Table 4.

General linear models for the prediction of opioid prescription

	Variable	Estimate	OR (per SD)	SE	p-value
Base Model
1	Pain Intensity	0.159	1.41	0.023	< 0.001
Models with One Additional Predictor
2	Anxiety	−0.001	0.99	0.006	0.834
3	Depression	0.003	1.03	0.006	0.643
4	Age	0.004	1.06	0.003	0.195
5	Female	−0.131	0.88	0.101	0.192
6	PCS Score	0.006	1.08	0.004	0.109
Model with PCS and interaction
7	Pain Intensity	0.236	1.66	0.041	< 0.001
	PCS Score	0.034	1.56	0.01	0.001
	PCS:Pain Intensity	−0.007	0.91 (PCS)	0.002	0.005
			0.98 (Pain Int.)
Model with PCS and interaction by sex
8 Males	Pain Intensity	0.32	2.03	0.07	< 0.001
	PCS Score	0.032	1.53	0.017	0.057
	PCS:Pain Intensity	−0.006	0.92 (PCS)	0.003	0.039
			0.99 (Pain Int.)
9 Females	Pain Intensity	0.202	1.53	0.051	< 0.001
	PCS Score	0.035	1.57	0.013	0.008
	PCS:Pain Intensity	−0.005	0.94 (PCS)	0.002	0.032
			0.99 (Pain Int.)

Note: Models were computed using blocks of predictors in predicting opioid prescription. First, pain intensity was tested as an independent predictor. Next, psychological and demographic factors were added. Third, pain intensity and pain catastrophizing scores and an interaction between these variables were estimated for the entire sample, as well as separately in males and females.