Abstract
Although large interindividual differences in pain exist, the underlying factors that
contribute to these variations remain poorly understood. Consequently, being able
to accurately explain variability in pain ratings in terms of its contributing factors
could provide insights into developing a better understanding of individual differences
in pain experience. In the present investigation, we show that a significant portion
of the variability in experimental heat pain ratings may be predicted using simple
quantitative sensory testing and a series of psychological questionnaires including
State Trait and Anxiety Inventory (STAI), Center for Epidemiologic Studies – Depression
Scale (CES-D), and Positive and Negative Affect Schedule – Expanded form (PANAS-X).
A factor analysis was used to reduce individual predictors into sets of composite
predictive factors. A multifactorial model that was generated from these factors can
reliably predict a significant amount of the variability in heat pain sensitivity
ratings (r2 = .537, P = .027). Moreover, individual variables including heat pain thresholds and self-assessment
of pain sensitivity were found to be poor predictors of heat pain sensitivity. Taken
together, these results suggest that a variety of factors underlie individual differences
in pain experience and that a reliable model for predicting pain should be constructed
from a combination of these factors.
Perspective
The present study provides a way to predict subjects' experimental heat pain sensitivity
using a multifactorial model generated from a combination of sensory and psychological
factors. Future application of such a model in the studies of clinical pain could
potentially improve the quality of care provided for patients in pain.
Key words
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Article info
Publication history
Published online: June 07, 2010
Accepted:
March 21,
2010
Received in revised form:
March 15,
2010
Received:
April 24,
2009
Footnotes
Supported by NIHR01 NS39426 and DA20168.
Identification
Copyright
© 2010 American Pain Society. Published by Elsevier Inc. All rights reserved.