Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports
Aim: Athletic pre-season testing can establish functional baseline for comparison following concussion. Whether impacts of future concussions may be foretold by such testing is little known. Materials & methods: Two sets of models for a significant burden of concussion were generated: a traditio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Aldus Press
2023-12-01
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| Series: | Concussion |
| Subjects: | |
| Online Access: | https://www.futuremedicine.com/doi/10.2217/cnc-2023-0002 |
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| Summary: | Aim: Athletic pre-season testing can establish functional baseline for comparison following concussion. Whether impacts of future concussions may be foretold by such testing is little known. Materials & methods: Two sets of models for a significant burden of concussion were generated: a traditional approach using a series of logistic regressions, and a penalized regression approach using elastic net. Results: 3091 youth and adult athletes were baseline-assessed. 90 subsequently experienced concussion and 35 were still experiencing a significant burden of concussion when tested within two weeks. Both models associated prior history of head injury and visual attention-related metrics with a significant burden of concussion. Conclusion: Pre-season testing of visual attention may identify athletes who are at risk for significant sports-related concussion. |
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| ISSN: | 2056-3299 |