Search Results - Condition

Shunfang Liu, Jingling Dai, Pengpeng Gou & Menglong Lin “…Background The effectiveness of core stability training, a key component of physical conditioning, on swimming performance remains a topic of debate. …”

Timmerman, W. P., Stanley, M., Raynor, A., Lawler, N., Abbiss, C. “…Further, coaches demonstrated adaptability to changing circumstances through anticipatory conditional decision-making. This was done by establishing multiple decision paths in advance and, depending on the athlete monitoring outcome, selecting the most appropriate course of action. …”

Aubert, R., Roizard, X., Grappe, F., Lallemand, F. “…All lubrication regimes are encountered in elite cycling, which is in good accordance with most of the testing conditions presented in this review, especially FTR and SSR. …”

Jauch, E., Terry, K., Hoogendyk, D., Campbell, S. “…Means for in-water results were compared between different conditions (speed cues: cruise, fast) (swim condition: kick, swim) pre and post (ANOVA) (=0.01). …”

Merlini, M., Staiano, W., Angius, L., Romagnoli, M., Schena, F., Dickinson, J., Marcora, S. “…Power declined from pre- to post-simulation in both conditions (p < 0.016), but the decrement was attenuated with salmeterol (peak: -7.5% vs. -18.2%; mean: -13.0% vs. -19.8%). …”

Staunton, C. A., Ruiz-Navarro, J. J., Born, D.-P. “…Conclusions: These findings highlight the complexity and individuality of stroke mechanics at elite levels and suggest that superior conditioning and technique enable medallists to sustain elevated SR without compromising SL. …”

MacDougall, K. B., Aboodarda, S. J., Wickenberg, A. B., Macintosh, B. R. “…Vastus lateralis EMG root mean square amplitude and M-wave amplitude increased across the trial similarly in both conditions, but priming resulted in a relative "downshift" in both measures (P = 0.027). …”

Smith, E. S., Kuikman, M., Rusell, S., Gardiner, C. L., Halson, S. L., Stellingwerff, T., Harris, R., McKay, A. K. A., Burke, L. M. “…Results Total sleep duration was extended by 53-61 min following LEAEX versus non-exercise conditions: GEA (P = 0.002), HEAREST (P = 0.003), and LEAREST (P = 0.020). …”

Pirlot, T., Baron, B., Scholler, V., Grappe, F., Pageaux, B., Groslambert, A. “…Methods: Twenty-four male cyclists (12 professionals and 12 national level) matched for VO2max (75.2 [5.9] vs 74.3 [7.1] mL·min-1·kg-1) performed a 60-minute treadmill cycling test simulating race-end conditions. Power output (PO), heart rate, respiratory frequency, electroencephalographic-derived neural efficiency, perceptual responses (effort, pain, pleasure), and motivation were recorded. …”

Aram, S., Thompson, I. M., Hudson, D. A., Banks, J. “…Using a single IMU on lower back, the system classified strokes, turns, and starts under realistic conditions. Three classifiers of Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and Quadratic Discriminant Analysis (QDA) were evaluated. …”

Barsumyan, A., Soost, C., Shyla, R., Graw, J. A., Bliemel, C., Burchard, R. “…The second test was preceded by a fatigue protocol which, after the warm-up, consisted of cycling at 80% of their initial 20-minutes power under fresh condition until 1000 kJ of work was completed, followed by 5-minutes and 20-minutes all-out tests. …”

Demay, R. S., Kerhervé, H. A. “…RPE increased significantly over time (p<0.001), with no differences between conditions (p=0.272). At POST, while end-test power (EP) remained unchanged, total work done (TWD) and work above EP (WEP) significantly decreased (p<0.001) with no differences between conditions. …”

Arc-Chagnaud, C., Dugué, B., Pla, R., Bouzigon, R., Bosquet, L., D-Day Consortium, Dupuy, O. “…Each week (5 days and 5 nights) represented one of the two experimental conditions: partial body cryostimulation exposures (CRYO) or control sessions (CONT). …”

Villanova, S., Pastorio, E., Pilotto, A. M., Marciano, A., Quaresima, V., Adami, A., Rossiter, H. B., Cardinale, D. A., Porcelli, S. “…The recovery k of m. triceps brachii was non-invasively estimated by NIRS through repeated intermittent occlusions under two conditions: well-oxygenated (kHIGH) and low O2 availability (kLOW). …”

Mendoza-Castejón, D., Trinidad, A., De la Calle, L. M., Belando-Pedreño, N. “…This study explores the influence of relative age on the athletic and academic performance of young swimmers, while also considering other contributing factors such as training conditions, anthropometric characteristics, and coaches` subjective evaluations. …”

Iglesias, X., Rodríguez-Zamora, L., Carrasco-Marginet, M., Irurtia, A., Rodríguez, F. A., Fernández-Jarillo, I., Chaverri, D. “…These findings suggest that, under the specific conditions of this study, short-duration apneas (< 20 s) may be insufficient on their own to elicit distinct physiological shifts. …”

Buga, A., Buxton, J. D., Plank, E., Minor, J. D., Sterrett, M. T., Brooks, C. A., Niemann, T. R., Troxel, M. P., Bryarly, A., Furry, Z., Hannon, C., Muench, J., Stone, D., D`Agostino, D. P., Volek, J. S., Koutnik, A. P., Prins, P. J. “…Despite distinct preferred substrate oxidation profiles during exercise, the 5 and 10 km TT performances were similar between conditions (p = 0.646/p = 0.118). RER was significantly lower (p = 0.002) after the LCHF condition compared to HCLF. …”

Liu, S., Gou, P., Lin, M. “…Studies were eligible for inclusion if they met the following criteria: (a) participants were healthy individuals without diagnosed disease or disability; (b) the intervention involved respiratory muscle training compared to a sham or control condition in a randomized controlled trial or controlled clinical trial; (c) swimming performance was reported as an outcome with sufficient data to compute effect sizes; and (d) the full text was available. …”

Grivas, G. V. “…The article also examines the limitations and applicability of negative splits among elite and recreational runners, highlighting the need for individualized approaches based on fitness level, environmental conditions, and race profile. In conclusion, while not universally applicable, negative splits represent a scientifically grounded pacing method that may optimize performance in marathon running across a range of athlete populations.…”

Tuono, A. T., Pinheiro, A. M., Gomes, A. C., Padovani, C. R., Borin, J. P. “…The following were analyzed total and partial time (hh:mm:ss), average speed (km/h), pace (mm:ss), body mass (kg), body fat (%), vertical jump (watts and cm), heart rate (bpm), lactate (mmol-L-1) in addition to geographic and climatic conditions. In the main results, there is a significant difference in the time and average speed throughout the six stages, with the best results in stages three and five (S3 and S5). …”