TABLE 3—
Linear Regression Model Fitting Individual Outlet Weekly Hours of Operation With Neighborhood Socioeconomic Status and Outlet Type: Ontario, Canada, 2013–2017
| Model A,a Change in Hours (95% CI) | Model B,b Change in Hours (95% CI) | Model C,b Change in Hours (95% CI) | |
| OMI dimensionsc | |||
| Material deprivation | . . . | 0.01 (−0.31, 0.34) | 1.39 (0.60, 2.18) |
| Residential instability | . . . | 0.13 (−0.25, 0.52) | 0.11 (−0.27, 0.49) |
| Ethnic concentration | . . . | 0.82 (0.39, 1.24) | 0.87 (0.44, 1.29) |
| Government dependency | . . . | 0.53 (0.08, 0.98) | 0.59 (0.14, 1.04) |
| Population density, quintilsd | . . . | 0.36 (0.01, 0.71) | 1.96 (1.05, 2.87) |
| No. of outlets | . . . | 1.42 (0.88, 1.96) | 1.35 (0.81, 1.89) |
| Total population, hundreds | . . . | −0.01 (−0.05, 0.03) | −0.01 (−0.05, 0.03) |
| Type of outlet (Ref = LCBO) | |||
| The Beer Store | 1.36 (−0.13, 2.84) | −0.63 (−1.66, 0.40) | −0.67 (−1.69, 0.35) |
| The Wine Shop | 9.62 (7.00, 12.23) | 2.80 (1.32, 4.27) | 2.54 (1.07, 4.00) |
| The Wine Rack | 11.07 (8.91, 13.23) | 5.75 (4.49, 7.02) | 5.67 (4.42, 6.93) |
| Agency storee | 0.09 (−1.86, 2.03) | NA | NA |
| Grocery store | 19.26 (17.32, 21.2) | 13.17 (11.95, 14.38) | 12.97 (11.77, 14.18) |
| Intercept | 65.89 (64.67, 67.11) | 62.27 (54.99, 69.55) | 57.57 (49.93, 65.20) |
| Interaction: population density × deprivation | . . . | . . . | −0.45 (−0.69, −0.21) |
| Adjusted R2 | 0.275 | 0.466 | 0.475 |
Notes. CI = confidence interval; LCBO = Liquor Control Board of Ontario; NA = not applicable.
Model A shows the unadjusted average hours by outlet type for all of Ontario.
Models B and C are for large urban population centers only and are adjusted for the percentage of the male population who are aged 15 to 65 years and 65 years or older and the percentage of the female population who are aged 15 to 65 years and 65 years or older.
The coefficients of 4 OMI dimensions represent the effect of increasing the marginalization of a neighborhood by 1 quintile on the total weekly hours of operation for an outlet in that neighborhood.
The coefficient for population density represents the effect of increasing the population density of a neighborhood by 1 quintile on the total weekly hours of operation for an outlet in that neighborhood.
LCBO agency stores were only located outside large urban population centers.