Table 2.

Multilevel regression results examining the association between cost of food purchases, food purchase type, and residence in a disadvantaged neighborhood (core) in Saskatoon, Saskatchewan.

	Model 1	Model 2	Model 3
	Beta (95% CI)	Beta (95% CI)	Beta (95% CI)
Intercept	4.8 (4.4 to 5.1)	4.5(3.9 to 5.0)	4.4(3.8 to 5.0)
Food category
Fruit		–	–
Vegetables		− 0.4(− 0.6 to − 0.1)	− 0.8 (− 1.2 to − 0.1)
Meat and alternatives		3.9 (3.6 to 4.2)	4.6 (4.2 to 4.2)
Dairy		0.4 (0.1 to 0.7)	0.4 (0.0 to 0.7)
Grain		− 0.1 (− 0.4 to 0.3)	− 0.1 (− 0.6 to 0.3)
Sugar sweetened beverages		0.1 (− 0.2 to 0.4)	0.3 (− 0.2 to 0.4)
Non nutritive beverages		2.0 (1.5 to 2.6)	2.5 (1.7 to 2.6)
Snack foods		0.0 (− 0.3 to 0.2)	0.2 (− 0.3 to 0.2)
Prepared foods		2.3 (1.9 to 2.7)	3.0 (2.4 to 2.7)
Flavoring		0.3 (0.0 to 0.6)	0.3 (− 0.2 to 0.6)
Non food items		1.0 (0.7 to 1.4)	1.2 (0.6 to 1.4)
Core neighborhood residence		− 0.6 (− 1.3 to 0.1)	− 0.4 (− 1.2 to 0.1)
Food category*core neighborhood
Fruit*core			–
Vegetables*core			0.7 (0.2 to 1.2)
Meat and alternatives*core			− 1.2 (− 1.8 to − 0.6)
Dairy*core			0.0 (− 0.6 to 0.5)
Grain*core			0.0 (− 0.7 to 0.6)
Sugar sweetened beverages*core			− 0.4 (− 1.0 to 0.3)
Non nutritive beverages*core			− 0.9 (− 2.0 to 0.3)
Snack foods*core			− 0.4 (− 1.0 to 0.2)
Prepared foods*core			− 1.1 (− 2.0 to − 0.3)
Flavoring*core			− 0.1 (− 0.7 to 0.6)
Non food items*core			− 0.3 (− 1.0 to 0.4)