Psychometrics of inflammatory back pain criteria in the US population
Mark C. Hwang, Seokhun Kim, Shervin Assassi, Alexis Ogdie, Michael H. Weisman, John Reveille, Charles Green

TL;DR
This study examines how inflammatory back pain criteria are interpreted differently across age, gender, and race groups in the US population.
Contribution
The study identifies age and gender-related variability in inflammatory back pain criteria interpretation using a nationally representative dataset.
Findings
Confirmatory factor analysis showed a single underlying construct for inflammatory back pain criteria.
Age-related differences were observed in several items, with minimal racial differences.
Gender differences were primarily noted in the Berlin 8a lower back pain item.
Abstract
Evaluation of axial spondyloarthritis relies on capturing various inflammatory back pain (IBP) features represented in different criteria. These criteria are likely to be interpreted differently across demographic subpopulations. We examined IBP criteria dimensionality and differential item functioning (DIF) among different age, gender, and race groups using a nationally representative sample. We utilised the National Health and Nutrition Examination Survey (NHANES) 2009–2010 dataset, a US nationally representative data collection with demographic weighting. The Arthritis Questionnaire (ARQ) within NHANES included questions from published Calin, European Spondyloarthropathy Study Group, and Berlin criteria (8a and 7b). Confirmatory factor analysis (CFA) was performed to assess the dimensionality of IBP criteria. DIF analysis based on Item Response Theory was applied to evaluate…
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Taxonomy
TopicsSpondyloarthritis Studies and Treatments · Fibromyalgia and Chronic Fatigue Syndrome Research · Psoriasis: Treatment and Pathogenesis
