Athletic Identity and Student Involvement of Female Athletes at NCAA Division III Women's and Coeducational Colleges

2006 ◽  
Vol 47 (4) ◽  
pp. 457-464 ◽  
Author(s):  
Alexa C Mignano ◽  
Britton W Brewer ◽  
Christa R. Winter ◽  
Judy L Van Raalte
2016 ◽  
Vol 25 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Jason Brumitt ◽  
Bryan C. Heiderscheit ◽  
Robert C. Manske ◽  
Paul Niemuth ◽  
Alma Mattocks ◽  
...  

Context:The Lower-Extremity Functional Test (LEFT) has been used to assess readiness to return to sport after a lowerextremity injury. Current recommendations suggest that women should complete the LEFT in 135 s (average; range 120–150 s) and men should complete the test in 100 s (average; range 90–125 s). However, these estimates are based on limited data and may not be reflective of college athletes. Thus, additional assessment, including normative data, of the LEFT in sport populations is warranted.Objective:To examine LEFT times based on descriptive information and off-season training habits in NCAA Division III (DIII) athletes. In addition, this study prospectively examined the LEFT’s ability to discriminate sport-related injury occurrence.Design:Descriptive epidemiology.Setting:DIII university.Subjects:189 DIII college athletes (106 women, 83 men) from 15 teams.Main Outcome Measures:LEFT times, preseason questionnaire, and time-loss injuries during the sport season.Results:Men completed the LEFT (105 ± 9 s) significantly faster than their female counterparts (117 ± 10 s) (P < .0001). Female athletes who reported >3–5 h/wk of plyometric training during the off-season had significantly slower LEFT scores than those who performed ≤3 h/wk of plyometric training (P = .03). The overall incidence of a lower-quadrant (LQ) time-loss injury for female athletes was 4.5/1000 athletic exposures (AEs) and 3.7/1000 AEs for male athletes. Female athletes with slower LEFT scores (≥118 s) experienced a higher rate of LQ time-loss injuries than those with faster LEFT scores (≤117 s) (P = .03).Conclusion:Only off-season plyometric training practices seem to affect LEFT score times among female athletes. Women with slower LEFT scores are more likely to be injured than those with faster LEFT scores. Injury rates in men were not influenced by performance on the LEFT.


2008 ◽  
Vol 40 (Supplement) ◽  
pp. S436
Author(s):  
Leigh A. Sears ◽  
Nancy A. Rudd ◽  
Diane Habash ◽  
Janet Buckworth

2021 ◽  
pp. 216747952110129
Author(s):  
Alaina C. Zanin ◽  
Laura V. Martinez ◽  
Lucy C. Niess

This study employed a turning point analysis to document events that influence the development of athletic identities in female athletes transitioning into high school. All participants ( N = 28), between the ages of 14–15 years old, belonged to a competitive club soccer team located in the southwestern United States. Through an analysis of pre- and post-season interviews and bi-weekly video journal entries, data revealed several fragmenting turning point events related to participants’ athletic identity development. These fragmenting turning points paired with the communication theory of identity (CTI) framework highlighted three identity gaps: (a) athletic-relational, (b) athletic-communal, and (c) athletic-enacted. Theoretical and practical implications are discussed regarding turning points in relation to athletic identity development and gender disparities in sport participation.


2016 ◽  
Vol 9 (3) ◽  
pp. 321-339 ◽  
Author(s):  
Evan K. Perrault

Despite being the largest subset of the NCAA, Division III sports programs have had very little research dedicated to them regarding student attendance motivations. This study surveyed 620 undergraduate students at a midsize Division III school (total enrollment 10,902) to determine their attitudes toward attending athletic events and potential motivators for getting them into the stands. Students who had personally interacted with an athlete or coach had better attitudes toward university athletics than those who had not. Results also supported predictions of the theory of planned behavior, finding that attitudes toward individual sports were the strongest predictor of intentions to attend future games. Open-ended responses also asked students why they do not attend games and what would get them to attend more games. Analyses of these responses are followed by key recommendations for communications professionals at similar-size institutions seeking ways to increase student attendance at their athletic events.


2014 ◽  
Vol 17 (6) ◽  
pp. 558-577 ◽  
Author(s):  
Russell D. Kashian ◽  
Jeff Pagel

2012 ◽  
Vol 20 (2) ◽  
pp. 115-120
Author(s):  
Kevin Burfeind ◽  
Junggi Hong ◽  
Stasinos Stavrianeas

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