Consensus Head Acceleration Measurement Practices (CHAMP): Study Design and Statistical Analysis. Ann Biomed Eng 2022 Nov;50(11):1346-1355
Date
10/18/2022Pubmed ID
36253602Pubmed Central ID
PMC9652215DOI
10.1007/s10439-022-03101-0Scopus ID
2-s2.0-85140002883 (requires institutional sign-in at Scopus site) 13 CitationsAbstract
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.
Author List
Rowson S, Mihalik J, Urban J, Schmidt J, Marshall S, Harezlak J, Stemper BD, McCrea M, Funk JAuthors
Michael McCrea PhD Professor in the Neurosurgery department at Medical College of WisconsinBrian Stemper PhD Professor in the Biomedical Engineering department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AccelerationBiomechanical Phenomena
Brain Concussion
Consensus
Football
Head
Head Protective Devices
Humans
