↓ Skip to main content

Absence of low back pain in patients followed weekly over one year with automated text messages

Overview of attention for article published in Chiropractic & Manual Therapies, March 2012
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Absence of low back pain in patients followed weekly over one year with automated text messages
Published in
Chiropractic & Manual Therapies, March 2012
DOI 10.1186/2045-709x-20-9
Pubmed ID
Authors

Charlotte Leboeuf-Yde, Rikke K Jensen, Iben Axén

Abstract

In order to define the onset of a new episode of low back pain (LBP), the definition of a "non-episode" must be clear. De Vet et al reviewed the scientific literature but found no evidence-based definitions of episodes or non-episodes of LBP. However, they suggested that pain-based episodes should be preceded and followed by a period of at least one month without LBP. As LBP is an episodic disease, it is not clear whether a sufficient number of patients with LBP will be LBP-free for at least one month ("non-episode") to justify the use of this duration in the definition of pain free episode.

X Demographics

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Bachelor 6 19%
Researcher 5 16%
Student > Ph. D. Student 4 13%
Other 2 6%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 12 39%
Nursing and Health Professions 3 10%
Computer Science 2 6%
Neuroscience 2 6%
Sports and Recreations 2 6%
Other 4 13%
Unknown 6 19%