ArticleOsteoarthritis and cartilage open2026
Archetypal analysis of pain measures in a diverse population-based cohort: Exploring cross-sectional relationships with outcomes.
Article in Osteoarthritis and cartilage open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: Pain experiences are complex, multifactorial, and subjective. Pain phenotyping can provide a holistic view of pain experiences by identifying distinct pain profiles. This study aimed to characterize chronic pain phenotypes using multiple validated osteoarthritis (OA) pain measures and assess their associations with functional and psychological outcomes. Design: Participants were from the Johnston County Health Study (JoCoHS), a population-based cohort of non-Hispanic White, non-Hispanic Black, and Hispanic adults aged 35-70 years. Fourteen validated pain measures were administered. Archetypal analysis, a soft clustering technique, was applied to identify pain archetypes. Associations between pain phenotypes and varying functional and psychological characteristics were examined using Dirichlet regression for modeling archetype membership proportions. Results were validated in an independent cohort. Results: Among 834 participants (33% male, 27% with symptomatic knee OA, mean age 55 ± 9.6 years, mean BMI 33 ± 8 kg/m Conclusions: Pain phenotyping using brief self-reported measures identified distinct profiles with varying functional and psychological characteristics. These findings highlight the potential of phenotyping for improved understanding of the pain experience.
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