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

Steve Rowson¹, Jason Mihalik², Jillian Urban³, Julianne Schmidt⁴, Steve Marshall⁵, Jaroslaw Harezlak⁶, Brian D Stemper⁷, Mike McCrea⁸, Jim Funk⁹

Affiliations

¹ Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24060, USA. rowson@vt.edu.
² Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA.
³ Biomedical Engineering, School of Medicine, Wake Forest University, Winston-Salem, NC, 27106, USA.
⁴ Department of Kinesiology, Mary Frances Early College of Education, University of Georgia, Athens, GA, 30602, USA.
⁵ Gillings School of Public Health, The University of North Carolina, Chapel Hill, NC, 27599, USA.
⁶ School of Public Health, Indiana University Bloomington, Bloomington, IN, 47405, USA.
⁷ Joint Department of Biomedical Engineering, Marquette University & Medical College of Wisconsin, Department of Neurosurgery, Medical College of Wisconsin, Neuroscience Research, Zablocki Veterans Affairs Medical Center, Milwaukee, WI, 53295, USA.
⁸ Department of Neurosurgery, Medical College of Wisconsin, Neuroscience Research, Zablocki Veterans Affairs Medical Center, Milwaukee, WI, 53295, USA.
⁹ Biocore LLC, 1627 Quail Run, Charlottesville, VA, 22911, USA.

PMID: 36253602
PMCID: PMC9652215
DOI: 10.1007/s10439-022-03101-0

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

Steve Rowson et al. Ann Biomed Eng. 2022 Nov.

. 2022 Nov;50(11):1346-1355.

doi: 10.1007/s10439-022-03101-0. Epub 2022 Oct 17.

Authors

Steve Rowson¹, Jason Mihalik², Jillian Urban³, Julianne Schmidt⁴, Steve Marshall⁵, Jaroslaw Harezlak⁶, Brian D Stemper⁷, Mike McCrea⁸, Jim Funk⁹

Affiliations

¹ Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24060, USA. rowson@vt.edu.
² Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA.
³ Biomedical Engineering, School of Medicine, Wake Forest University, Winston-Salem, NC, 27106, USA.
⁴ Department of Kinesiology, Mary Frances Early College of Education, University of Georgia, Athens, GA, 30602, USA.
⁵ Gillings School of Public Health, The University of North Carolina, Chapel Hill, NC, 27599, USA.
⁶ School of Public Health, Indiana University Bloomington, Bloomington, IN, 47405, USA.
⁷ Joint Department of Biomedical Engineering, Marquette University & Medical College of Wisconsin, Department of Neurosurgery, Medical College of Wisconsin, Neuroscience Research, Zablocki Veterans Affairs Medical Center, Milwaukee, WI, 53295, USA.
⁸ Department of Neurosurgery, Medical College of Wisconsin, Neuroscience Research, Zablocki Veterans Affairs Medical Center, Milwaukee, WI, 53295, USA.
⁹ Biocore LLC, 1627 Quail Run, Charlottesville, VA, 22911, USA.

PMID: 36253602
PMCID: PMC9652215
DOI: 10.1007/s10439-022-03101-0

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.

Keywords: Biomechanics; Concussion; Head acceleration; Head impact exposure; Head impact measurement devices; Head impact sensors; Sports.

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References

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

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

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