scholarly journals Effects Of In-season Training On Body Composition In Division I Collegiate Football Players

2021 ◽  
Vol 53 (8S) ◽  
pp. 45-45
Author(s):  
Kayla Emory ◽  
Clayton L. Camic ◽  
Emerson Sebastião ◽  
Christopher M. Hill ◽  
Ryan Napoli ◽  
...  
2012 ◽  
Vol 47 (3) ◽  
pp. 257-263 ◽  
Author(s):  
Jonathan M. Oliver ◽  
Brad S. Lambert ◽  
Steven E. Martin ◽  
John S. Green ◽  
Stephen F. Crouse

Context: The recent increase in athlete size, particularly in football athletes of all levels, coupled with the increased health risk associated with obesity warrants continued monitoring of body composition from a health perspective in this population. Equations developed to predict percentage of body fat (%Fat) have been shown to be population specific and might not be accurate for football athletes. Objective: To develop multiple regression equations using standard anthropometric measurements to estimate dual-energy x-ray absorptiometry %Fat (DEXA%Fat) in collegiate football players. Design: Controlled laboratory study. Patients and Other Participants: One hundred fifty-seven National Collegiate Athletic Association Division IA football athletes (age  =  20 ± 1 years, height  =  185.6 ± 6.5 cm, mass  =  103.1 ± 20.4 kg, DEXA%Fat  =  19.5 ± 9.1%) participated. Main Outcome Measure(s): Participants had the following measures: (1) body composition testing with dual-energy x-ray absorptiometry; (2) skinfold measurements in millimeters, including chest, triceps, subscapular, midaxillary, suprailiac, abdominal (SFAB), and thigh; and (3) standard circumference measurements in centimeters, including ankle, calf, thigh, hip (AHIP), waist, umbilical (AUMB), chest, wrist, forearm, arm, and neck. Regression analysis and fit statistics were used to determine the relationship between DEXA%Fat and each skinfold thickness, sum of all skinfold measures (SFSUM), and individual circumference measures. Results: Statistical analysis resulted in the development of 3 equations to predict DEXA%Fat: model 1, (0.178 • AHIP) + (0.097 • AUMB) + (0.089 • SFSUM) − 19.641; model 2, (0.193 • AHIP) + (0.133 • AUMB) + (0.371 • SFAB) − 23.0523; and model 3, (0.132 • SFSUM) + 3.530. The R2 values were 0.94 for model 1, 0.93 for model 2, and 0.91 for model 3 (for all, P < .001). Conclusions: The equations developed provide an accurate way to assess DEXA%Fat in collegiate football players using standard anthropometric measures so athletic trainers and coaches can monitor these athletes at increased health risk due to increased size.


Author(s):  
Mary Barth Noel ◽  
Jaci L. VanHeest ◽  
Phil Zaneteas ◽  
Carol D. Rodgers

2015 ◽  
Vol 32 (5) ◽  
pp. 314-326 ◽  
Author(s):  
Christine M. Baugh ◽  
Patrick T. Kiernan ◽  
Emily Kroshus ◽  
Daniel H. Daneshvar ◽  
Philip H. Montenigro ◽  
...  

2003 ◽  
Vol 17 (2) ◽  
pp. 228-237 ◽  
Author(s):  
MARY BARTH NOEL ◽  
JACI L. VANHEEST ◽  
PHIL ZANETEAS ◽  
CAROL D. RODGERS

2017 ◽  
Vol 45 (4) ◽  
pp. 458-462 ◽  
Author(s):  
Nikolas Sarac ◽  
William Haynes ◽  
Angela Pedroza ◽  
Christopher Kaeding ◽  
James Borchers

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S29
Author(s):  
Stephen F. Crouse ◽  
Brent E. Hansen ◽  
Thomas H. Meade ◽  
Greg S. Miller ◽  
Grady Kaiser ◽  
...  

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.


2005 ◽  
Vol 15 (6) ◽  
pp. 641-652 ◽  
Author(s):  
John R. Stofan ◽  
Jeffrey J. Zachwieja ◽  
Craig A. Horswill ◽  
Robert Murray ◽  
Scott A. Anderson ◽  
...  

This observational study was designed to determine whether football players with a history of heat cramps have elevated fluid and sodium losses during training. During a “two-a-day” training camp, five Division I collegiate football players (20.2 ± 1.6 y, 113 ± 20 kg) with history of heat cramps (C) were matched (weight, age, race and position) with a cohort of teammates (19.6 ± 0.6 y, 110 ± 20 kg) who had never cramped (NC). Change in body weight (adjusted by fluid intake) determined gross sweat loss. Sweat samples (forearm patch) were analyzed for sodium and potassium concentrations. Adlibitum fluid intake was measured by recording pre- and post-practice bottle weights. Average sweat sodium loss for a 2.5-h practice was projected at 5.1 ± 2.3 g (C) vs. 2.2 ± 1.7 g (NC). When averaged across two practices within the day, fluid intake was similar between groups (C: 2.6 ± 0.8 L vs. NC: 2.8 ± 0.7 L), as was gross sweat loss (C: 4.0 ± 1.1 L vs. NC: 3.5 ± 1.6 L). There was wide variability in the fluid deficit incurred for both C and NC (1.3 ± 0.9 vs. 0.7 ± 1.2%) due to fluid intake. Sweat potassium was similar between groups, but sweat sodium was two times higher in C versus NC (54.6 ± 16.2 vs. 25.3 ± 10.0 mmol/L). These data indicate that sweat sodium losses were comparatively larger in cramp-prone football players than in NC. Although both groups consumed sodium-containing fluids (on-field) and food (off-field), both appeared to experience an acute sodium deficit at the end of practices based on sweat sodium losses. Large acute sodium and fluid losses (in sweat) may be characteristic of football players with a history of heat cramping.


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