Quantifying Head Impact Exposure in Collegiate Women's Soccer

Press, Jaclyn N.; Rowson, Steven

doi:10.1097/jsm.0000000000000313

Cited by 133 publications

(164 citation statements)

References 26 publications

Supporting

Mentioning

144

Contrasting

Order By: Relevance

“…94 Recently, Press and Rowson 93 considered when evaluating impact magnitudes 94 and frequencies. 93 …”

Section: Devicesmentioning

confidence: 99%

“…[93][94][95] For high school and collegiate athletes, all soccer-related head impacts averaged 37.6g resultant LA and 7523 rad/s 2 resultant AA. 47 Collegiate female soccer players sustained an average of 4.6 impacts per session (almost 7 per game and 3.5 during practice) 94 and resultant AA averages ranged 93,94 from 5626 to 7713 rad/s 2 . High school female soccer players sustained an average of 2 impacts per session: 2.9 per game and 1.7 during practice.…”

Section: Normative Datamentioning

confidence: 99%

“…Most research has involved male athletes, predominantly in football (n ¼ 40),* ice hockey (n ¼ 12), 16,[42][43][44][45]61,62,[76][77][78][79][80] soccer (n ¼ 4), 87,[93][94][95] and boxing (n ¼ 1). 89 Males sustained more impacts in ice hockey and boxing than females did.…”

Section: Normative Datamentioning

confidence: 99%

“…The X-Patch also has measurement error as high as 50% for peak resultant LA and AA, suggesting that a 40g acceleration event will result in a reading between 20g and 60g. 94 Recently, Press and Rowson 93 considered when evaluating impact magnitudes 94 and frequencies. 93 …”

Section: Devicesmentioning

confidence: 99%

See 3 more Smart Citations

Head-Impact–Measurement Devices: A Systematic Review

O’Connor

Rowson

Duma

et al. 2017

Journal of Athletic Training

Self Cite

154

117

View full text Add to dashboard Cite

Context: With an estimated 3.8 million sport-and recreation-related concussions occurring annually, targeted prevention and diagnostic methods are needed. Biomechanical analysis of head impacts may provide quantitative information that can inform both prevention and diagnostic strategies.Objective: To assess available head-impact devices and their clinical utility.Data Sources: We performed a systematic search of the electronic database PubMed for peer-reviewed publications, using the following phrases: accelerometer and concussion, head impact telemetry, head impacts and concussion and sensor, head impacts and sensor, impact sensor and concussion, linear acceleration and concussion, rotational acceleration and concussion, and xpatch concussion. In addition to the literature review, a Google search for head impact monitor and concussion monitor yielded 15 more devices.Study Selection: Included studies were performed in vivo, used commercially available devices, and focused on sportrelated concussion.Data Extraction: One author reviewed the title and abstract of each study for inclusion and exclusion criteria and then reviewed each full-text article to confirm inclusion criteria. Controversial articles were reviewed by all authors to reach consensus.Data Synthesis: In total, 61 peer-reviewed articles involving 4 head-impact devices were included. Participants in boxing, football, ice hockey, soccer, or snow sports ranged in age from 6 to 24 years; 18% (n ¼ 11) of the studies included female athletes. The Head Impact Telemetry System was the most widely used device (n ¼ 53). Fourteen additional commercially available devices were presented.Conclusions: Measurements collected by impact monitors provided real-time data to estimate player exposure but did not have the requisite sensitivity to concussion. Proper interpretation of previously reported head-impact kinematics across age, sport, and position may inform future research and enable staff clinicians working on the sidelines to monitor athletes. However, head-impact-monitoring systems have limited clinical utility due to error rates, designs, and low specificity in predicting concussive injury.

show abstract

“…94 Recently, Press and Rowson 93 considered when evaluating impact magnitudes 94 and frequencies. 93 …”

