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共识头加速度测量实践(CHAMP):研究设计和统计分析。

Consensus Head Acceleration Measurement Practices (CHAMP): Study Design and Statistical Analysis.

机构信息

Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24060, USA.

Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA.

出版信息

Ann Biomed Eng. 2022 Nov;50(11):1346-1355. doi: 10.1007/s10439-022-03101-0. Epub 2022 Oct 17.

Abstract

Head impact measurement devices enable opportunities to collect impact data directly from humans to study topics like concussion biomechanics, head impact exposure and its effects, and concussion risk reduction techniques in sports when paired with other relevant data. With recent advances in head impact measurement devices and cost-effective price points, more and more investigators are using them to study brain health questions. However, as the field's literature grows, the variance in study quality is apparent. This brief paper aims to provide a high-level set of key considerations for the design and analysis of head impact measurement studies that can help avoid flaws introduced by sampling biases, false data, missing data, and confounding factors. We discuss key points through four overarching themes: study design, operational management, data quality, and data analysis.

摘要

头部撞击测量设备使我们能够直接从人体收集撞击数据,以便在与其他相关数据结合使用时,研究脑震荡生物力学、头部撞击暴露及其影响,以及运动中的脑震荡预防技术等课题。随着头部撞击测量设备的不断发展和成本效益的提高,越来越多的研究人员正在使用这些设备来研究大脑健康问题。然而,随着该领域文献的不断增加,研究质量的差异也变得明显起来。本文旨在为头部撞击测量研究的设计和分析提供一组高层次的关键考虑因素,以帮助避免因抽样偏差、虚假数据、缺失数据和混杂因素导致的缺陷。我们通过四个总体主题来讨论要点:研究设计、运营管理、数据质量和数据分析。

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