Table 3.

Logistic regression models predicting 12-week prolonged abstinence from empirical Bayes estimates of pre- and post-quit intercepts in subjective ratings.

Predictor		B (SE)	OR	95% CI
Craving to smoke (n=94)
Pre-quit intercept		−.583 (.271)	.558	.328–.949a
Change in pre-post quit average		−.643 (.317)	.526	.282–.978
Sadness (n=94)
Pre-quit intercept		−1.590 (.576)	.204	.066–.630*
Change in pre-post quit average		−.444 (.796)	.641	.135–3.051
Anxiety (n=94)
Pre-quit intercept		−1.161 (.414)	.313	.139–.705*
Change in pre-post quit average		−.522 (.541)	.593	.205–1.714
Anger (n=94)
Pre-quit intercept		−1.007 (.477)	.365	.143–.931
Change in pre-post quit average		−.646 (.719)	.524	.128–2.145
Hunger (n=94)
Pre-quit intercept		−.587 (.383)	.556	.262–1.178
Change in pre-post quit average		.943 (.612)	2.567	.774–8.516
Positive Affect (n=94)
Pre-quit intercept		.107 (.229)	1.113	.711–1.743
Change in pre-post quit average		.918 (.674)	2.503	.668–9.375
Motivation to quit (n=93)
Pre-quit intercept		.335 (.268)	1.398	.826–2.365
Change in pre-post quit average		.467 (.357)	1.596	.792–3.214
Quitting Confidence (n=93)
Pre-quit intercept		.805 (.297)	2.237	1.249–4.008
Change in pre-post quit average		.724 (.396)	2.063	.950–4.480

Note Bolded values retained significance when covariates were included

^*significant at Bonferroni-corrected p <.006 for 8 candidate mediators

^aNon-significant at p<0.05 when entered as only predictor (without empirical Bayes’ estimate of post-quit intercept) or with baseline covariates.