A biopsychosocial model of pain and depression in rheumatoid arthritis : a 12-month longitudinal study

Tanya Covic, Barbara Adamson, David Spencer, Graydon Howe

    Research output: Contribution to journalArticle

    132 Citations (Scopus)

    Abstract

    Objective. To cross-validate a biopsychosocial model using physical disability, helplessness and passive coping to predict depression and pain in rheumatoid arthritis (RA). Methods. Clinical and psychological measures were collected from 157 RA patients at three time points over a period of 12 months. Path analysis was used for cross-sectional and longitudinal prediction of depression and pain. Results Helplessness and passive coping were found to be significant mediators of the relationship between the physical disability and future depression and pain. Cross-sectionally, the predictive model could account for 52–94% of the variance of pain and 37–71% of the variance of depression. Longitudinally, the predictive model could explain 29–43% of the variance of pain and 21–33% of the variance of depression. Conclusions. These results suggest that physical disability, helplessness and passive coping have a significant impact on the levels of pain and depression experienced by RA patients.
    Original languageEnglish
    Number of pages8
    JournalRheumatology
    Publication statusPublished - 2003

    Keywords

    • biopsychosocial model
    • depression
    • helplessness
    • pain
    • physical disability
    • rheumatoid arthritis

    Fingerprint

    Dive into the research topics of 'A biopsychosocial model of pain and depression in rheumatoid arthritis : a 12-month longitudinal study'. Together they form a unique fingerprint.

    Cite this