Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Differentiating progress in a clinical group of fibromyalgia patients during and following a multicomponent treatment program

Journal of Psychosomatic Research, Volume 98, Year 2017

Objective Treatments including multiple nonpharmacological components have beneficial effects on the key symptoms of fibromyalgia, although effects are limited and often do not persist. In this study, we examined different patterns of clinical progress and the dynamic interplay between predictors and outcomes over time. Methods Fibromyalgia patients (N = 153; 135 women) followed a multidisciplinary group program spanning 12 weeks, aimed at “regaining control over daily functioning”. Anxiety, depression, pain coping and kinesiophobia were used as predictor variables. Outcome variables were pain severity, pain-related disability, physical functioning and functional interference. All variables were assessed at 3 moments: on the first and last day of treatment, and 12 weeks after the last day of treatment. Overall treatment effects were analyzed using mixed model analyses. Latent class growth analysis identifying different treatment trajectory classes was used to investigate individual differences in treatment effects. Finally, cross-lagged structural equation models were used to investigate the dynamic interplay between predictors and outcomes over time. Results Only a fourth to a third of the total group showed improvement on the outcome variables. These patients had lower baseline anxiety, depression and kinesiophobia, and improved more on anxiety, depression and kinesiophobia. Physical well-being had a stronger effect on anxiety and depression than vice versa. Physical functioning predicted relative changes in kinesiophobia, while kinesiophobia predicted relative changes in pain-related disability. Conclusion The results emphasize the importance of tailoring treatments to individual needs in order to improve overall effectiveness of treatment programs. © 2017

Statistics
Citations: 11
Authors: 3
Affiliations: 2
Research Areas
Disability
Mental Health
Participants Gender
Female