Table 2.

Logistic regression models for the weighted odds of having made a quit attempt in the last month, comparison of years within Stoptober period (2012–2017). n = 26 611

	Odds ratio (95% confidence interval)a	p-value	Bayes factor
Octoberb
2012	1.92 (1.23 to 2.98)	.004	23.73
2013	1.23 (0.76 to 1.97)	.399	1.02
2014	0.66 (0.40 to 1.09)	.106	0.23
2015	1.84 (1.14 to 2.95)	.012	10.49
2016	0.67 (0.34 to 1.32)	.244	0.36
2017	1.09 (0.63 to 1.91)	.752	0.71
October × yearc
2012	Ref
2013	0.64 (0.34 to 1.21)	.172	0.23
2014	0.34 (0.38 to 0.66)	.001	0.13
2015	0.96 (0.51 to 1.82)	.899	0.45
2016	0.35 (0.15 to 0.78)	.011	0.19
2017	0.57 (0.28 to 1.15)	.117	0.23

^aAdjusted for month of the year, age, gender, social grade, cumulative tobacco control policy score, tax increases, mass media campaign expenditure.

^bOctober coded as 1 = October versus 0 = other months of the year. Odds ratios (Ors) represent odds of quit attempt in October versus other months of the year, within each year.

^cORs represent difference in odds of quitting in October instead of other months, between 2012 and each consecutive year.