The relationship between athletic participation and depressive symptom risk among college students remains complex and contested, with prior research yielding inconsistent findings regarding whether sports involvement serves as a protective correlate or a correlate of psychological vulnerability. Using cross-sectional survey data from 795 undergraduate students at a large public university in the northeastern United States, this study employed machine learning methods to examine how athletic ide
Athletic identity and depressive symptom risk in college students: a machine learning approach to identify at-risk profiles and protective correlates
Deqing Chang
