Literature DB >> 23793557

Prognosis of chronic low back pain in patients presenting to a private community-based group exercise program.

Daniel Steffens1, Mark J Hancock, Chris G Maher, Jane Latimer, Robert Satchell, Manuela Ferreira, Paulo H Ferreira, Melissa Partington, Anna-Louise Bouvier.   

Abstract

PURPOSE: To examine the prognosis and prognostic factors for patients with chronic low back pain presenting to a private, community-based, group exercise program.
METHODS: A total of 118 consecutive patients with chronic LBP were recruited. Baseline assessments included socio-demographic characteristics, back pain history and clinical examination findings. Primary outcome measures were pain intensity and disability at 3, 6 and 12 months. Potential prognostic factors to predict pain intensity and disability at 12 months were assessed using a multivariate regression model.
RESULTS: 112 (95 %) participants were followed up at 12 months. The majority of participants were female (73 %), had high educational levels (82 %) and resided in suburbs with a high socio-economic status (99 %). Pain intensity improved markedly during the first 6 months (35 %) with further minimal reductions up to 12 months (39 %). Interestingly, disability improved to a greater degree than pain (48 % improvement at 6 months) and continued to improve throughout the 12 months (60 %). Baseline pain intensity accounted for 10 % of the variance in the 1 year pain outcomes. Duration of current episode, baseline disability and educational level accounted for 15 % of the variation in disability at 12 months.
CONCLUSIONS: During a period of 12 months, patients with chronic LBP presenting to a private, community-based, group exercise program improved markedly, with greater improvements in disability than pain. The predictors investigated accounted for only 10 and 15 % of pain and disability outcomes, respectively.

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Year:  2013        PMID: 23793557      PMCID: PMC3897833          DOI: 10.1007/s00586-013-2846-x

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  19 in total

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3.  A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain.

Authors:  M Roland; R Morris
Journal:  Spine (Phila Pa 1976)       Date:  1983-03       Impact factor: 3.468

4.  Pain and the neuromatrix in the brain.

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Review 5.  Multidisciplinary rehabilitation for chronic low back pain: systematic review.

Authors:  J Guzmán; R Esmail; K Karjalainen; A Malmivaara; E Irvin; C Bombardier
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6.  Responsiveness of pain, disability, and physical impairment outcomes in patients with low back pain.

Authors:  Liset H M Pengel; Kathryn M Refshauge; Chris G Maher
Journal:  Spine (Phila Pa 1976)       Date:  2004-04-15       Impact factor: 3.468

7.  Regression modelling strategies for improved prognostic prediction.

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8.  Long-term follow-up of patients with low back pain attending for manipulative care: outcomes and predictors.

Authors:  A Kim Burton; Timothy D McClune; Robert D Clarke; Chris J Main
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9.  Chronic low back pain in primary care: a prospective study on the management and course.

Authors:  M W van Tulder; B W Koes; J F Metsemakers; L M Bouter
Journal:  Fam Pract       Date:  1998-04       Impact factor: 2.267

10.  The prognosis of acute and persistent low-back pain: a meta-analysis.

Authors:  Luciola da C Menezes Costa; Christopher G Maher; Mark J Hancock; James H McAuley; Robert D Herbert; Leonardo O P Costa
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  5 in total

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Review 2.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

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Review 3.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

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4.  The Maintaining Musculoskeletal Health (MAmMOTH) Study: Protocol for a randomised trial of cognitive behavioural therapy versus usual care for the prevention of chronic widespread pain.

Authors:  Gary J Macfarlane; Marcus Beasley; Gordon Prescott; Paul McNamee; Philip Keeley; Majid Artus; John McBeth; Philip Hannaford; Gareth T Jones; Neil Basu; John Norrie; Karina Lovell
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Review 5.  Which specific modes of exercise training are most effective for treating low back pain? Network meta-analysis.

Authors:  Patrick J Owen; Clint T Miller; Niamh L Mundell; Simone J J M Verswijveren; Scott D Tagliaferri; Helena Brisby; Steven J Bowe; Daniel L Belavy
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  5 in total

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