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dc.contributor.authorBeales, Darren
dc.contributor.authorSmith, Anne
dc.contributor.authorO'Sullivan, Peter
dc.contributor.authorStraker, Leon
dc.date.accessioned2017-01-30T11:34:29Z
dc.date.available2017-01-30T11:34:29Z
dc.date.created2012-11-29T20:00:25Z
dc.date.issued2012
dc.identifier.citationBeales, Darren and Smith, Anne and O'Sullivan, Peter and Straker, Leon. 2012. 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. Journal of Adolescent Health. 50: no.5, pp. 509-516.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/13041
dc.identifier.doi10.1016/j.jadohealth.2011.09.017
dc.description.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.

dc.publisherElsevier
dc.titleLow 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
dc.typeJournal Article
dcterms.source.volume50
dcterms.source.startPage509
dcterms.source.endPage516
dcterms.source.issn1054-139X
dcterms.source.titleJournal of Adolescent Health
curtin.note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Adolescent Health. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Adolescent Health, Vol. 50, no.5 (2012). DOI: 10.1016/j.jadohealth.2011.09.017

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curtin.accessStatusOpen access


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