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Information processing in chronic pain disorder: A preliminary analysis

Authors :
Anthony Iezzi
Danielle Hale
Melanie P. Duckworth
Henry E. Adams
Source :
Journal of Psychopathology and Behavioral Assessment. 19:239-255
Publication Year :
1997
Publisher :
Springer Science and Business Media LLC, 1997.

Abstract

Researchers have alternately suggested selective attention, impaired stimulus filtering, and affective language deficiency models as accounting for multiple somatic complaints in persons with chronic pain disorder. The purpose of the present study was to establish the comparative usefulness of these three models for explaining somatic focus in a chronic pain population. Nine chronic pain patients evidencing high somatic focus (somatizing chronic pain patients), 10 chronic pain patients evidencing low somatic focus (nonsomatizing chronic pain patients), and 10 healthy control subjects were administered a computerized version of the emotional Stroop test as a test of these models. A total of 105 pain-, depression-, and neutral-content words were used as Stroop test stimuli. Stroop test color-naming response latencies were submitted to a two-way Group × Word Type mixed-model ANOVA, with Word Type as the repeated measure. Results reveal that neither the selective attention model nor the affective language deficiency model adequately explain Stroop test performance in somatizing chronic pain patients. Findings provide tentative support for the impaired stimulus filtering model, with somatizing chronic pain patients evidencing similar Stroop test response delays across all words. These results suggest that chronic pain sufferers misinterpret bodily sensations. Findings are discussed in terms of a bilevel approach for treatment of somatizing chronic pain patients that would include assisting the patient in accurate appraisal and interpretation of physical symptoms.

Details

ISSN :
15733505 and 08822689
Volume :
19
Database :
OpenAIRE
Journal :
Journal of Psychopathology and Behavioral Assessment
Accession number :
edsair.doi...........d32f78591e52ea2cedbec79b7d932cba
Full Text :
https://doi.org/10.1007/bf02229181