To determine risk factors associated with concussion among the general collegiate population using a unique data linkage methodology.Student health medical, counseling, and disability access service data were linked with university enrollment data to provide a comprehensive, deidentified dataset of students who sought care at the student health center for concussion from 2016-2020. Using chi-squared tests and logistic regression, characteristics of students with and without concussion were evaluated.During the study period, 506 concussions from 474 students were identified (cumulative incidence rate of 51.7 per 10,000 students). Significant predictors of concussion included: younger age (21 years): odds ratio (OR) = 3.52 (95% confidence intervals [CI], 2.78, 4.50), Greek affiliation: OR = 1.89 (95% CI, 1.56, 2.30), and utilization of counseling and psychological services: OR = 1.92 (95% CI 1.59, 2.32). Of the students with concussion, 47% had at least one other concussion within the preceding year. History of prior hospitalization or medical imaging for head injury increased subsequent concussion risk by 4.5 fold.Linking unique datasets provides a richer understanding of the characteristics and risk factors associated with student concussions than analysis of a single data source. This comprehensive dataset will enable future targeted interventions to prevent and treat college student concussions.
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