Table 1.

Logistic regression models for the weighted odds of having made a quit attempt in the last month. n = 51 399

	Odds ratio (95% confidence interval)
	Model 1	Model 2	Model 3
Octobera	1.07 (0.92 to 1.25)	1.09 (0.93 to 1.27)	0.95 (0.76 to 1.18)c
Stoptoberb	1.09 (0.93 to 1.28)	1.16 (0.97 to 1.38)	1.12 (0.94 to 1.34)d
Interaction October × Stoptober	—	—	1.30 (0.97 to 1.75)e
Time
Month within year, per month increase	0.97 (0.96 to 0.99)	0.97 (0.96 to 0.98)	0.97 (0.96 to 0.98)
Month of study, per year increase	0.98 (0.96 to 0.99)	0.96 (0.89 to 1.04)	0.97 (0.88 to 1.03)
Sociodemographics
Age, per 10 years increase	0.89 (0.87 to 0.91)	0.89 (0.87 to 0.91)	0.89 (0.87 to 0.91)
Male gender vs female	0.96 (0.89 to 1.04)	0.96 (0.87 to 1.04)	0.96 (0.89 to 1.04)
Higher social grade vs lower	0.96 (0.91 to 1.07)	0.99 (0.91 to 1.07)	0.99 (0.91 to 1.07)
Country-level covariates
Tobacco control policies, per 1 point increase		1.01 (0.93 to 1.11)	1.02 (0.94 to 1.12)
Tax increases, per 1% increase above inflation		0.98 (0.94 to 1.01)	0.98 (0.95 to 1.01)
Mass media campaign expenditure, per 1£m increase		0.91 (0.85 to 0.98)	0.91 (0.85 to 0.98)

^aOctober coded as 1 = October versus 0 = other months of the year.

^bStoptober coded as 1 = Stoptober period 2012–2017 versus 0 = pre-Stoptober period 2007–2011.

^cOdds ratio (OR) represents difference between October and other months of the year within the pre-Stoptober period.

^dOR represents difference between Stoptober period and pre-Stoptober period within months of the year other than October.

^dOR represents difference in odds of quitting in October instead of other months, between Stoptober period and pre-Stoptober period.