Table 2.
Results from GLMM analyses modeling daily associations between home opioid use and psychological factors in youth with SCD
Variable | SE | z | p | OR | 95% CI | |
---|---|---|---|---|---|---|
Model 1—child daily diary variables | ||||||
Intercept | −3.779 | 0.778 | −4.856 | <.001 | ||
Day | −0.048 | 0.064 | −0.760 | .447 | ||
Pain intensity | 0.387 | 0.092 | 4.224 | <.001 | 1.473 | 1.231–1.763 |
Pain catastrophizing | 0.146 | 0.086 | 1.705 | .088 | 1.157 | 0.978–1.369 |
Negative affect | 0.193 | 0.096 | 2.001 | .045 | 1.213 | 1.004–1.465 |
Model 2—caregiver daily diary variables | ||||||
Intercept | −3.863 | 0.766 | −5.040 | <.001 | ||
Day | −0.048 | 0.057 | −0.840 | .401 | ||
Catastrophizing about child’s pain | 0.120 | 0.095 | 2.003 | .045 | 1.209 | 1.004–1.455 |
Caregiver negative affect | 0.196 | 0.105 | 1.865 | .062 | 1.216 | 0.990–1.493 |
Caregiver diary variables were run in separate models from child variables in order to reduce cross-informant bias. Analyses of the subset of youth (n = 11) who took an opioid at least 1 day during the diary period yielded similar results.
CI confidence interval; GLMM generalized linear mixed model; OR odds ratio; SCD sickle cell disease; SE standard error.