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Journal of Behavioral Medicine

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01-08-2009

Predicting response to cognitive-behavioral therapy in a sample of HIV-positive patients with chronic pain

Auteurs: Michael A. Cucciare, John T. Sorrell, Jodie A. Trafton

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 4/2009

Abstract

Introduction

The primary aim of this study was to examine the role of patient characteristics in predicting response to treatment in a sample of HIV-positive patients receiving 12 weekly sessions of a CBT-based pain management protocol.

Method

A pre/post test single group design was used. Pain-related functioning was assessed at baseline and 12 weeks post-treatment using the Pain Outcomes Questionnaire-VA.

Data analysis and Results

Multivariate regression analysis showed that higher baseline levels of pain-related anxiety were related to greater improvement in pain-related functioning at post-treatment, and non-Caucasian participants reported a greater response to treatment when compared to Caucasian participants. Attendance to CBT treatment sessions focused on progressive muscle relaxation and cognitive reconceptualization of pain were also related to treatment outcome.

Conclusion

Non-Caucasian patients reporting higher levels of pain-related anxiety may respond particularly well to treatment. Treatment sessions focused on progressive muscle relaxation and cognitive reconceptualization of pain may be particularly helpful.

vorige artikel The effectiveness of hypnosis for reducing procedure-related pain in children and adolescents: a comprehensive methodological review

volgende artikel Effect of a brief, regular telephone intervention by paraprofessionals for type 2 diabetes

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Titel: Predicting response to cognitive-behavioral therapy in a sample of HIV-positive patients with chronic pain
Auteurs: Michael A. Cucciare
John T. Sorrell
Jodie A. Trafton
Publicatiedatum: 01-08-2009
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 4/2009
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-009-9208-5

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Abstract

Introduction

Method

Data analysis and Results

Conclusion

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