, these parameters from the top speed interval (TSI) are difficult to collect in a competition setting. Recent advances in tracking technology allows to provide positional data with high spatio-temporal resolution. This pilot study, therefore, aims to automatically obtain general sprint parameters, parameters characterizing, and derived from TSI from raw speed. In addition, we propose a method for obtaining the intra-cyclic speed amplitude in TSI. We analyzed 32 100 m-sprints of 7 male and 9 female athletes (18.9 ± 2.8 years; 100 m PB 10.55-12.41 s, respectively, 12.18-13.31 s). Spatio-temporal data was collected with a radio-based position detection system (RedFIR, Fraunhofer Institute, Germany). A general velocity curve was fitted to the overall speed curve (vbase), TSI (upper quintile of vbase values) was determined and a cosine term was added to vbase within TSI (vcycle) to capture the cyclic nature of speed. This allowed to derive TSI parameters including TSI amplitude from the fitted parameters of the cosine term. Results showed good approximation for vbase (error: 5.0 ± 1.0%) and for vcycle (2.0 ± 1.0%). For validation we compared spatio-temporal TSI parameters to criterion values from laser measurement (speed) and optoelectric systems (step time and step length) showing acceptable RMSEs for mean speed (0.08 m/s), for step time (0.004 s), and for step length (0.03 m). Top speed interval amplitude showed a significant difference between males (mean: 1.41 m/s) and females (mean: 0.71 m/s) and correlations showed its independence from other sprint parameters. Gender comparisons for validation revealed the expected differences. This pilot study investigated the feasibility of estimating sprint parameters from high-quality tracking data. The proposed method is independent of the data source and allows to automatically obtain general sprint parameters and TSI parameters, including TSI amplitude assessed here for the first time in a competition-like setting.

Dataset Information

Submaximal exercise cardiac output is increased by 4 weeks of sprint interval training in young healthy males with low initial Q-VO2: Importance of cardiac response phenotype.

Publications

Submaximal exercise cardiac output is increased by 4 weeks of sprint interval training in young healthy males with low initial Q̇-V̇O2: Importance of cardiac response phenotype.

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