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The pain, depression, disability pathway in those with low back pain: a moderation analysis of health locus of control

Overview of attention for article published in Journal of Pain Research, September 2017
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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22 X users
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1 Facebook page
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1 Google+ user

Citations

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25 Dimensions

Readers on

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67 Mendeley
Title
The pain, depression, disability pathway in those with low back pain: a moderation analysis of health locus of control
Published in
Journal of Pain Research, September 2017
DOI 10.2147/jpr.s139445
Pubmed ID
Authors

Paul Campbell, Kate Hope, Kate M Dunn

Abstract

Low back pain (LBP) is common, impacts on the individual and society, and is a major health concern. Psychological consequences of LBP, such as depression, are significant barriers to recovery, but mechanisms for the development of depression are less well understood. One potential mechanism is the individual's health locus of control (HLoC), that is, perception of the level of control an individual has over their health. The objective of this study is to investigate the moderation effect of HLoC on the pain-depression-disability pathway in those with LBP. The design is a nested cross-sectional analysis of two existing cohorts of patients (n=637) who had previously consulted their primary care physician about LBP. Measures were taken of HLoC, pain intensity and interference, depression, disability, and bothersomeness. Structural Equation Modeling analysis was applied to two path models that examined the pain to depression to disability pathway moderated by the HLoC constructs of Internality and Externality, respectively. Critical ratio (CR) difference tests were applied to the coefficients using pairwise comparisons. The results show that both models had an acceptable model fit and pathways were significant. CR tests indicated a significant moderation effect, with stronger pathway coefficients for depression for those who report low Internality (β 0.48), compared to those with high Internality (β 0.28). No moderation effects were found within the Externality model. HLoC Internality significantly moderates the pain-depression pathway in those with LBP, meaning that those who have a low perception of control report greater levels of depression. HLoC may signify depression among people with LBP, and could potentially be a target for intervention.

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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Bachelor 13 19%
Researcher 6 9%
Other 5 7%
Student > Ph. D. Student 5 7%
Other 11 16%
Unknown 14 21%
Readers by discipline Count As %
Nursing and Health Professions 14 21%
Psychology 12 18%
Medicine and Dentistry 7 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Sports and Recreations 3 4%
Other 9 13%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 February 2018.
All research outputs
#2,214,255
of 25,708,267 outputs
Outputs from Journal of Pain Research
#255
of 2,003 outputs
Outputs of similar age
#40,895
of 325,433 outputs
Outputs of similar age from Journal of Pain Research
#10
of 51 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 87% 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 325,433 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 87% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.