Predictors of pain catastrophizing in women with systemic lupus erythematosus.

Rev Assoc Med Bras (1992)

Ankara University, Faculty of Medicine, Department of Rheumatology - Ankara, Turkey.

Published: September 2022

Objective: The aim of this study was to identify predictive factors associated with pain catastrophizing in women with systemic lupus erythematosus (SLE).

Methods: A total of 104 volunteered women with a diagnosis of systemic lupus erythematosus participated in the study. Pain Catastrophizing Scale, Body Awareness Questionnaire, Tampa Scale of Kinesiophobia, and Beck Depression Inventory were used to assess patients. Correlations between pain catastrophizing (dependent variable) and independent variables (age, body mass index, disease activity, organ damage, depression, kinesiophobia, and body awareness) were analyzed with Pearson's rho correlation analysis. The multiple stepwise linear regression models with R2 were used to compare across the models and explain the total variance. The significance level of a p-value was considered significant if p≤0.05.

Results: There were no correlations between Pain Catastrophizing Scale and age, Beck Depression Inventory, disease activity, and organ damage (p>0.05). Pain Catastrophizing Scale was correlated with Tampa Scale of Kinesiophobia (r=0.585; p<0.001), Beck Depression Inventory (r=0.511; p<0.001), and Body Awareness Questionnaire (r=0.277; p<0.005). The regression analysis showed that the predictor factors of pain catastrophizing in women with systemic lupus erythematosus were TSK (B 0.411; p<0.001), Beck Depression Inventory (B 0.363; p<0.001), Body Awareness Questionnaire (B 0.273; p<0.001), and body mass index (B -0.169; p=0.02) (Nagelkerke R2=0.52).

Conclusions: As a result, the most related factors on pain catastrophizing were kinesiophobia, depression, body awareness, and body mass index in women with systemic lupus erythematosus. We suggest assessing these parameters as predictive of pain catastrophizing throughout systemic lupus erythematosus management.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575031PMC
http://dx.doi.org/10.1590/1806-9282.20220298DOI Listing

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