The Making of a College Athlete: High School Experiences, Socioeconomic Advantages, and the Likelihood of Playing College Sports

2021 ◽  
pp. 1-12
Author(s):  
James Tompsett ◽  
Chris Knoester

Understandings of who plays college sports are dominated by assumptions that lack academic scrutiny. Using the Education Longitudinal Study (N = 7,810) and multilevel modeling, this study examines the extent to which high school indicators of family socioeconomic statuses, athletic development and merit, academic expectations and knowledge, and school contexts predict the likelihood of becoming a college athlete. The authors find evidence that supports our understanding of the process of becoming a college athlete being shaped by family socioeconomic status. Still, high school sport participation characteristics, academic expectations and knowledge, and school contexts also seem to offer independent contributions to the odds of becoming a college athlete. Overall, these results suggest that college athletic opportunities are not simply a function of athletic merit, based on unique analyses of quantitative empirical evidence from a large national sample of high school students.

2001 ◽  
Vol 10 (1) ◽  
pp. 47-53 ◽  
Author(s):  
A. Roussos ◽  
K. Francis ◽  
V. Zoubou ◽  
S. Kiprianos ◽  
A. Prokopiou ◽  
...  

2021 ◽  
Vol 9 (2) ◽  
pp. 613-619
Author(s):  
Sermet Toktas ◽  

This study aims to investigate the relationship between aggression and sports participation motives of Sports High School students in Adıyaman, Kahramanmaraş, and Malatya provinces in Turkey. 575 Sports High School students, including 385 males and 190 females, participated in our research. Surveys used to measure variables included a 30-item sports participation motivation scale a 30-item “aggression inventory”. Reliability and validity studies of the sport participation motive scale were done by Gill et al, and it was determined that Cronbach's alpha coefficients were between 0.30 and 0.78 for the sub-dimensions. The Cronbach's alpha internal consistency coefficient of the aggression scale was calculated as .83. According to our findings, there was a moderately positive relationship between assertiveness, which is the sub-dimension of aggression, and competition, and friends, which is the sub-dimension of the motivation to participate in sports. A moderately significant negative correlation was found with the sub-dimensions of aggression and entertainment, which is the sub-dimension of the motivation to participate in sports. A moderately significant positive relationship was found with destructive aggression, which is the sub-dimensions of aggression, and success and status, and competition, which are the sub-dimensions of participation in sports.


2015 ◽  
Vol 34 (3) ◽  
pp. 289-295 ◽  
Author(s):  
Xiaozhou Zhang ◽  
Virginia M. C. Tze ◽  
Erin Buhr ◽  
Robert M. Klassen ◽  
Lia M. Daniels

2018 ◽  
Vol 10 (9) ◽  
pp. 3104 ◽  
Author(s):  
Lovro Štefan ◽  
Marjeta Mišigoj-Duraković ◽  
Antonela Devrnja ◽  
Hrvoje Podnar ◽  
Vilko Petrić ◽  
...  

Background: The aim of the present study was to investigate the extent of tracking of physical activity (PA), sports participation (SP), and sedentary behaviors (SB) over four years of high school education among the Croatian Physical Activity in Adolescence Longitudinal Study (CRO-PALS) cohort. Methods: In this investigation, participants were 844 high school students (15.6 years at baseline; 49% girls). The SHAPES questionnaire was used to assess PA, SP, and SB at ages 15, 16, 17, and 18 and tracking was assessed using generalized estimating equations. Results: Tracking coefficients for PA were similar in both sexes, ranged from 0.49 to 0.61, and indicated moderate tracking, while the tracking of SB tended to be somewhat higher over the four years of follow-up (β = 0.60–0.72). Youth that participated in sports at baseline had a 16 to 28 times higher odds of continued participation at follow-up, depending on the type of sport and gender. Finally, both low physical activity and high screen time showed strong tracking in both genders. Conclusion: PA and SB tracked moderately between ages 15 and 18. Moreover, the strong tracking of low PA and high screen time indicates that the detection of these risk factors at the beginning of high school should be advocated.


2018 ◽  
Vol 6 (1) ◽  
pp. 232596711775138 ◽  
Author(s):  
David R. Bell ◽  
Eric G. Post ◽  
Stephanie M. Trigsted ◽  
Daniel A. Schaefer ◽  
Timothy A. McGuine ◽  
...  

Background: Sport specialization has been associated with overuse injuries and is more common in larger high schools, which are often located in more urban/suburban settings. However, sport participation characteristics have not been compared between suburban and rural high schools. Purpose/Hypothesis: The purpose of this study was to examine the differences in sport participation characteristics between athletes at suburban and rural high schools. It was hypothesized that suburban high school students would be more likely to be highly specialized, participate in more athletic competitions per year, and play in a league outside of school. We also hypothesized that suburban high school students would start playing their primary sport at a younger age, would have participated in their primary sport for longer, and would play more months per year and hours per week. Study Design: Cross-sectional study. Methods: High school athletes from 4 high schools (2 suburban and 2 rural) participated in this study (N = 354 [222 females]; mean age, 15.7 ± 1.2 years). Athletes were on a school-sponsored athletic team in 1 of 4 sports (volleyball, tennis, basketball, soccer). The suburban schools (study enrollment, n = 226) had total school enrollments of 2271 and 622 students, while the rural schools (study enrollment, n = 128) had total school enrollments of 443 and 297. Participants completed a questionnaire prior to the start of their high school sport season. The questionnaire consisted of demographic information, a sport specialization scale, and sport participation information. Primary sport competition volume in the previous 12 months was classified as high (>60 primary sport competitions), moderate (30-60), or low (<30). Sport specialization status was classified via a 3-point scale as low, moderate, or high. Results: As compared with athletes at rural schools, athletes at suburban schools started playing their primary sport at a younger age (suburban, 7.8 ± 2.9 years; rural, 9.7 ± 3.2 years; P < .001) and participated for more years (suburban, 7.9 ± 3.1 years; rural, 6.1 ± 3.3 years; P < .001), more months per year (suburban, 7.6 ± 3.6 months; rural, 5.6 ± 2.8 months; P < .001), and more hours per week (suburban, 15.2 ± 5.1 hours; rural, 12.9 ± 3.3 hours; P < .001). Athletes at suburban schools were more likely than rural athletes to be classified as highly specialized (χ2 = 52.5, P < .001), participate in more competitions (χ2 = 16.5, P < .001), play in a league outside of school (χ2 = 18.4, P < .001), and train in their primary sport for >8 months per year (χ2 = 27.8, P < .001) and >16 hours per week (χ2 = 15.0, P < .001). Conclusion: High school athletes at suburban schools are more likely to exhibit sport participation patterns that are associated with increased risk of overuse injury. These include being classified as highly specialized, playing their primary sport >8 months per year and >16 hours per week, engaging in a high competition volume, and participating in a sport league (eg, club) outside of school. Efforts aimed at safe sport participation should target these groups, as they seem more likely to violate safe sport recommendations.


2016 ◽  
Vol 77 (6) ◽  
pp. 980-985 ◽  
Author(s):  
Mike C. Parent ◽  
Tyler C. Bradstreet ◽  
Margaret Piper ◽  
Travis Brace ◽  
Thomas J. Parkman

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