Background: Breathing technique may influence endurance exercise performance by reducing overall breathing work and delaying respiratory muscle fatigue. We investigated whether a two-month yoga-based breathing intervention could affect breathing characteristics during exercise. Methods: Forty-six endurance runners (age = 16.6 ± 1.2 years) were randomized to either a breathing intervention or control group. The contribution of abdominal, thoracic, and subclavian musculature to respiration and ventilation parameters during three different intensities on a cycle ergometer was assessed pre- and post-intervention. Results: Post-intervention, abdominal, thoracic, and subclavian ventilatory contributions were altered at 2 W·kg−1 (27:23:50 to 31:28:41), 3 W·kg−1 (26:22:52 to 28:31:41), and 4 W·kg−1 (24:24:52 to 27:30:43), whereas minimal changes were observed in the control group. More specifically, a significant (p < 0.05) increase in abdominal contribution was observed at rest and during low intensity work (i.e., 2 and 3 W·kg−1), and a decrease in respiratory rate and increase of tidal volume were observed in the experimental group. Conclusions: These data highlight an increased reliance on more efficient abdominal and thoracic musculature, and less recruitment of subclavian musculature, in young endurance athletes during exercise following a two-month yoga-based breathing intervention. More efficient ventilatory muscular recruitment may benefit endurance performance by reducing energy demand and thus optimize energy requirements for mechanical work.
The aim of this study was to compare two tests both frequently used for determination of the state of the lumbar spine muscle system during static and dynamic loads. The sit-up test is a commonly used terrain test, while the diaphragm test is a more exact laboratory procedure. For both tests, measurements conducted by the muscular dynamometer SD02 were used to assure congruency in evaluation. The tests are based on the general information that the muscles of the deep stabilizing spine system (DSSS) are interconnected and form one functional unit, and that dysfunction of just one of these muscles may cause total dysfunction of the whole muscle system. It is therefore expected that the participation and force generated by the largest muscles of the area, musculus rectus abdominis and musculus transversus abdominis, will be comparable also during the testing procedures. Forty-five healthy women joined in the research, with the average age of 21.6 years. The results obtained were statistically evaluated using Statistica 6. The results showed the clear incapability of the sit-up test to indicate correctly the imbalances of the muscles of the DSSS, also implying that the tested subjects suffer to a high degree from dysfunctions of the DSSS.
Dorsal pain caused by spine dysfunctions belongs to most frequent chronic illnesses. The muscles of the deep stabilising spine system work as a single functional unit where a dysfunction of only one muscle causes dysfunction of the whole system. Non-invasive, objective and statistically measurable evaluation of the condition of deep stabilising spine system has been made possible by the construction of muscular dynamometer. The aim of our work has been the assessment of deep stabilising spine system by diaphragm test and muscular dynamometer measurements. Based on an initial examination, a 6-week intervention programme was established including instructions on physiological body posture and correct basic body stabilisation for the given exercises and muscle strengthening. Consecutive measurements are then compared with the initial ones. It was presumed that a smaller number of the tested subjects would be able to correctly activate the deep stabilising spine system muscles before the intervention programme when compared to those after the intervention programme. A positive change of 87% has been found. It is clear that if a person actively approaches the programme, then positive adaptation changes on the deep stabilising spine system are seen only after 6 weeks. With the muscular dynamometer, activation of deep stabilising spine system can be objectively measured. Changes between the initial condition of a subject and the difference after some exercise or rehabilitation are especially noticeable. Also, the effect of given therapy or correct performance of the exercise can be followed and observed.
Marko, D, Bahensk ý, P, Snarr, RL, and Mal átov á, R. V Ȯ2 peak Comparison of a treadmill vs. cycling protocol in elite teenage competitive runners, cyclists, and swimmers. J Strength Cond Res 36(10): 2875-2882, 2022-The purpose of this study was to compare the cardiorespiratory and metabolic responses of a maximal graded exercise test (GXT) on a treadmill and cycle ergometer in elite-level, youth competitive athletes. Thirty-one athletes (11 distance runners, 11 mountain-bike cyclists, and 9 long-distance swimmers) were randomly selected to complete either a running or cycling GXT on the first day, followed by the alternative 72 hours apart. The initial work rate for each GXT was set at 50% of the individuals' previously established V Ȯ2 peak to elicit fatigue within 8-12 minutes. For the treadmill protocol, speed was increased by 1 km•h 21 each minute, with a constant 5% grade, until volitional fatigue. Cycle ergometer work rate was increased by 30 W every minute until volitional fatigue or the inability to maintain proper cadence (i.e., 100 6 5 rev•min 21 ). Throughout both testing sessions, V Ȯ2 peak, heart rate [HR] peak, breathing frequency (BF), tidal volume (V T ), and minute ventilation (V E ) were assessed and used to compare within-sport differences. Runners displayed a higher V Ȯ2 peak (;7%; d 5 0.92), HRpeak (4%; d 5 0.77), V E (6%; d 5 0.66), and BF (12%; d 5 0.62) on the treadmill vs. cycle. However, the cycling group demonstrated a greater V Ȯ2 peak (;8%; d 5 0.92), V T (;14%; d 5 0.99), and V E (;9%; d 5 0.78) on the cycle, despite no change in HRpeak. For swimmers, the treadmill GXT elicited higher values in V Ȯ2 peak (;5%; d 5 0.75), BF (;11.5%; d 5 0.78), and HRpeak (3%; d 5 0.69). Collectively, these findings indicate that exercise mode may greatly affect physiological outcome variables and should be considered before exercise prescription and athletic monitoring.
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