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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Clin J Pain. 2019 Jul;35(7):569–576. doi: 10.1097/AJP.0000000000000711

Table 3.

Summary of Direct and Indirect Effects for Models in which Associations Between Sleep Disturbance and Chronic Pain Intensity Are Mediated by Psychosocial Factors.

Bootstrap 95% Confidence Intervals forIndirect Effects
Outcome Mediator Direct Effect of Sleep Disturbance Lower Upper
MPQ-Sensory BDI p = .006  0.023 0.227
STAI p = .002 −0.016 0.174
PANAS-PA p < .001 −0.044 0.109
CATS p = .005 −0.017 0.220
MPQ-Affective BDI p = .059  0.017 0.133
STAI p = .037  0.014 0.118
PANAS-PA p = .009  0.006 0.083
CATS p = .102  0.019 0.138
VAS Intensity BDI p < .001  0.067 0.543
STAI p < .001 −0.151 0.320
PANAS-PA p < .001 −0.055 0.322
CATS p < .001  0.108 0.693

Note: Each row represents a unique analysis testing a single mediator. Bootstrap 95% confidence intervals that do not contain zero are significant at p<0.05 (in bold). MPQ = McGill Pain Questionnaire–Short Form (Past Month), BDI = Beck Depression Inventory, STAI = State Trait Anxiety Inventory, PANAS-PA = Positive Affect subscale of the Positive and Negative Affect Schedule, CATS = Pain Catastrophizing Scale