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Foundation Degree in
Applied Sports Studies
Sports Biomechanics
Barbara King & Massoud Seifipour
Malcolm Rodger
12/03/04
Experimental Report
Contents:
Introduction 3
Method 4
Results 5-6
Discussion 7
Conclusion 8
Reference 9
Appendix 10
Introduction:
The aim of this study was to access the relationship between age and time taken to sprint 30m from an upright standing start without considering variables of weight, height or specifics of gender, sporting activities or dress code to participate in the test.
Twenty two (22) opportunistically selected subjects, with a mean age of 24. ... 71 had an average time of 4. ...
The greatest majority of research into age effecting sporting performance has taken into account many variables such as mental health, motor skill learning, perceived ratings of exertion and motivation. ... 05) that scientific methods of recording velocity and time over a set indoor distance would give a significant correlation between age and velocity (sprint time). The prediction gave a hypothesis that age affected the ability to run 30m indoors. ... 05 that there was no correlation between age and sprint time.
Research has shown that age may be the main contributor in many factors, which effect fitness. ... Adams et al (1972) supported these findings in a larger study, further stating that a similar decline through age can be seen in females, however there the decline started earlier.
Accepting VO2 Max as an indicator to fitness, this study merely sets out to ascertain the correlation between age and sprint time, in the knowledge that ANOVA analysis would be a better indicator of significance.
Method:
Each subject performed a single ¡®sprint¡¯ run between infa red photo light cells spaced accurately 10m apart. ... 0
Sketch of layout sprint channel.
After each run the subject gave, their age, which was recorded with their split, times (Appendix 1.
Approximate Word count = 1412
Approximate Pages = 5.6
(250 words per page double spaced)
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