Power and Fatigue Measurement of Jumping Jacks



Advisor / Mentor: Chelette, Amber (amber.chelette@sfasu.edu)


We are interested in testing whether male collegiate athletes can perform jumping jacks at a higher power and lower fatigue index than male non-collegiate athletes. PURPOSE: The study intends to see if male athletes have a difference in average power and fatigue index exerted over a 10-minute test of jumping jacks. Despite the sport the athletes play or the fitness level of non-athletes. METHODS: Our participants were five male collegiate athletes and five male non-collegiate athletes ages 18 – 22. The participants were tested using Kinvent K-Delta Force Plates. Before starting their trial, the participants completed a tw-minute dynamic warm-up. The participants were given the opportunity to do a practice set of jumping jacks to get used to the force plates. To start the trial, the participants were instructed to jump on the beat to a metronome set at 150 bpm. The participants each completed their trail for ten minutes or until failure. After the trial, each of the participants’ health condition was evaluated for safety purposes. Lastly, each participant completed a cool-down walk. RESULTS: Comparing the average power and repetitions for athletes and non-athletes, there is a positive correlation of 0.78120116 and 0.55440905, and the fatigue index for non-athletes with a correlation of 0.39396578. Although there is a positive correlation between the increase of power and fatigue versus repetitions completed, when evaluating the athletes fatigue index versus repetitions the correlation is 0.02601627, which shows little to no correlation. Comparing the data of athletes’ and the non-athletes' average power, there was a relationship between 1 non-athlete and 2 athletes, those athletes being football athletes currently out of season. CONCLUSION: Our hypothesis was met with a few exceptions, 2 out of the 5 athletes tested posed as outliers that skewed the reliability of the results. Altogether, the reliability of the results is manipulated due to the failure to meet the time required which at that point fatigue is based on the participants’ opinion. Also, the athletes tested show different data based on the sports they play. Non-athletes show different data based on how active they are currently.

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