Literature DB >> 34291976

In or out of the game? Counter-stereotype paradoxes and Asian-identified student-athlete mental health.

Alisia G T T Tran1.   

Abstract

OBJECTIVE: This study examines stressors (i.e., discrimination and stereotypes) and buffers (i.e., exercise) relevant to Asian-identified student-athletes' mental health. The study tests a set of counter-stereotype paradox hypotheses positing that conforming to idealized stereotypes of Asians exacerbates discrimination-mental health links.
METHOD: Data were drawn from the 2015-2019 cohorts of the Healthy Minds Study. Regression-based moderations were used to test counter-stereotype paradox hypotheses and a buffering model of exercise.
RESULTS: A-student status was a moderator of the discrimination and lower positive mental health link, and gender and body mass index (BMI) were moderators of the discrimination and anxiety and lower positive mental health links. Consistent with counter-stereotype paradoxes, discrimination and these mental health indicators were significantly correlated for Asian-identified student-athletes who reported being A-students or being underweight/normal-weight women. Results contradicted the counter-stereotype paradox for the discrimination-suicidality relation, which was significant for student-athletes reporting B-grades or lower and not significant for A-students. Exercise appeared to buffer discrimination-mental health associations for depression, anxiety, positive mental health, and disordered eating concerns.
CONCLUSIONS: Results challenge the oft-celebrated Asian American model minority image and signify how both conforming and failing to conform to stereotypes can have benefits and liabilities for Asian-identified student-athletes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Year:  2021        PMID: 34291976     DOI: 10.1037/cdp0000387

Source DB:  PubMed          Journal:  Cultur Divers Ethnic Minor Psychol        ISSN: 1077-341X


  1 in total

1.  Design of Psychological Well-Being Education Environment Scheme Based on Deep Learning Theory.

Authors:  Lingxia Guo
Journal:  J Environ Public Health       Date:  2022-09-01
  1 in total

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