scholarly journals Seasonal Body Composition Changes in Division I Cross Country Runners

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 909
Author(s):  
Katie R. Hirsch ◽  
Malia N.M. Blue ◽  
Gabrielle J. Brewer ◽  
Austin M. Peterjohn ◽  
Abbie E. Smith-Ryan
2014 ◽  
Vol 46 ◽  
pp. 266-267
Author(s):  
Erica J. Roelofs ◽  
Abbie E. Smith-Ryan ◽  
Malia N. Melvin ◽  
Hailee L. Wingfield ◽  
Eric T. Trexler ◽  
...  

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 25
Author(s):  
Jesse A. Goodrich ◽  
Sewan Kim ◽  
Dillon J. Frisco ◽  
Kimberly Detwiler ◽  
Miguel Rueda ◽  
...  

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S208
Author(s):  
Jason A. Suby ◽  
Todd A. Crowder ◽  
Josef H. Moore

2009 ◽  
Vol 21 (3) ◽  
pp. 318-328 ◽  
Author(s):  
Marc Bonis ◽  
Mark Loftin ◽  
Richard Speaker ◽  
Anthony Kontos

The purpose of the study was to investigate the seasonal relationship of athletic amenorrhea and body composition in elite, adolescent, cross-country runners. The participants consisted of 28 female adolescent cross-country runners (mean age ± SD = 15.4 ± 1.5 years); 17 eumenorrheics and 11 amenorrheics. The participants’ body composition was measured pre- and postseason using dual-energy X-ray Absorptiometer (DXA). The eumenorrheics’ postseason BMD was significantly greater than the amenorrheics’ postseason BMD (F(1,54) = 16.22, p < .05, partial η2 = .231). The eumenorrheics’ postseason bodyweight (F(1,54) = 7.65, p < .05, partial η2 = .124), BF (F(1,54) = 8.56, p < .05, partial η2 = .137), and BMC (F(1,54) = 8.52, p < .05, partial η2 = .136) were significantly greater than the amenorrheic subgroup. There was also a significant seasonal increase in BMD (t(27) = –4.01, p < .05) for the overall group and the eumenorrheic subgroup (t(16) = –3.90, p < .05). Bodyweight best predicted BMD (F(1,26) = 46.434, p < .05, R2 = .641). In the study, athletic amenorrhea was highly associated with lower levels of BMD in the participants, and crosscountry running was highly associated with increased BMD.


2020 ◽  
Vol 52 (7S) ◽  
pp. 71-71
Author(s):  
Michael P. Martinez ◽  
William P. McCormack ◽  
Hawley C. Almstedt ◽  
Todd C. Shoepe

2021 ◽  
Vol 12 ◽  
Author(s):  
David R. Hooper ◽  
Jared Mallard ◽  
Jeff T. Wight ◽  
Kara L. Conway ◽  
George G.A. Pujalte ◽  
...  

The purpose of this case series was to evaluate the presence of low Energy Availability (EA) and its impact on components of Relative Energy Deficiency in Sport (RED-S) in a population of female collegiate runners. Seven female NCAA Division I athletes (age: 22.3 ± 1.5 yrs; height: 169.7 ± 5.7 cm; weight: 58.3 ± 4.1 kg) were tracked from August until February, covering the beginning (Pre XC), end (Post XC) of their competitive cross country season, and beginning of the following track season (Pre Track). The athletes were assessed for female athlete triad (Triad) risk, energy availability, body composition, resting metabolic rate (RMR), nutritional intake, and blood markers (including vitamin D, ferritin, and triiodothyronine (T3)). From Pre XC to Post XC there were no significant differences in body mass, fat free mass or body fat percentage. At Pre XC, mean EA was 31.6 ± 13.3 kcal/kg FFM∙d-1. From Post XC to Pre Track, there was a significant increase in body mass (59.1 ± 5.1 to 60.6 ± 5.7 kg, p&lt;0.001,d=0.27). From Post XC to Pre Track, there was a significant increase in RMR (1466 ± 123.6 to 1614.6 ± 89.1 kcal·d-1, p&lt;0.001,d=2.6). For 25(OH) vitamin D, there was a significant reduction from Pre XC to Post XC (44.1 ± 10.6 vs 39.5 ± 12.2 ng·mL-1, p=0.047,d=-0.4), and a significant increase from Post XC to Pre Track (39.5 ± 12.2 vs. 48.1 ± 10.4 ng·mL-1, p=0.014,d=0.75). For ferritin, there was a trend towards a decrease from Pre XC to Post XC (24.2 ± 13.2 vs. 15.7 ± 8.8 ng·mL-1, p=0.07, d=-0.75), as well as a trend toward an increase from Post XC to Pre Track (15.7 ± 8.8 vs. 34.1 ± 18.0 ng·mL-1, p=0.08, d=1.3). No differences in T3 were observed across time points. Average Triad risk score was 2.3 ± 1.4. Notably, 5 of 7 athletes met criteria for moderate risk. Despite many athletes meeting criteria for low EA and having elevated Triad risk assessment scores, most were able to maintain body mass and RMR. One athlete suffered severe performance decline and a reduced RMR. Surprisingly, she was the only athlete above the recommended value for ferritin. Following increased nutritional intake and reduced training volume, her performance and RMR recovered. Changes in body mass and body composition were not indicative of the presence of other concerns associated with RED-S. This exploratory work serves as a guide for future, larger studies for tracking athletes, using RMR and nutritional biomarkers to assess RED-S.


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