Table 2.

Linear regression results for treatment seeking outcome variables.

Variable	Model 1			Model 2
	B	β	SE	B	β	SE
Total Contacts
Constant	132.69∗∗		5.35	132.69∗∗		5.86
Alcohol Sales	−1.79	−.47	0.90
COVID-19 Cases				.51	.26	0.51
R2	.22			.07
Total Unique Patients
Constant	88.25∗∗		2.60	88.25∗∗		2.68
Alcohol Sales	−0.57	−.33	0.44
COVID-19 Cases				.21	.23	0.23
R2	.11			.05
Unique Male Patients
Constant	56.31∗∗		1.86	56.31∗∗		2.00
Alcohol Sales	−0.51	−.40	0.31
COVID-19 Cases				.12	.18	0.17
R2	.16			.03
Unique Female Patients
Constant	31.94∗∗		1.77	31.94∗∗		1.75
Alcohol Sales	−0.06	−.05	0.30
COVID-19 Cases				.09	.15	0.15
R2	.003			.02

Note. Alcohol Sales and COVID-19 Cases variables were presented in millions and thousands, respectively, and centered. In Model 1, we entered Alcohol Sales (1,000,000 s of liters) to predict treatment seeking outcome variables. In Model 2, we entered COVID-19 Cases in Skåne (1,000 s) to predict treatment seeking outcome variables. Model = “Enter” method in SPSS; B = unstandardized regression coefficient; CI = confidence interval; LL = lower limit, UL = upper limit; SE = standard error of unstandardized coefficient; β = standardized coefficient; R² = coefficient of determination.

∗p < .05. ∗∗p < .01.