Table 2.

Regression results for the tested models.

Y	Model	b	SE	t	p	CI (lower)	CI (upper)
1	PSWQ →S-AIS (a)	.175	.049	3.550	.0004	.078	.272
	S-AIS → FTND (b)	.055	.010	5.451	< .0001	.035	.075
	PSWQ → FTND (c’)	.015	.011	1.357	.176	−.007	.0336
	PSWQ → FTND (c)	.024	.011	2.211	.028	.003	.046
	PSWQ → S-AIS → FTND (a*b)	.010	.003			.004	.017
2	S-AIS → MASC (b)	.145	.032	4.562	< .0001	.083	.208
	PSWQ → MASC (c’)	−.028	.034	−.812	.417	−.094	.039
	PSWQ → MASC(c)	−.002	.034	−.065	.948	−.070	.065
	PSWQ → S-AIS → MASC (a*b)	.025	.009			.011	.048
3	S-AIS → BCS (b)	.510	.039	12.986	< .0001	.433	.588
	PSWQ → BCS (c’)	.094	.042	2.239	.026	.012	.177
	PSWQ → BCS (c)	.183	.048	3.785	.0002	.088	.278
	PSWQ → S-AIS → BCS (a*b)	.089	.025			.042	.139
4	S-AIS → PROB (b)	.018	.003	6.911	< .0001	.013	.023
	PSWQ → PROB (c’)	.005	.003	1.650	.099	−.001	.010
	PSWQ → PROB (c)	.001	.003	2.685	.008	.002	.014
	PSWQ → S-AIS → PROB (a*b)	.003	.001			.002	.005

Note. Path a is equal across all models; therefore, it presented only in the model with Y₁ to avoid redundancies. N for analyses of models Y₁–Y₃ included 466 cases. Analyses for Y4 include 432 cases (those reporting ≥ 1 lifetime quit attempts). The standard error and 95% CI for a*b are obtained by bootstrap with 10,000 re-samples. PSWQ (trait worry) is the predictor variable (X), S-AIS (Smoking-related affective Inflexibility) is the explanatory variable (M), and FTND (nicotine dependence; Y₁), MASC (motivational aspects of quitting; Y₂), BCS (barriers to smoking cessation; Y₃), and PROB (severity of quit problems; Y₄) are the criterion variables. CI (lower) = lower bound of a 95% confidence interval; CI (upper) = upper bound; → = affects.