Predictors of post-concussion symptom severity in a university-based concussion clinic.

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Predictors of post-concussion symptom severity in a university-based concussion clinic.

Brain Inj. 2019 Jan 09;:1-10

Authors: Houck Z, Asken B, Bauer R, Clugston J

Abstract
OBJECTIVE: To investigate potential predictors of acute post-concussion symptom severity in a university population.
METHODS: Data were obtained from the University of Florida Student Health Care Center Concussion Databank. Symptom severity, measured by the Sport Concussion Assessment Tool – third edition Symptom Evaluation (S3SE), was analyzed at 0-3 (n = 99) and 7-14 days (n = 56) post-concussion. Participants were 99 (56 females; age range: 18-30) students from the University of Florida who had been referred to the center’s Concussion Clinic. Independent samples t-test and Mann-Whitney U were used to assess group differences in overall and domain-specific symptom severity, respectively. Hierarchical regressions were used to assess predictors of symptom severity at 0-3 and 7-14 days, as well as residual symptom change between time points.
RESULTS: Female sex (β = .293; p = .002) and history of ADHD (β = .312; p = .001) predicted greater symptom severity at 0-3 days. History of motion sickness predicted lower symptom severity (β = -.199; p = .033). ADHD (β = .284; p = .009) and higher 0-3-day physical symptoms (β = .552; p < .001) predicted greater symptom severity at 7-14 days. ADHD predicted residual symptom severity change between time points (β = .433; p = .001).
CONCLUSION: ADHD, female sex, and acute physical symptoms (0-3 days) represent risk factors for greater symptom severity in the first two weeks post-concussion among college students.

PMID: 30626213 [PubMed – as supplied by publisher]

via https://www.ncbi.nlm.nih.gov/pubmed/30626213?dopt=Abstract


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