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A screening tool for non-specific low back pain with disability in office workers: a 1-year prospective cohort study

Overview of attention for article published in BMC Musculoskeletal Disorders, October 2015
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Title
A screening tool for non-specific low back pain with disability in office workers: a 1-year prospective cohort study
Published in
BMC Musculoskeletal Disorders, October 2015
DOI 10.1186/s12891-015-0768-y
Pubmed ID
Authors

Prawit Janwantanakul, Rattaporn Sihawong, Ekalak Sitthipornvorakul, Arpalak Paksaichol

Abstract

Having a screening tool with reasonable predictive ability is essential in providing information about an individual's risk of developing a disease, allowing an examination to be conducted with limited personnel and time, and selecting the relevant individuals for therapeutic research. This study aimed to produce a screening tool to identify office workers at risk of developing non-specific low back pain (LBP) with disability, and to evaluate the tool's predictive power. At baseline, 615 healthy office workers filled out a self-administered questionnaire and underwent physical examination to gather potential risk factors. The incidence of LBP was collected every month thereafter. Disability level was assessed using the Roland-Morris Disability Questionnaire (RMDQ). The minimum RMDQ score for categorization as LBP was 3. Logistic regression was used to select significant factors to build a risk score. The coefficients from the logistic regression model were used to develop the components of a screening tool. Over the 1-year follow-up, 8.8 % of participants reported incident LBP with disability. The screening tool for non-specific low back pain with disability in office workers comprised two items that contributed to the total score: previous history of LBP and psychological demand (assessed by the Job Content Questionnaire). The score range of the screening tool was 12 to 69. With a cut-off score of 53, the sensitivity was 65 % and the specificity was 68 %. The positive and negative predictive values were 16 and 95 %, respectively. The area under the receiver-operating characteristic curve was 0.76. A screening tool for non-specific low back pain with disability in office workers was developed and appears to have reasonable sensitivity, specificity, positive predictive values, and negative predictive values. Further validation and impact studies of the screening tool in a new population of office workers are suggested.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 15%
Student > Bachelor 4 12%
Researcher 4 12%
Lecturer 3 9%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 10 29%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 3 9%
Sports and Recreations 2 6%
Social Sciences 2 6%
Engineering 2 6%
Other 4 12%
Unknown 14 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 October 2015.
All research outputs
#15,348,897
of 22,830,751 outputs
Outputs from BMC Musculoskeletal Disorders
#2,457
of 4,045 outputs
Outputs of similar age
#163,624
of 279,406 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#52
of 79 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,045 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 279,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.