• Spine J · Aug 2014

    Observational Study

    Using few and scattered time points for analysis of a variable course of pain can be misleading: an example using weekly text message data.

    • Iben Axén, Gunnar Bergström, and Lennart Bodin.
    • Institute of Environmental Medicine, Unit of Intervention and Implementation Research, Karolinska Institutet, Nobels v 13, 171 77 Stockholm, Sweden. Electronic address: iben.axen@ki.se.
    • Spine J. 2014 Aug 1; 14 (8): 1454-9.

    Background ContextBecause low back pain (LBP) is a fluctuating condition, the diversity in the prediction literature may be due to when the outcome is measured.PurposeThe objective of this study was to investigate the prediction of LBP using an outcome measured at several time points.Study Design/SettingA multicenter clinical observational study in Sweden.Patient SampleData were collected on 244 subjects with nonspecific LBP. The mean age of the subjects was 44 years, the mean pain score at inclusion was 4.4/10, and 51% of the sample had experienced LBP for more than 30 days the previous year.Outcome MeasuresThe outcome used in this study was the "number of days with bothersome pain" collected with weekly text messages for 6 months.MethodsIn subjects with nonspecific LBP, weekly data were available for secondary analyses. A few baseline variables were chosen to investigate prediction at different time points: pain intensity, the presence of leg pain, duration of LBP the previous year, and self-rated health at baseline. Age and gender acted as additional covariates.ResultsIn the multilevel models, the predictive variables interacted with time. Thus, the risk of experiencing a day with bothersome LBP varied over time. In the logistic regression analyses, the predictive variable's previous duration showed a consistent predictive ability for all the time points. However, the variables pain intensity, leg pain, and self-rated health showed inconsistent predictive patterns.ConclusionsAn outcome based on frequently measured data described the variability in the prediction of future LBP over time. Prediction depended on when the outcome was measured. These results may explain the diversity of the results of the predictor studies in the literature.Copyright © 2014 Elsevier Inc. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.