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Injury Prevention Strategies for Adolescent Cricket Pace Bowlers

Overview of attention for article published in Sports Medicine, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

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22 X users

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213 Mendeley
Title
Injury Prevention Strategies for Adolescent Cricket Pace Bowlers
Published in
Sports Medicine, September 2018
DOI 10.1007/s40279-018-0981-6
Pubmed ID
Authors

Mitchell R. L. Forrest, Brendan R. Scott, Jeffrey J. Hebert, Alasdair R. Dempsey

Abstract

Adolescent cricket pace bowlers are prone to non-contact shoulder, low back and lower-limb injuries. Exercise-based injury prevention programmes (IPPs) are effective for reducing non-contact injuries in athletes; however, a specific programme for adolescent pace bowlers has not been published. This paper therefore seeks to provide a rationale for the development of an exercise-based IPP specific for adolescent pace bowlers. It also outlines design principles and provides an example exercise programme that can be implemented at the community level. In addition, the paper addresses other injury prevention techniques concerned with the prescription of appropriate bowling loads and the modification of poor bowling biomechanics. Performing an exercise-based IPP before cricket training could reduce injury rates in adolescent pace bowlers. Eccentric strengthening exercises can be employed to target injuries to the posterior shoulder muscles, hip adductors and hamstring muscles. The risk of low back, knee and ankle injury could also be reduced with the inclusion of dynamic neuromuscular control exercises and trunk extensor endurance exercises. Other prevention strategies that need to be considered include the modification of poor bowling biomechanics, such as shoulder counter-rotation and lateral trunk flexion. Coaches and players should also aim to quantify bowling load accurately and coaches should use this information to prescribe appropriate individualised bowling loads. Specifically, players would benefit from avoiding both long periods of low load and acute periods when load is excessively high. Future evidence is needed to determine the effectiveness of the example programme outlined in this paper. It would also be beneficial to investigate whether the modification of bowling biomechanics is achievable at the non-elite level and if bowling load can be accurately measured and manipulated within a community-level population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 213 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 15%
Student > Master 29 14%
Unspecified 14 7%
Student > Ph. D. Student 14 7%
Student > Postgraduate 9 4%
Other 27 13%
Unknown 88 41%
Readers by discipline Count As %
Sports and Recreations 47 22%
Medicine and Dentistry 24 11%
Nursing and Health Professions 23 11%
Unspecified 14 7%
Social Sciences 5 2%
Other 8 4%
Unknown 92 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 07 September 2020.
All research outputs
#2,439,593
of 25,323,244 outputs
Outputs from Sports Medicine
#1,532
of 2,903 outputs
Outputs of similar age
#47,996
of 342,122 outputs
Outputs of similar age from Sports Medicine
#19
of 32 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,903 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one is in the 47th percentile – i.e., 47% 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 342,122 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 85% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.