Validating the MPI-DLV using experience sampling data

The present study investigates the relationship between scale scores on the Dutch version of the Multidimensional Pain Inventory (MPI-DLV) and data derived from comparable items from an experience sampling procedure. Fifty-seven chronic pain patients participated in the study, which lasted 6 consecu...

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Bibliographic Details
Published in:Journal of behavioral medicine 1997-04, Vol.20 (2), p.195-206
Main Authors: LOUSBERG, R, SCHMIDT, A. J. M, GROENMAN, N. H, VENDRIG, L, DIJKMAN-CAES, C. I. M
Format: Article
Language:English
Subjects:
Adult
Biological and medical sciences
Chronic Disease
Cross-Cultural Comparison
Defense Mechanisms
Female
Humans
Male
Medical sciences
Middle Aged
Netherlands
Pain - classification
Pain - psychology
Pain Measurement - statistics & numerical data
Psychology. Psychoanalysis. Psychiatry
Psychometrics
Psychometrics. Diagnostic aid systems
Psychopathology. Psychiatry
Reproducibility of Results
Sick Role
Techniques and methods
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Summary:The present study investigates the relationship between scale scores on the Dutch version of the Multidimensional Pain Inventory (MPI-DLV) and data derived from comparable items from an experience sampling procedure. Fifty-seven chronic pain patients participated in the study, which lasted 6 consecutive days. Special attention was given to the relationship between the MPI-DLV pain intensity score and the mean experience sampling pain intensity score. Significant correlations were found between the MPI-DLV scales Pain Severity, Interference, Solicitous, Punishing and Distracting Responses, and Household Chores and their experience sampling analogues. A marginally significant correlation was found with regard to the MPI-DLV Life Control scale. The General Activity and Affective Distress scales had no relationship with the analogous experience sampling items. The significant correlations were regarded as further validation of the MPI-DLV. A regression analysis revealed that 58% of the variance of the experience sampling pain intensity score could be explained by the MPI-DLV present pain intensity item score.
ISSN:0160-7715
1573-3521
DOI:10.1023/a:1025534812341