scholarly journals EFFECTS OF A COMPETITIVE WRESTLING SEASON ON BODY COMPOSITION,STRENGTH, AND POWER IN NATIONAL COLLEGIATE ATHLETIC ASSOCIATION DIVISION III COLLEGE WRESTLERS

2005 ◽  
Vol 19 (3) ◽  
pp. 505-508 ◽  
Author(s):  
W. DANIEL SCHMIDT ◽  
CONNON L. PIENCIKOWSKI ◽  
RYAN E. VANDERVEST
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.


2011 ◽  
Vol 4 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Coyte G. Cooper ◽  
David Pierce

With the growing popularity of the Internet as a communication medium, National Collegiate Athletic Association (NCAA) athletic departments have turned to their Web sites to build interest in their product among consumers. As sites continue to develop traffic, it is important to examine the coverage being provided on the home Web pages to determine whether equitable coverage is being allocated to men’s and women’s nonrevenue sport teams. The current research featured a content analysis of NCAA divisional Web-site coverage during an academic school year. From a broad perspective, the results indicated that only Division III provided equitable gender and individual team coverage allocations on its home Web pages. In contrast, the data also supported the notion that Division I athletic programs (Football Bowl Subdivision [FBS] and Football Championship Subdivision [FCS]) provided significantly more coverage to men’s baseball, men’s basketball, and men’s football than nonrevenue-sport teams. The FBS and FCS coverage inequalities are discussed in depth in the article.


2014 ◽  
Vol 46 ◽  
pp. 56
Author(s):  
Monica P. Bonitatis ◽  
Joyann E. Oakman ◽  
Albert N. Desiderio ◽  
Michael P. Neal ◽  
Christina M. Cromwell ◽  
...  

2018 ◽  
Vol 3 (2) ◽  
pp. 76
Author(s):  
Andreas Stamatis ◽  
Zacharias Papadakis

The majority of American student-athletes participate in National Collegiate Athletic Association (NCAA) programs. Those programs are categorized into three different Divisions, which demonstrate differences in athletic scholarship support, level of competition, and philosophy. Among them, Division III (DIII) institutions account for the highest percentage of schools who play collegiate sports, followed by Division I (DI). Recent events and evidence on depression and suicide, anxiety, disordered eating and eating disorders, and substance use and abuse have raised awareness on mental health difficulties in this specific population of young adults. The purpose of this study is to add to the current state of knowledge by investigating whether there are differences in the promotion of a wellness lifestyle between a DI and a DIII university. Using an online interview created by Côté, Ericcson, and Law (2005) all student athletes from both Rice University (DI) and State University of New York (SUNY) at Plattsburgh (DIII) were recruited via email. Sixty-three participated from Rice and 90 from SUNY Plattsburgh. The response rate was 17% and 29%, respectively. Descriptive statistics and parametric tests were used in data analysis. By comparing these two case studies, differences with statistical significance were found in the current activities of sleeping, socializing, school/career, and studying. These differences infer that a DIII school may be promoting a wellness lifestyle more than a DI school. Possible limitations are the use of unequal samples and self-reported data. Future research on comparing more cases of different Division schools is recommended.


2016 ◽  
Vol 2 (2) ◽  
pp. 267 ◽  
Author(s):  
Randall Bowden ◽  
Kayleigh McCauley

<p>In September 2011, the National Collegiate Athletic Association (NCAA) announced the <em>Policy on Transgender Inclusion</em>. It provides guidelines for transgender student athletes to participate in sex-separated athletic teams according to their gender identity. The <em>2012 LGBTQ National College Athlete Report</em>, the first of its kind, provided information to help serve gay, lesbian, bisexual, transgender, and queer (GLBTQ) students. Although the <em>Policy on Transgender Inclusion</em> has been around since 2011 and the <em>2012 Report</em> provided insights, the extent by which best practices have been implemented has not been adequately explored. This study examined the relationship of athletic directors’ leadership frames to transgender inclusion policies at institutions with NCAA athletics. Athletic directors from active member NCAA schools were contacted: 340 in Division I; 290 in Division II; and 436 in Division III. Leadership was examined according to the Multi-frame Model for Organizations in addition to Intersectionality Theory. The human resource frame was the most common and the political frame was the least. There were no statistically significant differences among NCAA Divisions or between private and public institutions. Although athletic directors acknowledged transgender policies and were aware of the legal parameters, lack of policy presence was prevalent on campuses.</p>


Sports ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 87
Author(s):  
Andrew R. Jagim ◽  
Jason Murphy ◽  
Alexis Q. Schaefer ◽  
Andrew T. Askow ◽  
Joel A. Luedke ◽  
...  

Research describing the match and specific positional demands during match play in women’s collegiate soccer is limited. The purpose of the study was to quantify the match demands of National Collegiate Athletic Association (NCAA) Division III soccer and assess position differences in movement kinematics, heart rate (HR), and energy expenditure. Twenty-five Division III women soccer players (height: 1.61 ± 0.3 m; body mass: 66.7 ± 7.5 kg; fat-free mass: 50.3 ± 6.5 kg; body fat%: 25.6 ± 5.1%) were equipped with a wearable global positioning system to assess the demands of 22 matches throughout a season. Players were categorized by position (goal keepers (GK), center defenders (CB), flank players (FP), forwards (F), and center midfielders (CM)). Players covered 9807 ± 2588 m and 1019 ± 552 m at high speeds (>249.6 m·m−1), with an overall average speed of 62.85 ± 14.7 m·m−1. This resulted in a mean HR of 74.2 ± 6% HR max and energy expenditure of 1259 ± 309 kcal. Significant and meaningful differences in movement kinematics were observed across position groups. CM covered the most distance resulting in the highest training load. FP covered the most distance at high speeds and mean HR values were highest in CM, CB, and FP positions.


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