Table 2.

Multilevel multinomial regression models of fast food restaurant access as a predictor of fast food purchasing

	Model One		Model Two		Model Three		Model Four		Model Five
	Unadjusted		Adjusted for socio-demographic		Model 2 + socio-economic		Model 3 + area-level disadvantage		Model 4 + attitude
	OR	(95% CI)	OR	(95% CI)	OR	(95% CI)	OR	(95% CI)	OR	(95% CI)
Density of fast food stores
Monthly purchasing	1.07	(1.00 – 1.13)*	1.06	(0.99 – 1.14)	1.05	(0.99 – 1.11)	1.04	(0.98 – 1.11)	1.05	(0.98 – 1.11)
Weekly purchasing	1.10	(1.02 – 1.18)*	1.09	(1.00 – 1.18)*	1.07	(0.99 – 1.15)	1.04	(0.96 – 1.13)	1.05	(0.97 – 1.14)
Variety of fast food stores
Monthly purchasing	1.16	(1.05 – 1.28)**	1.15	(1.04 – 1.28)**	1.13	(1.03 – 1.24)**	1.13	(1.02 – 1.24)*	1.13	(1.02 – 1.25)*
Weekly purchasing	1.21	(1.07 – 1.37)**	1.19	(1.04 – 1.36)*	1.13	(1.00 – 1.29)*	1.10	(0.96 – 1.25)	1.11	(0.97 – 1.27)
Proximity to the nearest store (km)
Monthly purchasing	0.88	(0.74 – 1.05)	0.88	(0.73 – 1.06)	0.89	(0.76 – 1.06)	0.91	(0.77 – 1.07)	0.90	(0.76 – 1.07)
Weekly purchasing	0.77	(0.62 – 0.96)*	0.77	(0.61 – 0.97)*	0.82	(0.65 – 1.02)	0.85	(0.67 – 1.07)	0.82	(0.65 – 1.03)

* p-value significant at < 0.05 level

** p-value significant at <0.01 level

*** p-value significant at <0.001 level

Reference group: never eat fast food