Individual Impact Magnitude vs. Cumulative Magnitude for Estimating Concussion Odds

被引:0
|
作者
Kathryn L. O’Connor
Thomas Peeters
Stefan Szymanski
Steven P. Broglio
机构
[1] University of Michigan School of Kinesiology,NeuroTrauma Research Laboratory
[2] Erasmus School of Economics,NeuroTrauma Research Laboratory, University of Michigan Injury Center
[3] University of Michigan School of Kinesiology,undefined
[4] University of Michigan School of Kinesiology,undefined
来源
关键词
Head impact; Concussion; Biomechanics;
D O I
暂无
中图分类号
学科分类号
摘要
Helmeted impact devices have allowed researchers to investigate the biomechanics of head impacts in vivo. While increased impact magnitude has been associated with greater concussion risk, a definitive concussive threshold has not been established. It is likely that concussion risk is not determined by a single impact itself, but a host of predisposing factors. These factors may include genetics, fatigue, and/or prior head impact exposure. The objective of the current paper is to investigate the association between cumulative head impact magnitude and concussion risk. It is hypothesized that increased cumulative magnitudes will be associated with greater concussion risk. This retrospective analysis included participants that were recruited from regional high-schools in Illinois and Michigan from 2007 to 2014 as part of an ongoing study on concussion biomechanics. Across seven seasons, 185 high school football athletes were instrumented with the Head Impact Telemetry system. Out of 185 athletes, 31 (17%) sustained a concussion, with two athletes sustaining two concussions over the study period, yielding 33 concussive events. The system recorded 78,204 impacts for all concussed players. Linear acceleration, rotational acceleration, and head impact telemetry severity profile (HITsp) magnitudes were summed within five timeframes: the day of injury, three days prior to injury, seven days prior to injury, 30 days prior to injury, and prior in-season exposure. Logistic regressions were modeled to explain concussive events based on the singular linear acceleration, rotational acceleration, and HITsp event along with the calculated summations over time. Linear acceleration, rotational acceleration, and HITsp all produced significant models estimating concussion (p < 0.05). The strongest estimators of a concussive impact were the linear acceleration (OR = 1.040, p < 0.05), rotational acceleration (OR = 1.001, p < 0.05), and HITsp (OR = 1.003, p < 0.05) for the singular impact rather than any of the cumulative magnitude calculations. Moreover, no cumulative count measure was significant for linear or rotational acceleration. Results from this investigation support the growing literature indicating cumulative magnitude is not related to concussion likelihood. Cumulative magnitude is a simplistic measure of the total exposure sustained by a player over a given period. However, this measure is limited as it assumes the brain is a static structure unable to undergo self-repair. Future research should consider how biological recovery between impacts may influence concussion risk.
引用
收藏
页码:1985 / 1992
页数:7
相关论文
共 50 条
  • [21] Peak vs. total reactive hyperemia: which determines the magnitude of flow-mediated dilation?
    Pyke, Kyra E.
    Tschakovsky, Michael E.
    JOURNAL OF APPLIED PHYSIOLOGY, 2007, 102 (04) : 1510 - 1519
  • [22] Galaxy merging and number vs. apparent magnitude relation for the universe with a time-decaying cosmological term
    Komiya, Z.
    Kawabata, K.
    Hirano, K.
    Bunya, H.
    Yamamoto, N.
    Astronomy and Astrophysics, 1600, 449 (03): : 903 - 916
  • [23] Bilateral vs. Unilateral Countermovement Jumps: Comparing the Magnitude and Direction of Asymmetry in Elite Academy Soccer Players
    Bishop, Chris
    Abbott, Will
    Brashill, Calum
    Turner, Anthony
    Lake, Jason
    Read, Paul
    JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2022, 36 (06) : 1660 - 1666
  • [24] Cholinergic excitation in mouse primary vs. associative cortex: region-specific magnitude and receptor balance
    Tian, Michael K.
    Bailey, Craig D. C.
    Lambe, Evelyn K.
    EUROPEAN JOURNAL OF NEUROSCIENCE, 2014, 40 (04) : 2608 - 2618
  • [25] Phase vs. magnitude information in functional magnetic resonance imaging time series: toward understanding the noise
    Petridou, Natalia
    Schaefer, Andreas
    Gowland, Penny
    Bowtell, Richard
    MAGNETIC RESONANCE IMAGING, 2009, 27 (08) : 1046 - 1057
  • [26] Galaxy merging and number vs. apparent magnitude relation for the universe with a time-decaying cosmological term
    Komiya, Z
    Kawabata, K
    Hirano, K
    Bunya, H
    Yamamoto, N
    ASTRONOMY & ASTROPHYSICS, 2006, 449 (03): : 903 - 916
  • [27] An algorithm for estimating acceleration magnitude and impact location using multiple nonorthogonal single-axis accelerometers
    Crisco, JJ
    Chu, JJ
    Greenwald, RM
    JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2004, 126 (06): : 849 - 854
  • [28] The Effects of Exercise Intensity vs. Metabolic State on the Variability and Magnitude of Left Ventricular Twist Mechanics during Exercise
    Armstrong, Craig
    Samuel, Jake
    Yarlett, Andrew
    Cooper, Stephen-Mark
    Stembridge, Mike
    Stohr, Eric J.
    PLOS ONE, 2016, 11 (04):
  • [29] Predicting Oxygen Uptake From Accelerometer Output In Adults With Down Syndrome: Vector Magnitude Vs. Vertical Axis
    McCreary, Caleb Scott
    Richardson, Slater
    Choi, Poram
    Ghosh, Supreete
    Allred, Anthony T.
    Agiovlasitis, Stamatis
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2020, 52 (07) : 405 - 406
  • [30] Recovering star formation histories: Integrated-light analyses vs. stellar colour-magnitude diagrams
    Ruiz-Lara, T.
    Perez, I.
    Gallart, C.
    Alloin, D.
    Monelli, M.
    Koleva, M.
    Pompei, E.
    Beasley, M.
    Sanchez-Blazquez, P.
    Florido, E.
    Aparicio, A.
    Fleurence, E.
    Hardy, E.
    Hidalgo, S.
    Raimann, D.
    ASTRONOMY & ASTROPHYSICS, 2015, 583