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Three Subgroups of Pain Profiles Identified in 227 Women with Arthritis: a Latent Class Analysis by Katie de Luca; Lynne Parkinson; Aron Downie; Fiona Blyth; Julie Byles is a Medicine article available to read on EtoBox.

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The objectives were to identify subgroups of women with arthritis based upon the multi-dimensional nature of their pain experience and to compare health and sociodemographic variables between subgroups. A latent class analysis of 227 women with self-reported arthritis was used to identify clusters of women based upon the sensory, affective, and cognitive dimensions of the pain experience. Multivariate multinomial logistic regression analysis was used to determine the relationship between cluster membership and health and sociodemographic characteristics. A three-class cluster model was most parsimonious. 39.5 % of women had a unidimensional pain profile; 38.6 % of women had moderate multidimensional pain profile that included additional pain symptomatology such as sensory qualities and pain catastrophizing; and 21.9 % of women had severe multidimensional pain profile that included prominent pain symptomatology such as sensory and affective qualities of pain, pain catastrophizing, and neuropathic pain. Women with severe multidimensional pain profile have a 30.5 % higher risk of poorer quality of life and a 7.3 % higher risk of suffering depression, and women with moderate multidimen

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Author

Katie de Luca; Lynne Parkinson; Aron Downie; Fiona Blyth; Julie Byles

Publisher

Springer Science and Business Media LLC

Published

2016

Language

EN

Field

Medicine (Health Sciences)