Among respondents who were smoking at two consecutive waves, scores on the variability measure were buy inhibitor moderately correlated between waves (Pearson��s r = .46, .48), and there was a similar correlation over three waves (Pearson��s r = .41). There was a significant association between TTFC and variation in consumption at each wave (p < .001 at Waves 1�C3 and p = .002 at Wave 4). Those who reported smoking more on a work day were the least likely to report smoking their first cigarette within 5 min of waking (see Table 2). In addition, those who smoked moderately more on a work day or a nonwork day were likely to smoke fewer cigarettes per day overall (see Table 3). We also compared smoking policies at work and home across the levels of variation in consumption and found significant associations at each wave.

Those who reported smoking more on a work day were most likely to report being allowed to smoke indoors at work (p < .001 at Waves 1�C3 and p = .002 at Wave 4; see Table 2). They were also the most likely to report having a total ban on smoking at home (p < .001 at each wave; see Table 2). Table 2. Measure of Variation in Consumption Stratified by Reported Smoking First Cigarette Within 5 Min of Waking, Level of Restriction on Smoking at Home and Work, and Enjoy Smoking Too Much To Give it up (Range Across Wave 1 to Wave 4; Lowest to Highest) Quit Attempts We first explored the univariate associations between variability in daily consumption and the likelihood of making a quit attempt at each wave separately.

Variation in daily consumption was a significant predictor of making quit attempts in the first three wave-to-wave transitions and was trending in the same direction in the fourth when the sample size was markedly smaller. Those who reported they smoked much more on a work day than a nonwork day were the most likely to make a quit attempt, followed by those who reported they smoked moderately more on a work day, with little difference between the other three categories. The multivariate GEE analyses predicting quit attempts, combined 9,187 observations from 5,732 individuals (see Table 4). Both before and after controlling for environmental restrictions, nicotine dependence, smoking for pleasure and social normativeness, variation in daily consumption was a significant predictor of making quit attempts, with the size of the odds ratio not altered appreciably (see Table 4).

There was a significant interaction between country and smoking policy at work (p = .013). Reporting that smoking was allowed in some areas at work (compared with a total ban in indoor areas) was positively associated with making a quit attempt in Canada (OR = 1.73, 95% CI = 1.19�C2.51) and negatively associated in Australia (OR = 0.67, 95% CI Dacomitinib = 0.45�C0.99). Table 4.