Sports Physiology

1980 ◽  
Vol 12 (3) ◽  
pp. 219
Author(s):  
Stephen F. Lewis
Keyword(s):  
ACS Sensors ◽  
2021 ◽  
Vol 6 (10) ◽  
pp. 3496-3508
Author(s):  
Kevin Van Hoovels ◽  
Xing Xuan ◽  
Maria Cuartero ◽  
Maarten Gijssel ◽  
Mikael Swarén ◽  
...  

2016 ◽  
Vol 11 (6) ◽  
pp. 831-832 ◽  
Author(s):  
Martin D. Hoffman

Participation in ultraendurance sports has been increasing in recent years. This participation growth has been associated with an increase in research focused on such events. While the total amount of research related to these sports remains relatively small compared with other sports, the research growth is encouraging. New sources for research funding for ultraendurance sports should advance the science. In addition to continued opportunities with observational studies, promising areas of investigation remain for experimental studies and research that uses ultraendurance-sport environments as models for studies relevant to wider populations. Insight into the breadth of research opportunities in ultraendurance sports can be gained by reviewing the abstracts published online in the International Journal of Sports Physiology and Performance from the annual Medicine & Science in Ultra-Endurance Sports Conference that took place this year in Chamonix, France.


2021 ◽  
Vol 2 (1) ◽  
pp. 42-52
Author(s):  
Ade Onny Siagian

The purpose of the study. To find out: a) The effect of the Jigsaw cooperative learning bentuk on learning achievement in sports physiology. b) The influence of motivation on learning achievement in Sports Physiology. c) The interaction between the Jigsaw cooperative learning bentuk and motivation on learning achievement in Sports Physiology. Materials and methods. The research was conducted from April to December 2019. The population was students of the Department of Sport Science and Sports Coaching, Faculty of Sports and Health, Bhayangkara University Greater Jakarta. The sample is the third semester students consisting of two classes, namely class A as treatment and class B as control. Because the population is small, there is no sampling. Data collection techniques using motivation questionnaires and learning achievement tests. The data analysis technique used two-way analysis of variance. Results. The results The results of the analysis a) The learning achievement of students taught with the Jigsaw cooperative learning bentuk (mean = 60.81) was better than students taught with the conventional bentuk (mean = 60.21) obtained a statistical value of 7.234 with a significance of 0.002. b) The learning achievement of students with high motivation (mean = 71.05) is better than students who study with low motivation (mean = 50.00) obtained a statistical value of 146.905 with a significance of 0.000. c) There is an interaction of influence between learning bentuks and motivation in increasing learning achievement in the Sports Physiology course, the statistical value is 12.342 with a significance of 0.001. Conclusions. So from the results of this study it can be concluded that the Jigsaw type of cooperative learning bentuk is better than the conventional bentuk, and high learning motivation is better than low learning motivation


2018 ◽  
Vol 13 (3) ◽  
pp. 399

We, the Editors and Publishers of the International Journal of Sports Physiology and Performance, have withdrawn the following article in whole: Plews, DJ, Laursen, PB. Training intensity distribution over a four-year cycle in Olympic champion rowers: different roads lead to Rio [version of record published online ahead of print September 27, 2017]. Int J Sports Physiol Perform. doi: 10.1123/ijspp.2017-0343. The Editorial Office was contacted with the request to withdraw this article informing the Editor-in-Chief that the data in this article were not permissible to use due to undisclosed contractual obligations.


1986 ◽  
Vol 30 (10) ◽  
pp. 959-959
Author(s):  
Karl H. E. Kroemer

Knowledge of human capability to exert strength from the body (usually using hands or feet) to an external object (such as a control, or while lifting a load) is of great interest to the human factors engineer. Definition and measurement of human strength has been of considerable interest in various disciplines, such as physiology, psychology, biomechanics, sports physiology, physical education, and of course in human factors and ergonomics. With such a diversity of disciplines and interests, it is not surprising to find the concept, the problem, the techniques of solving it, and the results to be diverse, in fact partly incompatible. This undesirable condition needs to be resolved. For this, several eminent researchers, studying different aspects of the “strength” problem, are presenting their thoughts, experiences, and solutions. We do not dare to hope that this symposium will in fact solve the problem, define what human strength is, how it can be measured, and how the data may be applied. Still, we expect this to be a first and deciding step in bringing together the various fields interested in human strength.


1984 ◽  
Vol 55 (4) ◽  
pp. 17-22 ◽  
Author(s):  
Peter J. Van Handel ◽  
Jackie Puhl ◽  
Pat Bradley ◽  
Sandy Harms

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