Table 4.

Best fitting multiple linear regression model for the reappraisal and suppression scores

	Unstandardized Coefficients		Standardized Coefficients	t-test	p-value	95% Confidence Interval for B
	B	Std. Error				Lower	Upper
Reappraisal score
Constant	19.95	1.83		10.922	< 0.001	16.35	23.55
Time	2.76	1.10	0.17	2.506	0.013	0.59	4.93
Intervention	2.14	1.10	0.14	1.943	0.053	-0.03	4.31
r-square = 0.05Model ANOVA: F = 5.03, p = 0.007 Variables entered and excluded: age, gender, education, job, marital status, residence, age at start, duration of use, number of substances, LOS
Suppression score
Constant	23.59	1.67		14.114	< 0.001	20.29	26.89
Time	-3.70	0.82	-0.29	-4.518	< 0.001	-5.31	-2.09
Intervention	-3.58	0.82	-0.28	-4.371	< 0.001	-5.20	-1.97
Duration of use	-0.87	0.39	-0.14	-2.238	0.026	-1.64	-0.10
r-square = 0.18Model ANOVA: F = 14.50, p < 0.001 Variables entered and excluded: age, gender, education, job, marital status, residence, age at start, number of substances, LOS