International Journal of Physical Education, Fitness and Sports 2019-03-30T00:00:00+00:00 Dr. B. Chittibabu Open Journal Systems Can Collegiate Hockey Players Accurately Predict Regional and Total Body Physiologic Changes throughout the Competitive Season? 2019-01-20T06:10:02+00:00 Nathan Chiarlitti Patrick Delisle-Houde Harlan R. Orr Ryan ER. Reid Ross E. Andersen <p>A collegiate athlete’s body composition can fluctuate due to factors such as nutrition, sleep, and training load. As changes in body composition can affect an athlete’s level of performance, it may be beneficial if athlete’s can accurately predict these changes throughout a season. The purpose of this study was to determine how well a group of 23 male collegiate hockey players (age = 22.44 ± 1.16 years, height = 181.30 ± 6.99 cm, weight = 86.41 ± 8.32 kg) could predict their regional and total body lean and fat tissue mass throughout a hockey season (September to March). Total body, trunk, lower body, and upper body compositional changes were measured at the beginning and at the end of the competitive season using dual energy X-Ray absorptiometry (DXA). At the end of the season, a questionnaire was completed by each participant to explore how they perceived their body composition changes (losses or gains in lean tissue and fat mass) throughout the season. Overall, players had a difficult time identifying actual changes in lean tissue and fat mass throughout the season. Upper body fat and lean tissue changes were perceived most accurately, while perceptions of body fat were related to android adiposity but not visceral adiposity. These findings suggest that some regional areas of body composition changes may happen without being noticed. For strength and conditioning coaches, if athletes are made aware of these changes before they become exaggerated, proper dietary, and training adaptations can be made to enhance performance.</p> 2019-01-20T06:03:51+00:00 ##submission.copyrightStatement## The Influence of Bicycle Geometry on Time-Trial Positioning Kinematics and Markers of Performance 2019-01-20T06:26:27+00:00 D.P. Heil Robert Pickels <p>Studies have previously documented how changes in cycling body kinematics are related to submaximal energetics and power output, as well as cycling performance, but few have focused specifically on how body kinematics will vary with changes in bicycle geometry. This study sought to describe kinematic changes resulting from the systematic change of several bicycle geometry variables: Trunk angle (“low” and “high” positions), seat-tube angle (76° and 80°), saddle tilt angle (0° to -10°), saddle sitting position (middle or nose), as well as two types of saddles. <em>Methods</em>: Well-trained cyclists were kinematically evaluated across specific combinations of geometry variables using a modified cycle ergometer at a standard relative power. Standard two-dimensional sagittal-view kinematics from the left side were used to summarize a collection of kinematic variables: Trunk angle, hip angle (HA), knee angle, pelvic tilt angle, and two “composite” angles called body position and pelvic position (PP). Finally, each trial was also evaluated for frontal area (FA; m<sup>2</sup>) from stationary digital photography. Data were evaluated using repeated measures ANOVA (a=0.05) to evaluate change in kinematics between trials, as well as regression analysis to determine predictability of performance markers (HA and FA) from the collection of geometry and kinematic variables. <em>Results:</em> Changing trunk angle had the greatest impact on other kinematic variables, while saddle type had no influence. Regression showed that geometry variables could explain 75-85% of the variability in either HA or FA, while 78-79% of the variation in HA and 83-84% of FA was explained by PP alone. <em>Conclusions:</em> The composite kinematic measure PP was generally a better predictor of both HA and FA than any combination of geometry variables. These results can serve as a starting point for understanding the interactions between bicycle geometry and body kinematics, both of which are important determinants of power generation and aerodynamic drag.</p> 2019-01-20T06:26:27+00:00 ##submission.copyrightStatement## The relationship between some physical fitness characteristics and body composition of elite wrestlers 2019-01-20T06:44:56+00:00 yahya yıldırım Ramiz Arabacı Hüseyin Topçu Tonguç Vardar <p>The aim of present study was to investigate the relationship between elite wrestlers' body composition and static strength, anaerobic power and static balance characteristics. Eleven elite male freestyle wrestlers (age = 18.8 ± 1.1 years, height = 170.9 ± 5.3 cm, weight = 75.2 ± 9.6 kg, BMI = 25.7 ± 2.4 kg/m<sup>2</sup>) who struggle in Turkish Wrestling Super League from Bursa Metropolitan Municipality Sports Club, voluntary participated. Subjects’ height, weight, body composition, balance (Peri Length 443.1 ± 140.6 cm, Aria Gap P 20.6 ± 12.9 cm), anaerobic power (106.3 ± 16.8 kg/m/sec), back strength (140.2 ± 30.7 kg) and grip strength (47.6 ± 6.4 kg) test were measured.&nbsp; Pearson correlation coefficient were performed to determine the relationship between variables. In conclusion, anaerobic power, strength and balance are related to body composition components such as height, body weight, BMI, arm and leg fat %, muscle mass and body weight.</p> 2019-01-20T06:44:56+00:00 ##submission.copyrightStatement## The Effect of a Physical Fitness Program on the Level of Musculoskeletal Fitness of Male Students with Visual Impairment or Blindness 2019-03-03T07:21:07+00:00 CHEIKH Yaaqoub ZENAGUI Sefiane OUHASSINE Ibrahim <p>The present research aims to know how much impact the physical fitness program may have on the level of musculoskeletal fitness of blind male students (15-18 years old). The experimental method was used on a sample of 18 students with visual impairment or blindness at the Visually Impaired Center. These students were chosen randomly, we used various tests, namely the push-ups, sit ups tests and sit and reach test, and the results obtained indicated that there are statistically significant differences between the pretests and posttests, in favor of the posttests, for the level of musculoskeletal fitness of students with visual impairment or blindness.</p> 2019-03-30T00:00:00+00:00 ##submission.copyrightStatement##