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. Author manuscript; available in PMC: 2012 Sep 4.
Published in final edited form as: Sleep Med. 2011 May 12;12(6):603–609. doi: 10.1016/j.sleep.2010.09.018

Table 2.

Simple bootstrapped (n=1000) mediation models of direct and indirect (via sleep disruption) effects of Group on pain responses.

Effect Estimate Bootstrap
SE
t 95% Bias Corrected CI
DV: Pain Threshold Composite
RLS-to-PSQI (Sleep Disturbance) 3.5 .70 5.0*
PSQI-to-DV −.06 .03 −2.1*
RLS-to-DV (Total Effect) −.29 .14 −2.0*
RLS-to-DV (Direct Effect) .08 .17 −.45
RLS-to-DV (Indirect Effect) −.21 .10 a (LL = −.44; UL = −.04)
DV: Temporal Summation (49°C)
RLS-to-PSQI (Sleep Disturbance) 3.5 .70 5.0*
PSQI-to-DV .03 .03 1.0
RLS-to-DV (Total Effect) .57 .15 3.8*
RLS-to-DV (Direct Effect) .45 .19 2.4*
RLS-to-DV (Indirect Effect) .11 .10 a (LL = −.07; UL = .34)
DV: Temporal Summation (51°C)
RLS-to-PSQI (Sleep Disturbance) 3.5 .70 5.0*
PSQI-to-DV .05 .03 1.4
RLS-to-DV (Total Effect) .57 .15 3.8*
RLS-to-DV (Direct Effect) .41 .18 2.2*
RLS-to-DV (Indirect Effect) .16 .10 a (LL = −.01; UL = .38)

Note. Table shows unstandardized coefficients for the indirect effect of RLS (IV) on pain outcomes (DVs specified within Table) through self-reported global sleep disturbance (PSQI; mediator). PSQI = Pittsburgh Sleep Quality Index; CI = Confidence Interval; LL = lower limit; UL = upper limit.

a

A p-value for the indirect effect is not provided because this value is depends upon a normal distribution of the indirect effect. Given that indirect effects are positively skewed, interpretation of this p-value is misleading and should thus not be used as a determinant of statistical mediation.

*

p < .05