The Time Course of Perceptual Recovery Markers After Match Play in Division I-A College American Football

2017 ◽  
Vol 12 (9) ◽  
pp. 1264-1266 ◽  
Author(s):  
Hugh H.K. Fullagar ◽  
Andrew Govus ◽  
James Hanisch ◽  
Andrew Murray

Purpose:To investigate the recovery time course of customized wellness markers (sleep, soreness, energy, and overall wellness) in response to match play in American Division I-A college football players. Methods:A retrospective research design was used. Wellness data were collected and analyzed for 2 American college football seasons. Perceptions of soreness, sleep, energy, and overall wellness were obtained for the day before each game (GD–1) and the days after each game (GD+2, GD+3, and GD+4). Standardized effect-size (ES) analyses ± 90% confidence intervals were used to interpret the magnitude of the mean differences between all time points for the start, middle, and finish of the season, using the following qualitative descriptors: 0–0.19 trivial, 0.2–0.59 small, 0.6–1.19 moderate, 1.2–1.99 large, <2.0 very large. Results:Overall wellness showed small ES reductions on GD+2 (d = 0.22 ± 0.09, likely [94.8%]), GD+3 (d = 0.37 ± 0.15, very likely), and GD+4 (d = 0.29 ± 0.12, very likely) compared with GD–1. There were small ES reductions for soreness between GD–1 and GD+2, GD+3, and GD +4 (d = 0.21 ± 0.09, likely, d = 0.29 ± 0.12, very likely, and 0.30 ± 0.12, very likely, respectively). Small ES reductions were also evident between GD–1 and GD+3 (d = 0.21 ± 0.09, likely) for sleep. Feelings of energy showed small ESs on GD+3 (d = 0.27 ± 0.11, very likely) and GD+4 (d = 0.22 ± 0.09, likely) compared with GD–1. Conclusion:All wellness markers were likely to very likely worse on GD+3 and GD+4 than on GD–1. These findings show that perceptual wellness takes longer than 4 d to return to pregame levels and thus should be considered when prescribing training and/or recovery.

2018 ◽  
Vol 55 (3) ◽  
pp. 272-290
Author(s):  
Siduri J Haslerig ◽  
Rican Vue ◽  
Sara E Grummert

As the most watched college sport broadcast of all time, the US Entertainment and Sports Programming Network (ESPN)’s College GameDay (CGD) is one source of socialization that primes US audiences to make certain associations. Through disaggregated analysis of regular- and post-season CGD pre-game and game-of-the-week broadcasts during the 2016 football season, the authors examine the coverage of players’ physicality and injuries, contrasting the portrayals of Black and white American football players. The paper documents prominent narratives that promoted Black players as relatively invulnerable, while making the case that these narratives serve to prime audiences to ascribe inhuman abilities to Black people and thereby reinforce white supremacist ideology.


Sports ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 165
Author(s):  
Eric J. Sobolewski

The aim of this study is to explore the relationships between internal and external load measures in American football. Thirty football players wore a portable integrated monitor unit for 10 weeks during the fall football season. Relationships between internal and external load measurements were determined. Internal load consisted of heart rate zones and heart rate-derived measures and session Ratings of Perceived Exertion (sRPE). External load consisted of distance in different speed zones, total distance traveled, and accelerations. There were many significant positive relationships, but the meaningful relationships (r > 0.5) were between heart rate-derived measures of load (Training Impulse and heart rate reserve) and low-intensity movement and total distance. Only accelerations between 1 and 1.99 m·s−2 were moderately correlated to heart rate-derived internal load. RPE values alone did not correlate strong enough with any of the measure but sRPE training load (sRPE-TL) correlated to most external values. Overall, moderate correlations were present between heart rate-derived internal load to total distance and lower intensity movement. sRPE-TL values had high correlations but were highly dependent on duration, not perceived exertion. When addressing load in American football, duration of the session is a key component in determining internal load as HR data and sRPE alone do not correlate highly with external loads.


Neurosurgery ◽  
2008 ◽  
Vol 62 (6) ◽  
pp. 1408
Author(s):  
Jay Jagannathan ◽  
Adam S. Kanter ◽  
Charles Y. Liu ◽  
James Mills ◽  
Jason P. Sheehan ◽  
...  

Author(s):  
Rebecca M. Hirschhorn ◽  
Jessica L. Phillips Gilbert ◽  
Danielle A. Cadet ◽  
Tenley E. Murphy ◽  
Clinton Haggard ◽  
...  

American football athletes are frequently hypohydrated before and during activity. Hypohydration increases the risk of exertional sickling in student-athletes with sickle cell trait (SCT). The authors examined weight charts from the 2010/2011 to 2018/2019 seasons at one Division I institution to determine if differences in percentage body mass losses (%BML) exist between those with and without SCT. Seventeen student-athletes with SCT and 17 matched-controls were included. A Bonferroni correction was applied to account for multiple comparisons (0.05/8), resulting in p < .006 considered significant. There was a significant difference for %BML between groups (SCT: 0.84 ± 0.65% vs. control: 1.21 ± 0.71%; p = .002) but not for the number of days %BML exceeded 2% (SCT: 0 ± 1 vs. control: 1 ± 1; p = .016). Implementation of proper hydration strategies minimized %BML in athletes with SCT, decreasing the risk of hypohydration and exertional sickling. The same strategies ensured all players remained below threshold to optimize performance and reduce heat illness risk.


Author(s):  
D. Scott Davis ◽  
Bradley J. Barnette ◽  
Justin T. Kiger ◽  
Jim J. Mirasola ◽  
Stephen M. Young

2013 ◽  
Vol 27 (10) ◽  
pp. 2737-2742 ◽  
Author(s):  
Brennan J. Thompson ◽  
Eric D. Ryan ◽  
Eric J. Sobolewski ◽  
Doug B. Smith ◽  
Kazuma Akehi ◽  
...  

2017 ◽  
Vol 31 (10) ◽  
pp. 2719-2727 ◽  
Author(s):  
Eric T. Trexler ◽  
Abbie E. Smith-Ryan ◽  
Malia N.M. Blue ◽  
Richard M. Schumacher ◽  
Jerry L. Mayhew ◽  
...  

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