Evidence map›Paper›PMID 31469712›Full record

ArticleMedicine and science in sports and exercise2020

Physical Performance Measures Correlate with Head Impact Exposure in Youth Football.

Mireille E Kelley, Derek A Jones, Mark A Espeland, Meagan L Rosenberg, Christopher M Miles, Christopher T Whitlow, Joseph A Maldjian, Joel D Stitzel, Jillian E Urban

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mireille E Kelley
Derek A Jones
Mark A EspelandDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Meagan L RosenbergDepartment of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC.
Christopher M MilesDepartment of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
Christopher T WhitlowDepartment of Radiology (Neuroradiology), Wake Forest School of Medicine, Winston-Salem, NC.
Joseph A MaldjianDepartment of Radiology, University of Texas Southwestern, Dallas, TX.
Joel D Stitzel
Jillian E Urban

Funding

Wake Forest Clinical and Translational Science AwardKL2TR001421 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, DAVID P · 2015 to 2023
$5.8M
Biomechanical Basis of Pediatric mTBI Due to Sports Related ConcussionR01NS094410 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DUMA, STEFAN, GREENWALD, RICHARD M · 2015 to 2019
$3.3M
iTAKL: Imaging Telemetry And Kinematic modeLing in youth footballR01NS082453 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GIOIA, GERARD A., MALDJIAN, JOSEPH A · 2014 to 2018
$3.3M
NCATS NIH HHS KL2 TR001421NINDS NIH HHS R01 NS082453NINDS NIH HHS R01 NS094410
6 · The paper itself

Abstract

purposeHead impact exposure (HIE) (i.e., magnitude and frequency of impacts) can vary considerably among individuals within a single football team. To better understand individual-specific factors that may explain variation in head impact biomechanics, this study aimed to evaluate the relationship between physical performance measures and HIE metrics in youth football players.

methodsHead impact data were collected from youth football players using the Head Impact Telemetry System. Head impact exposure was quantified in terms of impact frequency, linear and rotational head acceleration, and risk-weighted cumulative exposure metrics (RWELinear, RWERotational, and RWECP). Study participants completed four physical performance tests: vertical jump, shuttle run, three-cone, and 40-yard sprint. The relationships between performance measures, and HIE metrics were evaluated using linear regression analyses.

resultsA total of 51 youth football athletes (ages, 9-13 yr) completed performance testing and received combined 13,770 head impacts measured with the Head Impact Telemetry System for a full season. All performance measures were significantly correlated with total number of impacts in a season, RWELinear-Season, and all RWE-Game metrics. The strongest relationships were between 40-yard sprint speed and all RWE-Game metrics (all P ≤ 0.0001 and partial R > 0.3). The only significant relationships among HIE metrics in practice were between shuttle run speed and total practice impacts and RWELinear-Practices, 40 yard sprint speed and total number of practice impacts, and three-cone speed and 95th percentile number of impacts/practice.

conclusionsGenerally, higher vertical jump height and faster times in speed and agility drills were associated with higher HIE, especially in games. Physical performance explained less variation in HIE in practices, where drills and other factors, such as coaching style, may have a larger influence on HIE.

Indexed as

AccelerationAdolescentAthletic PerformanceBiomechanical PhenomenaBrain ConcussionChildFootballHeadHumansRisk FactorsRunningTelemetry

Identifiers

PMID31469712
PMCPMC6962548

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.