Examining Acute Symptoms After Sport-Related Concussion in Collegiate Athletes With Preinjury Migraines
Abstract
OBJECTIVE: To examine whether a personal history of migraines is associated with worse acute symptom burden after sport-related concussion (SRC).
DESIGN: Retrospective cohort study.
SETTING: National Collegiate Athletic Association Division III collegiate programs.
PARTICIPANTS: Collegiate athletes from a prospective concussion surveillance system between 09, 2014, and 01, 2023.
INTERVENTION: Preinjury migraines (yes/no) were self-reported by athletes.
MAIN OUTCOME MEASURES: Post-Concussion Symptom Scale (PCSS) were collected within 3 days postinjury. Mann-Whitney U tests compared total PCSS scores and individual symptom scores between athletes with and without preinjury migraines. Chi-squared tests were used to compare proportions of athletes endorsing individual symptoms (ie, item score ≥1) between 2 groups. Multivariable regression analyzed potential predictors of PCSS scores.
RESULTS: Of 1190 athletes with SRC, 93 (7.8%) reported a preinjury history of migraines. No significant difference in total PCSS scores was found between athletes with and without preinjury migraines (22.0 ± 16.4 vs 20.5 ± 15.8, U = 48 719.0, P = 0.471). Athletes with preinjury migraines reported greater severity of "sensitivity to light" (1.59 ± 1.59 vs 1.23 ± 1.41, P = 0.040) and "feeling more emotional" (0.91 ± 1.27 vs 0.70 ± 1.30; P = 0.008) and were more likely to endorse "feeling more emotional" (45.2% vs 29.5%, P = 0.002). No differences were found across all other symptoms, including…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.