| Title |
Concussion in community Australian football – epidemiological monitoring of the causes and immediate impact on play
|
|---|---|
| Published in |
Injury Epidemiology, September 2015
|
| DOI | 10.1186/s40621-015-0052-5 |
| Pubmed ID | |
| Authors |
Lauren V. Fortington, Dara M. Twomey, Caroline F. Finch |
| Abstract |
Head injuries, particularly concussion, are a major cause of concern in many sports, particularly the football codes, driving a need to better understand injury mechanisms and potential methods of prevention. The aim of this study was to describe the mechanisms and follow up care of concussion injuries sustained in adult male community Australian football to identify target areas for prevention and management. Secondary analysis of injury data collected in a cluster randomised controlled trial in community Australian football across two states of Australia in 2007 and 2008. There were 1564 players from 18 clubs. The main outcome measures were the number and rate of head/neck/face (HNF) injuries and concussion sustained in games. A specific description of the mechanisms of the concussion injuries is presented along with the immediate return-to-play status of concussion cases. 143 HNF injuries were sustained by 132 players. The game HNF injury incidence was 4.9 per 1000 game hours (n = 138; 95 % confidence interval 4.1; 5.7). Just under a quarter (n = 34) of all HNF injuries were recorded as concussion. All concussions occurred during games (none in training), with all but one related to body contact with other players. Overall, 68 % of the concussions were considered within game rules, while 32 % were either outside of the rules or unclear. Most (88 %) players left the field immediately following concussion but 47 % later returned to play in the same game. Prevention strategies for concussion need to be based on knowledge of the mechanisms of injury. Most concussions in community Australian football occurred through body contact with other players or during tackling. Management of players post-concussion was generally poor with over half of the cases continuing to play in the same game. Therefore, new primary prevention strategies that target body-contact/tackling skills and improved secondary prevention measures relating to compliance with return-to-play protocols would be valuable. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| Australia | 2 | 25% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Unknown | 82 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 22% |
| Student > Bachelor | 17 | 20% |
| Student > Ph. D. Student | 8 | 10% |
| Researcher | 4 | 5% |
| Lecturer | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 25 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 23% |
| Sports and Recreations | 16 | 19% |
| Nursing and Health Professions | 11 | 13% |
| Psychology | 3 | 4% |
| Social Sciences | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 27 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 28 March 2018.
All research outputs
#3,773,845
of 23,577,654 outputs
Outputs from Injury Epidemiology
#135
of 344 outputs
Outputs of similar age
#48,469
of 268,683 outputs
Outputs of similar age from Injury Epidemiology
#2
of 7 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.