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Sheriece Sadberry and Michael Mobley

Research has shown that African American college students have a difficult time adjusting at predominately White institutions (PWIs) in comparison with historically Black colleges and universities (HBCUs) with regard to both general and race-related stressors (Neville, Heppner, Ji, & Thye, 2004; Prillerman, Myers, & Smedley, 1989; Sedlacek, 1999). For college student-athletes, the campus environment can challenge their capacity to ft in and adhere to academic and social expectations, perhaps especially for Black student-athletes (BSA). The current study therefore examined the sociocultural and mental health adjustment of 98 BSA based on their perceived social support, perceived campus racial climate, team cohesion, and life events using latent profle analysis (LPA). Results indicated three distinct profile groups: Low Social Support/Cohesion, High Minority Stress, and High Social Support/Cohesion. Profiles were predictive of adjustment concerns and campus setting (PWIs vs. HBCUs), highlighting within-group differences among BSA. Implications for interventions to facilitate and support healthy adjustment and success for BSA are discussed.

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Matthew D. Bird, Graig M. Chow, Gily Meir and Jaison Freeman

females. Within the student-athlete sample, participants identified as being Caucasian ( n  = 51), African American ( n  = 34), Hispanic ( n  = 7), Multi-ethnic ( n  = 6), Other ( n  = 2), and Asian ( n  = 1). Participants in the non-athlete group identified as being Caucasian ( n  = 51), African American

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Hayley Perelman, Joanna Buscemi, Elizabeth Dougherty and Alissa Haedt-Matt

.8%). The majority of the sample was Caucasian (66.0%), followed by African American/Black (10.5%), Asian/Pacific Islander (10.5%), Hispanic/Latino (9.9%), and Other (3.1%). Of note, 6.8% of the sample self-reported a history of disordered eating. Measures Participants completed a demographic measure that

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Pooja Somasundaram and Alexandra M. Burgess

-women’s college. Mean participant age was 19.31 years (range 17 to 24). There were 272 participants who reported being athletes (56.9%). Participants self-identified as the following ethnicities: 70.3% White/Caucasian, 13.3% Asian/Pacific Islander, 6.6% Hispanic/Latino, 5.0% Black/African American, 0.4% American

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Ashley A. Hansen, Joanne E. Perry, John W. Lace, Zachary C. Merz, Taylor L. Montgomery and Michael J. Ross

soccer (45%), basketball (21.9%) or volleyball (4.9%). The remaining participants were involved in other sports, including track and field/cross country, swimming, baseball, and softball. Regarding racial/ethnic identity, participants identified as the following: Caucasian (69.9%), African American

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Shelby J. Martin and Timothy Anderson

sport (62.2%; 37.8% individual). Participants ranged in age from 18–24 ( M [ SD ] = 18.92 [1.10]) years with body mass indexes ranging from 17.11 to 40.61 ( M [ SD ] = 23.64 [4.14]). Most identified as White (90%), with 6.0% identifying as African American, 1.0% as Asian, and 3.0% as bi- or multi

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Joanne Perry, Ashley Hansen, Michael Ross, Taylor Montgomery and Jeremiah Weinstock

protocol. Of the sample, 75% identified as Caucasian/White and 25% identified as African-American/Black. On average, athletes had been participating in their sport for 14.60 years ( SD  = 1.88, min  = 11, max  = 18). The sample included 9 freshmen (45%), 5 sophomores (25%) and 6 juniors (30%). Throughout

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Laurel W. Sheffield and Lauren A. Stutts

/Asian American, 5.1% as biracial, 3.4% as African American/Black, 1.7% as multiracial, 0.4% as Native Hawaiian/Pacific Islander, and 17.4% did not indicate their race. Additionally, 3.8% of participants identified as Hispanic/Latinx. Division I athletes had played their respective sport for an average of 10

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Bradley Donohue, Marina Galante, Julia Maietta, Bern Lee, Nina Paul, Joanne E. Perry, Arianna Corey and Daniel N. Allen

assessment. Table 1 Participant Demographics Total Sample ( N  = 289) Demographic M SD Age in Years 19.85 1.97 GPA 3.07 0.70 n % Gender  Male 145 50.17  Female 144 49.83 Ethnicity  White/Caucasian 118 40.83  Black/African-American 44 15.22  Asian American/Pacific Islander 35 12.11  Hispanic/Latino 35 12

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Byron L. Zamboanga, Nathan T. Kearns, Janine V. Olthuis, Heidemarie Blumenthal and Renee M. Cloutier

. Table 1 Demographics, General Alcohol Consumption, and Drinking Game Behaviors at Timepoints 1 and 2 Variable Timepoint 1 (T1) Timepoint 2 (T2) Age (in years) 20.35 ± 1.07 21.18 ± 0.97  Range 18–23 19–24 Race/Ethnicity  Asian 2 (4.1%)    African-American 1 (2.0%)    White/Caucasian 42 (85