Literature DB >> 22525116

Low back pain and comorbidity clusters at 17 years of age: a cross-sectional examination of health-related quality of life and specific low back pain impacts.

Darren John Beales1, Anne Julia Smith, Peter Bruce O'Sullivan, Leon Melville Straker.   

Abstract

PURPOSE: Comorbidities in adults negatively affect the course of low back pain (LBP). Little is known of the presence and/or impact of LBP comorbidities in adolescents.
METHODS: Subjects from the Raine Study cohort at age 17 years (n = 1,391) provided self-report of diagnosed medical conditions/health complaints, health-related quality of life (36-Item Short Form Health Survey [SF-36]), lifetime experience of LBP, and specific LBP impacts (taking medication, missing school/work, interference with normal/physical activities). Latent class analysis was used to estimate clusters of comorbidities based on diagnosed disorders. Profiles of SF-36 and impact were examined between clusters.
RESULTS: Four distinct comorbidity clusters were identified: cluster 1: Low probability of diagnosed LBP or any other medical condition (79.7%); cluster 2: High probability of diagnosed LBP and neck/shoulder pain, but a low probability of other diagnosed health conditions (9.6%); cluster 3: Moderate probability of diagnosed LBP and high probability of diagnosed anxiety and depression (6.9%); cluster 4: Moderate probability of diagnosed LBP and high probability of diagnosed behavioral and attention disorders (3.8%). The clusters had different SF-36 and LBP impact profiles, with clusters 3 and 4 having poorer SF-36 scores, and clusters 2 to 4 having greater risk for specific LBP impacts, than cluster 1.
CONCLUSIONS: Identified comorbidity clusters support adolescent and adult studies reporting associations between LBP, other pain areas, psychological disorders, and disability. Tracking these clusters into adulthood may provide insight into health care utilization in later life, whereas identification of these individuals early in the life span may help optimize intervention opportunities.
Copyright © 2012 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22525116     DOI: 10.1016/j.jadohealth.2011.09.017

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  19 in total

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2.  Fear Avoidance Predicts Persistent Pain in Young Adults With Low Back Pain: A Prospective Study.

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3.  Association between home posture habits and low back pain in high school adolescents.

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4.  Rationale, design and methods for the 22 year follow-up of the Western Australian Pregnancy Cohort (Raine) Study.

Authors:  Leon M Straker; Graham L Hall; Jenny Mountain; Erin K Howie; Elisha White; Nigel McArdle; Peter R Eastwood
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5.  Musculoskeletal pain is associated with restless legs syndrome in young adults.

Authors:  Stijn J Hoogwout; Markus V Paananen; Anne J Smith; Darren J Beales; Peter B O'Sullivan; Leon M Straker; Peter R Eastwood; Nigel McArdle; David Champion
Journal:  BMC Musculoskelet Disord       Date:  2015-10-14       Impact factor: 2.362

6.  Pain characteristics of adolescent spinal pain.

Authors:  Brigitte Wirth; B Kim Humphreys
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7.  Spine Day 2012: spinal pain in Swiss school children- epidemiology and risk factors.

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Review 8.  A Health- and Resource-Oriented Perspective on NSLBP.

Authors:  Cornelia Rolli Salathé; Achim Elfering
Journal:  ISRN Pain       Date:  2013-09-11

9.  Degenerative Pathways of Lumbar Motion Segments--A Comparison in Two Samples of Patients with Persistent Low Back Pain.

Authors:  Rikke K Jensen; Per Kjaer; Tue S Jensen; Hanne Albert; Peter Kent
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

10.  Young people's experiences of persistent musculoskeletal pain, needs, gaps and perceptions about the role of digital technologies to support their co-care: a qualitative study.

Authors:  Helen Slater; Joanne E Jordan; Jason Chua; Robert Schütze; John D Wark; Andrew M Briggs
Journal:  BMJ Open       Date:  2016-12-09       Impact factor: 2.692

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