Academic literature on the topic 'Submaximal swim measures'
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Journal articles on the topic "Submaximal swim measures"
Hue, Olivier. "Prediction of Drafted-Triathlon Race Time From Submaximal Laboratory Testing in Elite Triathletes." Canadian Journal of Applied Physiology 28, no. 4 (August 1, 2003): 547–60. http://dx.doi.org/10.1139/h03-042.
Full textMcDonald, D. G., W. J. McFarlane, and C. L. Milligan. "Anaerobic capacity and swim performance of juvenile salmonids." Canadian Journal of Fisheries and Aquatic Sciences 55, no. 5 (May 1, 1998): 1198–207. http://dx.doi.org/10.1139/f98-002.
Full textRyan, C., and J. Radziuk. "Muscle glyconeogenesis during recovery from a prolonged swim in rats." American Journal of Physiology-Endocrinology and Metabolism 267, no. 2 (August 1, 1994): E210—E218. http://dx.doi.org/10.1152/ajpendo.1994.267.2.e210.
Full textBarden, John M., and Mike V. Barber. "The Effect of Breathing Laterality on Hip Roll Kinematics in Submaximal Front Crawl Swimming." Sensors 22, no. 6 (March 17, 2022): 2324. http://dx.doi.org/10.3390/s22062324.
Full textMusch, T. I., R. L. Moore, M. Riedy, P. Burke, R. Zelis, M. E. Leo, A. Bruno, and G. E. Bradford. "Glycogen concentrations and endurance capacity of rats with chronic heart failure." Journal of Applied Physiology 64, no. 3 (March 1, 1988): 1153–59. http://dx.doi.org/10.1152/jappl.1988.64.3.1153.
Full textHenriksen, E. J., L. L. Louters, C. S. Stump, and C. M. Tipton. "Effects of prior exercise on the action of insulin-like growth factor I in skeletal muscle." American Journal of Physiology-Endocrinology and Metabolism 263, no. 2 (August 1, 1992): E340—E344. http://dx.doi.org/10.1152/ajpendo.1992.263.2.e340.
Full textIbrahimaj Gashi, Arbnore, Arjeta Azemi, Vujica Zivkovic, Serjoza Gontarev, and Icko Gjorgovski. "The effect of regular aerobic activity on cortisol levels in female Wistar rats." Biomedical Research and Therapy 8, no. 2 (February 28, 2021): 4219–27. http://dx.doi.org/10.15419/bmrat.v8i2.660.
Full textSwanson, C., P. S. Young, and J. J. Cech. "Swimming performance of delta smelt: maximum performance, and behavioral and kinematic limitations on swimming at submaximal velocities." Journal of Experimental Biology 201, no. 3 (February 1, 1998): 333–45. http://dx.doi.org/10.1242/jeb.201.3.333.
Full textMyers, Victoria R., Adam L. McKillop, Sarah J. Fraser, Josh M. Abel, and Greg D. Wells. "Physiological and psychological adaptations during taper in competitive swimmers." International Journal of Sports Science & Coaching 12, no. 4 (August 2017): 481–94. http://dx.doi.org/10.1177/1747954117717878.
Full textArsoniadis, Gavriil G., Gregory C. Bogdanis, Gerasimos Terzis, and Argyris G. Toubekis. "Acute Resistance Exercise: Physiological and Biomechanical Alterations During a Subsequent Swim Training Session." International Journal of Sports Physiology and Performance 15, no. 1 (January 1, 2020): 105–12. http://dx.doi.org/10.1123/ijspp.2018-0897.
Full textDissertations / Theses on the topic "Submaximal swim measures"
(13145966), Gregory John Rowsell. "Predicting maximal 400-m swim performance using submaximal swim times and training log variables." Thesis, 1999. https://figshare.com/articles/thesis/Predicting_maximal_400-m_swim_performance_using_submaximal_swim_times_and_training_log_variables/20365512.
Full textThe purpose of the present study was to examine the validity of using a combination of submaximal swim measures and log book variables to predict 400-m maximal swim performance in well -trained triathletes. Seven well -trained triathletes (five male, two female) recorded subjective ratings of well being (quality of sleep, fatigue, stress and muscle soreness), training effort (day prior), resting morning heart rate and previous day's training details (minutes swum, bicycled or run) in daily training logs for a 42 -day period during the preparation phase of a triathlon -training year. Each participant also completed three consecutive swimming performance measures (200-m and 500-m submaximal, and 400-m maximal swims) at two of four regular weekly swim -training sessions. Statistical analyses revealed that 200-m submaximal swim time (r = 0.602, p = 0.000), 500-m submaximal swim time (r = 0.655, p = 0.000), quality of sleep (r = 0.201, p = 0.039), stress (r = 0.251, p = 0.013) and training effort (day prior) (r = 0.314, p = 0.003) were significantly correlated to the variation in 400-m maximal swim performance. Hierarchical regression analysis revealed that 49.4% of the variance in 400-m maximal swim performance was predicted by the 200-m and 500- m submaximal swim times. A combination of submaximal swim measures and log book variables significantly enhanced (F (7, 68) = 3.324, p = 0.004) the prediction such that 58.4% of the variance in 400-m maximal swim performance was explained. These results suggest that a combination of log book variables and submaximal swim measures account for a significant amount of the variance in 400-m maximal swim performance and that a combination of these variables may be used to monitor individual responses to swim training in well -trained triathletes.