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Development and Initial Validation of the Pain Resilience Scale
P Maxwell Slepian1, Brett Ankawi1, Lina K Himawan1
1Department of Psychology, Ohio University, Athens, Ohio.
The Journal of Pain
|January 10, 2016
Summary
A new Pain Resilience Scale was developed and validated. This scale, measuring cognitive/affective positivity and behavioral perseverance, better predicts acute pain responses than general resilience measures.
Area of Science:
- Psychology
- Pain Research
- Positive Psychology
Background:
- Positive psychology's role in pain experience is increasingly recognized.
- Resilience, the ability to maintain function despite adversity, is a key positive factor.
- Existing general resilience measures show some relation to pain, but a pain-specific measure may be more predictive.
Purpose of the Study:
- To develop and validate a novel scale measuring resilience specific to the pain experience.
- To test if a pain-specific resilience measure is a stronger predictor of acute pain than general resilience.
Main Methods:
- Exploratory and confirmatory factor analyses were used to develop the Pain Resilience Scale (Study 1).
- Test-retest reliability and construct validity were assessed, including relationships with positive functioning and pain catastrophizing (Study 2).
- The scale's predictive utility for acute experimental pain (ischemic pain) was compared against general resilience measures (Study 3).
Main Results:
- Factor analyses supported a two-factor structure for the Pain Resilience Scale: Cognitive/Affective Positivity and Behavioral Perseverance.
- The scale demonstrated good reliability and construct validity, with expected correlations with related psychological measures.
- The Pain Resilience Scale showed stronger relationships with acute ischemic pain responses compared to general resilience measures.
Conclusions:
- The Pain Resilience Scale is a valid and reliable measure of cognitive/affective positivity and behavioral perseverance in the context of pain.
- This pain-specific resilience measure demonstrates predictive utility for individual differences in acute experimental pain responses.

