TY  - JOUR
PY  - 2019//
TI  - Predictors of post-concussion symptom severity in a university-based concussion clinic
JO  - Brain injury
A1  - Houck, Zac
A1  - Asken, Breton
A1  - Bauer, Russell
A1  - Clugston, James
SP  - 480
EP  - 489
VL  - 33
IS  - 4
N2  - OBJECTIVE: To investigate potential predictors of acute post-concussion symptom severity in a university population. <br><br>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. <br><br>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). <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 0269-9052
UR  - http://dx.doi.org/10.1080/02699052.2019.1565897
ID  - ref1
ER  -