• Ron D Hays, Patricia M Herman, Nabeel Qureshi, Anthony Rodriguez, and Maria Orlando Edelen.
• Division of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, CA. Electronic address: drhays@ucla.edu.
• Pain Manag Nurs. 2024 Feb 1; 25 (1): e1e7e1-e7.

BackgroundThe extent to which different measures of back pain impact represent an underlying common factor has implications for decisions about which one to use in studies of pain management and estimating one score from others.AimsTo determine if different self-report back pain impact measures represent an underlying pain latent variable and estimate associations with it.MethodSeven pain impact measures completed by Amazon Mechanical Turk adults are used to estimate internal consistency reliability and associations: Oswestry Disability Index (ODI), Roland-Morris Disability Questionnaire (RMDQ), short form of the Örebro Musculoskeletal Pain Questionnaire (OMPQ), Subgroups for Targeted Treatment (STarT) Back Tool, the Graded Chronic Pain Scale (GCPS) disability score, PEG (Pain intensity, interference with Enjoyment of life, interference with General activity), and Impact Stratification Score (ISS).ResultsThe sample of 1,874 adults with back pain had an average age of 41 and 52% were female. Sixteen percent were Hispanic, 7% non-Hispanic Black, 5% non-Hispanic Asian, and 71% non-Hispanic White. Internal consistency reliability estimates ranged from 0.710 (OMPQ) to 0.923 (GCPS). Correlations among the measures ranged from 0.609 (RMDQ with OMPQ) to 0.812 (PEG with GCPS). Standardized factor loadings on the pain latent variable ranged from 0.782 (RMDQ) to 0.870 (ISS).ConclusionsScores of each measure can be estimated from the others for use in research.Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

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