Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports

Q3 Medicine Concussion Pub Date : 2024-01-16 DOI:10.2217/cnc-2023-0002
Lisa A Spielman, J. Maruta, J. Ghajar
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Abstract

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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双重统计模型将基线视觉注意力测量与运动中出现明显症状性脑震荡的风险联系起来
目的:季前运动测试可以为脑震荡后的对比建立功能基线。至于这种测试是否能预测未来脑震荡的影响,目前还知之甚少。材料与方法:生成了两套脑震荡重大负担模型:使用一系列逻辑回归的传统方法和使用弹性网的惩罚回归方法。结果:对 3091 名青少年和成年运动员进行了基线评估。其中 90 人随后经历了脑震荡,35 人在两周内接受测试时仍有明显的脑震荡症状。两个模型都将之前的头部受伤史和视觉注意力相关指标与脑震荡的重大负担联系起来。结论赛季前的视觉注意力测试可以识别出哪些运动员有可能出现严重的运动相关脑震荡。
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来源期刊
Concussion
Concussion Medicine-Neurology (clinical)
CiteScore
2.70
自引率
0.00%
发文量
2
审稿时长
12 weeks
期刊最新文献
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