. Author manuscript; available in PMC: 2015 Jun 1.

Published in final edited form as: Exp Clin Psychopharmacol. 2014 Feb 3;22(3):229–237. doi: 10.1037/a0035306

Table 2.

Regression results for the mediation models.

Y	Model	b	SE	t	p	CI (lower)	CI (upper)
1	ASI →→ AIS (a)	.104	.049	2.131	.034	.008	.120
	AIS →→ BCS (b)	.503	.040	12.467	<.0001	.424	.583
	ASI →→ BCS (c′)	.048	.042	1.126	.261	−.036	.131
	ASI →→ BCS (c)	.100	.049	2.052	.041	.004	.196
	ASI →→ AIS 33 BCS (a*b)	.052	.023			.008	.098

2	AIS →→ #QUIT (b)	.023	.011	2.048	.041	.001	.045
	ASI →→ #QUIT (c′)	.011	.012	.883	.378	−.013	.034
	ASI →→ #QUIT (c)	.013	.012	1.084	.279	−.010	.036
	ASI →→ AIS →→ #QUIT (a*b)	.002	.001			.001	.007

3	AIS →→ PROB (b)	.018	.003	6.986	<.0001	.013	.023
	ASI →→ PROB (c′)	.013	.003	4.712	<.0001	.007	.018
	ASI →→ PROB (c)	.014	.003	4. 993	<.0001	.009	.020
	ASI →→ AIS →→ PROB (a*b)	.001	.001			−.001	.003

4	AIS →→ SCQ-NR (b)	.063	.007	8.928	<.0001	.049	.076
	ASI →→ SCQ-NR (c′)	.003	.007	.344	.731	−.012	.017
	ASI →→ SCQ-NR (c)	.009	.008	1.140	.255	−.007	.025
	ASI →→ AIS →→ SCQ-NR (a*b)	.007	.003			.001	.012

Note. Path a is equal across all model; therefore, it presented only in the model with Y₁ to avoid redundancies. n = 466 in models of Y_1,2,4; n = 433 in model of Y₃ (i.e., those reporting ≥ 1 previous quit attempt). The standard error and 95% CI for a*b are obtained by bootstrapping with 10,000 re-samples. ASI (Anxiety sensitivity) is the independent variable (X), AIS (Smoking-related affective Inflexibility) is the mediator (M), and BCS (Barriers to Smoking Cessation total score; Y₁), #QUIT (Number of previous quit attempts; Y₂), PROB (Severity of quit problems experienced; Y₃), and SCQ-NR (Negative reinforcement expectancies; Y₄), are the outcomes. CI (lower) = lower bound of a 95% confidence interval; CI (upper) = upperbound; →→=affects.