Int. J. Environ. Res. Public Health 2010, 7 2795 Table 2. Cont. Household Income Up to 4000 1.00 (ref.) 4–8 1.13 (1.11) 8+ 1.65*** (3.98) Age 18–24 1.00 (ref.) 25–44 2.20*** (5.83) 45–65 2.59*** (6.59) Marital status Non-married 1.00 (ref.) Married 1.36* (3.46) Heavy drinking (“regular drinker”) No 1.00 (ref.) Yes 0.91 (−1.14) Interest in healthy diet No 1.00 (ref.) Yes 1.08 (0.82) Region with high prevention intensity No 1.00 (ref.) Yes 1.09 (1.09) N 2,691 1.00 (ref.) 1.27** (2.76) 1.47*** (3.58) 1.00 (ref.) 1.32** (2.38) 1.18 (1.30) 1.00 (ref.) 1.36*** (4.17) 1.00 (ref.) 1.00 (0.02) 1.00 (ref.) 1.50** (3.30) 1.00 (ref.) 0.99 (−0.04) 3,599 Note: t-statistics in parentheses; * p < 0.05, ** p < 0.01, *** p < 0.001; Year dummies not reported. A strong age effect was observed among men, indicating that older smokers are more than twice as likely to quit successfully when compared with smokers in the 18–24 age group (OR = 2.59). Women who were interested in healthy eating were more likely to quit in the long run (OR = 1.50). Excessive alcohol consumption and being in a region where prevention is intensive did not seem to significantly influence successful cessation. 3.3.2. Abstinence Duration (Relapse Analysis) As suggested by Cleves et al. [20], we reported the exponentiated coefficients, also known as time ratios, because of their ease of interpretation (Table 3). Time ratios represent the factor by which the expected abstinence duration (or time before relapse) is multiplied as a result of a one unit increase in the corresponding covariate. A time ratio of 1.2 associated with a dummy variable means that the expected abstinence duration of individuals for whom the dummy equals one is 20% higher than that of individuals in the reference category. The models consistently showed that more educated individuals, especially women, had longer abstinence duration. The expected abstinence duration of individuals with higher education is twice larger than the one associated with their less educated counterparts. The income level seemed to have a smaller, although significant, impact on abstinence duration among men and women, but only for high income individuals. Marital status seemed to have no significant impact on the time before relapse. Individuals in the older age group seemed to relapse more quickly than their younger counterparts. In the regions characterised by high prevention intensity, the abstinence duration