• Spine J · Apr 2017

    Factor analyses for the Örebro Musculoskeletal Pain Questionnaire for working and nonworking patients with chronic low back pain.

    • Remko Soer, Patrick Vroomen, Roy Stewart, Maarten Coppes, Patrick Stegeman, Pieter Dijkstra, Michiel Reneman, and Groningen Spine Study Group.
    • Groningen Spine Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30001, 9750 RB Groningen, The Netherlands; Saxion Universities of Applied Sciences, M.H. Tromplaan 28, PO Box 70.000, 7500 KB, Enschede, The Netherlands. Electronic address: r.soer@umcg.nl.
    • Spine J. 2017 Apr 1; 17 (4): 603-609.

    Background ContextThe Örebro Musculoskeletal Pain Questionnaire (ÖMPQ) has good psychometric properties to predict return to work in patients with acute low back pain. Although it is used in patients with chronic back pain and nonworkers, there is no evidence on the factor structure of the ÖMPQ in these populations. This is deemed an important prerequisite for future prediction studies.PurposeThis study aimed to analyze the factor structure of the ÖMPQ in working and nonworking patients with chronic back pain.Study Design/SettingThis is a cross-sectional study in a university-based spine center.Patient SampleThe patient sample consists two cohorts of working and nonworking adult patients (>18 years) with specific and nonspecific chronic back pain.Outcome MeasuresThe Örebro Musculoskeletal Pain Questionnaire.MethodsExploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed in working (N=557) and nonworking (N=266) patients for three, four, five, and six factors identified in literature. A goodness of fit index was calculated by a chi-square. Root mean square error of approximation (RMSEA) was calculated, and the number of factors identified was based on RMSEA values <.05. A Tucker-Lewis index (TLI) and a normed fit index (NFI) >0.90 are considered to indicate acceptable fit.ResultsIn working patients, a five-factor solution had the best fit (RMSEA<0.05; NFI and TLI >0.90), but substantial adaptations should be made to get proper fit (removal of the work-related items). In nonworking patients, a four-factor analysis had the best fit (RMSEA<0.05). For both samples, items related to duration could not fit in the overall model.ConclusionsFactor structure of the ÖMPQ was not confirmed in working and nonworking patients with chronic back pain. Substantial adaptations should be made to obtain a factor structure with acceptable fit.Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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