Section: Devicesmentioning

confidence: 99%

Section: Normative Datamentioning

confidence: 99%

Section: Normative Datamentioning

confidence: 99%

Section: Devicesmentioning

confidence: 99%

See 2 more Smart Citations

Head-Impact–Measurement Devices: A Systematic Review

O’Connor

Rowson

Duma

et al. 2017

Journal of Athletic Training

Self Cite

154

117

View full text Add to dashboard Cite

show abstract

“…34 In soccer, the most common mechanism of concussion is contact with another player (ie, head to head contact) although most impacts occur in heading the ball. 35,36 Withnall et al reconstructed head impact events in FIFA soccer matches. For the head-to-head impacts most likely associated with injury, the highest head accelerations measured had an average linear acceleration of 87 g and an average rotational acceleration of 7033 rad/s 2 .…”

Section: Do the Biomechanics Of Concussion Vary By Sport?mentioning

confidence: 99%

Biomechanical Perspectives on Concussion in Sport

Rowson

Bland

Campolettano

et al. 2016

Sports Medicine and Arthroscopy Review

Self Cite

View full text Add to dashboard Cite

Concussions can occur in any sport. Often, clinical and biomechanical research efforts are disconnected. This review paper analyzes current concussion issues in sports from a biomechanical perspective and is geared towards Sports Med professionals. Overarching themes of this review include: the biomechanics of the brain during head impact, role of protective equipment, potential population-based differences in concussion tolerance, potential intervention strategies to reduce the incidence of injury, and common biomechanical misconceptions.

show abstract

Preliminary evidence from a prospective DTI study suggests a posterior‐to‐anterior pattern of recovery in college athletes with sports‐related concussion

et al. 2018

View full text Add to dashboard Cite

ObjectivesWe compared the integrity of white matter (WM) microstructure to the course of recovery in athletes who sustained one sports‐related concussion (SRC), assessing individual longitudinal changes in WM fiber tracts following SRC using pre‐ and post‐injury measurements.Materials and MethodsBaseline diffusion tensor imaging (DTI) scans and neuropsychological tests were collected on 53 varsity contact‐sport college athletes. Participants (n = 13) who subsequently sustained an SRC underwent DTI scans and neuropsychological testing at 2 days, 2 weeks, and 2 months following injury.ResultsRelying on tract‐based spatial statistics (TBSS) analyses, we found that radial diffusivity (RD) and mean diffusivity (MD) were significantly increased at 2 days post‐injury compared to the same‐subject baseline (corrected p < 0.02). These alterations were visible in anterior/posterior WM regions spanning both hemispheres, demonstrating a diffuse pattern of injury after concussion. Implicated WM fiber tracts at 2 days include the following: right superior/inferior longitudinal fasciculus; right/left inferior fronto‐occipital fasciculus; right corticospinal tract; right acoustic radiation; right/left anterior thalamic radiations; right/left uncinate fasciculus; and forceps major/minor. At 2 weeks post‐injury, persistently elevated RD and MD were observed solely in prefrontal portions of WM fiber tracts (using same‐subject contrasts). No significant differences were found for FA in any of the post‐injury comparisons to baseline. Plots of individual subject RD and MD in prefrontal WM demonstrated homogenous increases from baseline to just after SRC; thereafter, trajectories became more variable. Most subjects’ diffusivity values remained elevated at 2 months post‐injury relative to their own baseline. Over the 2‐month period after SRC, recovery of WM fiber tracts appeared to follow a posterior‐to‐anterior trend, paralleling the posterior–anterior pattern of WM maturation previously identified in the normal population.ConclusionThese results suggest greater vulnerability of prefrontal regions to SRC, underline the importance of an individualized approach to concussion management, and show promise for using RD and MD for imaging‐based diagnosis of SRC.

show abstract

Quantifying Head Impact Exposure in Collegiate Women's Soccer

Abstract: Head impact exposure was quantified through 2 different methods, which illustrated the challenges associated with autonomously collecting acceleration data with head impact sensors. Users of head impact data must exercise caution when interpreting on-field head impact sensor data.

Cited by 133 publications

References 26 publications

Head-Impact–Measurement Devices: A Systematic Review

Head-Impact–Measurement Devices: A Systematic Review

Biomechanical Perspectives on Concussion in Sport

Preliminary evidence from a prospective DTI study suggests a posterior‐to‐anterior pattern of recovery in college athletes with sports‐related concussion

Contact Info

Product

Resources

About