| Title |
The Influence of Head Impact Threshold for Reporting Data in Contact and Collision Sports: Systematic Review and Original Data Analysis
|
|---|---|
| Published in |
Sports Medicine, November 2015
|
| DOI | 10.1007/s40279-015-0423-7 |
| Pubmed ID | |
| Authors |
D. King, P. Hume, C. Gissane, M. Brughelli, T. Clark |
| Abstract |
Head impacts and resulting head accelerations cause concussive injuries. There is no standard for reporting head impact data in sports to enable comparison between studies. The aim was to outline methods for reporting head impact acceleration data in sport and the effect of the acceleration thresholds on the number of impacts reported. A systematic review of accelerometer systems utilised to report head impact data in sport was conducted. The effect of using different thresholds on a set of impact data from 38 amateur senior rugby players in New Zealand over a competition season was calculated. Of the 52 studies identified, 42 % reported impacts using a >10-g threshold, where g is the acceleration of gravity. Studies reported descriptive statistics as mean ± standard deviation, median, 25th to 75th interquartile range, and 95th percentile. Application of the varied impact thresholds to the New Zealand data set resulted in 20,687 impacts of >10 g, 11,459 (45 % less) impacts of >15 g, and 4024 (81 % less) impacts of >30 g. Linear and angular raw data were most frequently reported. Metrics combining raw data may be more useful; however, validity of the metrics has not been adequately addressed for sport. Differing data collection methods and descriptive statistics for reporting head impacts in sports limit inter-study comparisons. Consensus on data analysis methods for sports impact assessment is needed, including thresholds. Based on the available data, the 10-g threshold is the most commonly reported impact threshold and should be reported as the median with 25th and 75th interquartile ranges as the data are non-normally distributed. Validation studies are required to determine the best threshold and metrics for impact acceleration data collection in sport. Until in-field validation studies are completed, it is recommended that head impact data should be reported as median and interquartile ranges using the 10-g impact threshold. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 2 | 20% |
| Australia | 2 | 20% |
| Spain | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| China | 1 | <1% |
| Unknown | 206 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 17% |
| Student > Master | 33 | 16% |
| Researcher | 25 | 12% |
| Student > Bachelor | 22 | 11% |
| Student > Doctoral Student | 12 | 6% |
| Other | 34 | 16% |
| Unknown | 47 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 39 | 19% |
| Engineering | 37 | 18% |
| Medicine and Dentistry | 19 | 9% |
| Agricultural and Biological Sciences | 11 | 5% |
| Neuroscience | 11 | 5% |
| Other | 30 | 14% |
| Unknown | 62 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 February 2016.
All research outputs
#5,075,581
of 24,860,845 outputs
Outputs from Sports Medicine
#1,942
of 2,873 outputs
Outputs of similar age
#65,159
of 291,839 outputs
Outputs of similar age from Sports Medicine
#53
of 58 outputs
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