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

Authors :
Rowson, Steve
Mihalik, Jason
Urban, Jillian
Schmidt, Julianne
Marshall, Steve
Harezlak, Jaroslaw
Stemper, Brian D.
McCrea, Mike
Funk, Jim
Source :
Annals of Biomedical Engineering; Nov2022, Vol. 50 Issue 11, p1346-1355, 10p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00906964
Volume :
50
Issue :
11
Database :
Complementary Index
Journal :
Annals of Biomedical Engineering
Publication Type :
Academic Journal
Accession number :
160180073
Full Text :
https://doi.org/10.1007/s10439-022-03101-0