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Prevalence of head injury and medically diagnosed concussion in junior‐level community‐based Australian Rules Football

Overview of attention for article published in Journal of Paediatrics & Child Health, November 2016
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Article details
Title
Prevalence of head injury and medically diagnosed concussion in junior‐level community‐based Australian Rules Football
Published in
Journal of Paediatrics & Child Health, November 2016
DOI 10.1111/jpc.13405
Pubmed ID
Authors
Abstract

For junior-level Australian Rules Football there is a paucity of head injury and concussion surveillance data; thus, the primary aim was to document head injury and concussion incidence in participants aged 9-17 years with a secondary aim to identify the mechanism-of-injury. A prospective cohort study in which a designated representative for each of the 41 teams recorded on a weekly basis the number of head injuries suspected of being a concussion, diagnosed concussions and the mechanism-of-injury during competition games over the course of a 12-game season. For analysis three groups were formed - number of Player-Seasons, Athlete-Exposures, head injury and concussion incidence per 1000 Athlete-Exposures - and were calculated. Narrative data was categorised. There was 13 reported head injuries resulting in seven concussions in the sample population (n = 976). The incidence rates for head injury and concussion were 1.1 (95% confidence interval: 0.5-1.7) and 0.59 (95% confidence interval: 0.2-1.0) per 1000 Athlete-Exposures. There were four head injuries resulting in two concussions in the 12-13-year-old group and nine head injuries and five concussions in the 14-17-year-old group. Two categories emerged for mechanism-of-injury: player-to-surface and player-to-player, with 9 of the 13 head injuries resulting from player-to-player contact. The incidence rates were similar in the two older groups and lower in comparison with American football and rugby. The data collected have advanced our knowledge of head injury incidence and established baseline data which to compare in future years and may assist in development of preventative measures.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 21 21%
Student > Bachelor 12 12%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 5 5%
Lecturer 3 3%
Other 10 10%
Unknown 41 41%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Sports and Recreations 17 17%
Agricultural and Biological Sciences 6 6%
Nursing and Health Professions 4 4%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 6%
Unknown 46 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 January 2017.
All research outputs
#24,121,174
of 34,410,315 outputs
Outputs from Journal of Paediatrics & Child Health
#2,786
of 3,959 outputs
Outputs of similar age
#229,967
of 339,757 outputs
Outputs of similar age from Journal of Paediatrics & Child Health
#16
of 28 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,959 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 339,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.