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. Author manuscript; available in PMC: 2025 Jan 1.
Published in final edited form as: J Head Trauma Rehabil. 2023 Nov 6;39(1):31–42. doi: 10.1097/HTR.0000000000000909

Table 3:

Multivariable Logistic Model for Discriminating Extreme Low versus Extreme High Pain Interference Phenotypes (N = 1579 of 1762)

Extreme Low vs Extreme High Pain Interference Phenotype
Odds Ratio 95% CI p-value

Pain Intensity 0.326 (0.282, 0.378) < 0.0001 *

Neuropathic Pain Type
   CS Positive vs CS Negative 0.396 (0.208, 0.754) 0.0048 *
   CS Positive vs Unclear 0.806 (0.380, 1.709) 0.5729 -
   Unclear vs CS Negative 0.492 (0.288, 0.840) 0.0093 *

Headache Type
   Migraine vs No Headache 0.413 (0.264, 0.644) 0.0001 *
   Migraine vs Other Headache 0.685 (0.305, 1.537) 0.3585 -
   Other Headache vs No Headache 0.602 (0.279, 1.300) 0.1964 -

Pain Catastrophizing 0.806 (0.777, 0.835) < 0.0001 *

Leg Pain (Yes vs No) 0.337 (0.219, 0.519) < 0.0001 *
Hip Pain (Yes vs No) 0.462 (0.301, 0.710) 0.0004 *

CI = confidence interval; CS = clinically significant;

odds ratio shown for a 1 unit increase in predictor variable;

*

statistically significant at α = 0.05 or after Bonferroni correction of α = 0.0167 (Neuropathic Pain Type, Headache Type)