Classifying Subgroups of Chronic Low Back Pain Patients Based on Lifting Patterns
| Autor: | S.J. Lieber, J. Robert Boston, Jill C. Slaboda, Thomas E. Rudy |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Adult
Male medicine.medical_specialty Lifting Multivariate analysis medicine.medical_treatment Physical Therapy Sports Therapy and Rehabilitation Multivariate analysis of variance Task Performance and Analysis medicine Humans West Haven-Yale Multidimensional Pain Inventory Analysis of Variance Rehabilitation business.industry Low back pain Markov Chains humanities Oswestry Disability Index Chronic Disease Multivariate Analysis Physical therapy Female Analysis of variance medicine.symptom business Low Back Pain human activities Psychosocial |
| Zdroj: | Archives of Physical Medicine and Rehabilitation. 89:1542-1549 |
| ISSN: | 0003-9993 |
| DOI: | 10.1016/j.apmr.2008.01.016 |
| Popis: | Slaboda JC, Boston JR, Rudy TE, Lieber SJ. Classifying subgroups of chronic low back pain patients based on lifting patterns. Objective To compare self-reported measures of chronic lower back pain (CLBP) patients who were assigned to 2 subgroups based on their lifting patterns performed during a repetitive lifting task. Design Cross-sectional study. Setting Research laboratory Participants CLBP subjects (n=81) and pain-free controls (n=53). Interventions Not applicable. Main Outcome Measures Measures of lifting patterns and self-reported disability, pain, and psychosocial aspects. Results Two CLBP subgroups were found: 1 group that lifts similarly to control subjects (n=35) and 1 group that lifts very differently from controls (n=46). The CLBP group that lifted differently than controls reported higher pain intensity ( P =.005), higher pain severity ( P =.025), and lower self-efficacy ( P =.013) than the CLBP group that lifted similarly to controls. Conclusions A classification system based on lifting patterns identified 2 CLBP subgroups that were significantly different on lifting and self-reported measures, indicating the importance of physical functioning measures in classification systems. |
| Databáze: | OpenAIRE |
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