scholarly journals Body Composition and Power Output In NCAA Division I American Football Linebackers Throughout a Competitive Season

Author(s):  
Kurt McDowell

Body composition and power are impactful variables of athletic performance. However, few studies have assessed power and body composition changes from pre-, to mid-, to end-of-season in American Football linebackers. The purpose of this study was to determine how power and body composition respond to a competitive season in Division I Football Championship Series (FCS) American football linebackers. Participants (n=9; Age=19.7 ± 1.5 years; Weight=101.5±11.6 kg; Height=183.3±5.2 cm; [Body Fat percent (BF %) =21.31 ± 6.02%)] performed a Dual-Energy X-ray Absorptiometry (DXA) scan, and power was assessed via three vertical jumps and squat jumps at 40, 60, 80, and 100 kg at three time points: a) 1 week prior to their regular season, b) 2 days after the bye week in the middle of the season, and c) 1 week prior to the completion of the season. An Analysis of Variance (ANOVA) revealed no significant differences (p ≤ 0.05) in power or body composition. These results support past research, indicating power and body composition can be maintained throughout a competitive season. However, more research is needed to determine the optimal programming methods to maintain or improve athletic performance via optimization of body composition and power during a competitive season.

2017 ◽  
Vol 49 (5S) ◽  
pp. 266
Author(s):  
Bryce V. Murphy ◽  
Donald R. Dengel ◽  
Eric A. Klein ◽  
Dustin J. Perry ◽  
Chad M. Pearson ◽  
...  

2015 ◽  
Vol 29 (9) ◽  
pp. 2503-2512 ◽  
Author(s):  
Teresa L. Binkley ◽  
Seth W. Daughters ◽  
Lee A. Weidauer ◽  
Matthew D. Vukovich

2017 ◽  
Vol 49 (5S) ◽  
pp. 174-175
Author(s):  
Tyler A. Bosch ◽  
Aaron Carbuhn ◽  
Philip R. Stanforth ◽  
Jonathan M. Oliver ◽  
Kathryn A. Keller ◽  
...  

2021 ◽  
Vol 53 (8S) ◽  
pp. 40-40
Author(s):  
Amanda N. Gordon ◽  
Malia N.M Blue ◽  
Hannah E. Cabre ◽  
Lacey M. Gould ◽  
Katie R. Hirsch ◽  
...  

2014 ◽  
Vol 28 (12) ◽  
pp. 3320-3329 ◽  
Author(s):  
Malia N. Melvin ◽  
Abbie E. Smith-Ryan ◽  
Hailee L. Wingfield ◽  
Eric D. Ryan ◽  
Eric T. Trexler ◽  
...  

Author(s):  
Woosub Jung ◽  
Amanda Watson ◽  
Scott Kuehn ◽  
Erik Korem ◽  
Ken Koltermann ◽  
...  

For the past several decades, machine learning has played an important role in sports science with regard to player performance and result prediction. However, it is still challenging to quantify team-level game performance because there is no strong ground truth. Thus, a team cannot receive feedback in a standardized way. The aim of this study was twofold. First, we designed a metric called LAX-Score to quantify a collegiate lacrosse team's athletic performance. Next, we explored the relationship between our proposed metric and practice sensing features for performance enhancement. To derive the metric, we utilized feature selection and weighted regression. Then, the proposed metric was statistically validated on over 700 games from the last three seasons of NCAA Division I women's lacrosse. We also explored our biometric sensing dataset obtained from a collegiate team's athletes over the course of a season. We then identified the practice features that are most correlated with high-performance games. Our results indicate that LAX-Score provides insight into athletic performance beyond wins and losses. Moreover, though COVID-19 has stalled implementation, the collegiate team studied applied our feature outcomes to their practices, and the initial results look promising with regard to better performance.


2020 ◽  
Vol 52 (7S) ◽  
pp. 867-867
Author(s):  
Erica Roelofs ◽  
April Bockin ◽  
Tyler A. Bosch ◽  
Christopher W. Bach ◽  
Jonathan M. Oliver ◽  
...  

2016 ◽  
Vol 44 (9) ◽  
pp. 2269-2275 ◽  
Author(s):  
Zachary Houck ◽  
Breton Asken ◽  
Russell Bauer ◽  
Jason Pothast ◽  
Charlie Michaudet ◽  
...  

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