Table 4.

Logistic regression modeling of recanting status by wave I smoking stage among original population of size n = 8 678 962.

	Wave I smoking stage
	Puffer		Light		Occasional		Regular		Ex-smoker
Covariates	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI
Intercept*	0.14	0.09, 0.21	0.22	0.16, 0.32	0.09	0.06, 0.14	0.06	0.03, 0.12	0.02	0.01, 0.10
Age†	1.44	1.14, 1.82	1.17	0.97, 1.41	1.09	0.88, 1.35	0.98	0.53, 0.81	0.95	0.53, 1.72
Female	1.27	0.84, 1.93	1.04	0.72, 1.49	1.15	0.77, 1.71	0.26	0.13, 0.55	2.14	0.52, 8.78
Race
Black	1.91	1.18, 3.10	3.43	2.27, 5.20	3.60	1.97, 6.57	2.54	0.38, 16.75	4.55	0.84, 24.61
Hispanic	0.77	0.36, 1.62	1.92	1.11, 3.31	1.95	1.02, 3.73	0.07	0.02, 0.29	8.05	2.29, 28.27
Asian	0.76	0.23, 2.48	4.42	1.70, 11.52	0.77	0.22, 2.62	0.19	0.03, 1.00	0.62	0.16, 2.39
Other	1.81	0.83, 3.93	2.04	1.00, 4.15	0.73	0.30, 1.76	3.78	0.86, 16.55	‡	‡
Poverty	1.28	0.80, 2.07	1.58	1.10, 2.28	1.93	1.36, 2.73	2.28	0.57, 9.12	1.57	0.40, 6.15

OR = odds ratio; CI = confidence interval.

^*Intercept denotes baseline odds.

^†Age has been standardized to zero mean and unit variance.

^‡Race = Other is a perfect predictor of non-recanting among ex-smokers; therefore, these observations were dropped and the model was fitted on the remaining ex-smokers.