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Content not quantity is a better measure of muscle degeneration in whiplash

Overview of attention for article published in Musculoskeletal Science and Practice, March 2013
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Title
Content not quantity is a better measure of muscle degeneration in whiplash
Published in
Musculoskeletal Science and Practice, March 2013
DOI 10.1016/j.math.2013.02.002
Pubmed ID
Authors

James M. Elliott, Roger Kerry, Timothy Flynn, Todd B. Parrish

Abstract

Whiplash associated disorder (WAD) represents an enormous economic, social and personal burden. Five out of 10 people with WAD never fully recover and up to 25% continue to have moderate to severe pain-related disability. Unfortunately, clear and definitive reasons as to why half of individuals with WAD recover uneventfully and the other half do not, remain elusive. Identifying the factors that can reliably predict outcome holds considerable importance for not only WAD, but arguably for other acute musculoskeletal traumas. The precise pathology present in WAD has been controversial and often biased by outdated models. Fortunately, a combination of new measurement technology that illuminates pain processing, physical and social functioning and post-traumatic stress responses (and possibly markers of altered muscle size/shape/physiology) is providing a clearer picture of the multisystem pathophysiology in individuals with persistent WAD. The aim of this professional issues paper is to illuminate the clinical and research communities with regards to the growing body of knowledge for determining the trajectory of a patient with whiplash.

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X Demographics

The data shown below were collected from the profiles of 13 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Bachelor 14 19%
Researcher 8 11%
Student > Master 6 8%
Student > Doctoral Student 6 8%
Other 10 13%
Unknown 15 20%
Readers by discipline Count As %
Nursing and Health Professions 15 20%
Medicine and Dentistry 13 17%
Engineering 9 12%
Agricultural and Biological Sciences 5 7%
Sports and Recreations 2 3%
Other 9 12%
Unknown 22 29%