Local Context Influence, Activity Space, and Foodscape Exposure in Two Canadian Metropolitan Settings: Is Daily Mobility Exposure Associated with Overweight?

Table 3

Three-step procedure estimating overweight among men and women in Montreal and Quebec City.

		Montreal								Quebec
		Men				Women				Men				Women
1- Null Model	Area-Level Components	Coeff.	S.E.			Coeff.	S.E.			Coeff.	S.E.			Coeff.	S.E.
	Variance	0.216	0.055		*	0.277	0.081		*	0.004	0.031			0.184	0.052		*
2- Individual SES model	Variables	OR	(95% Cl)			OR	(95% Cl)			OR	(95% Cl)			OR	(95% Cl)
	Age 18–24	1.00				1.00				1.00				1.00
	Age 25–44	1.44	0.79	2.62		0.98	0.71	1.36		5.29	2.91	9.59	*	1.44	0.79	2.62
	Age 45–64	2.19	1.27	3.78	*	2.78	1.45	5.34	*	6.89	3.86	12.3	*	2.19	1.27	3.78	*
	Age over 65	1.94	0.95	3.95		5.01	2.75	9.12	*	4.63	2.28	9.41	*	1.94	0.95	3.95
	No HS degree	2.01	1.04	3.89	*	4.63	2.25	9.54	*	1.23	0.77	1.96		2.01	1.04	3.89	*
	College or HS	0.98	0.52	1.82		2.83	1.54	5.20	*	1.46	1.07	2.00	*	0.98	0.52	1.82
	University degree	1.00				1.00				1.00				1.00
	Low income	1.24	0.86	1.79		1.09	0.78	1.52		0.81	0.55	1.18		1.24	0.86	1.79
	Missing income	0.93	0.57	1.50		0.98	0.64	1.50		0.90	0.53	1.52		0.93	0.57	1.50
	High income	1.00				1,00				1,00				1.00
	Area-Level Components	Coeff.	S.E.			Coeff.	S.E.			Coeff.	S.E.			Coeff.	S.E.
	Variance 𝜎^2𝑢0	0.198	0.050		*	0.200	0.065		*	0.000	0.000			0.185	0.054		*
3-Independent models for contextual indicators	Variables	OR	(95% Cl)			OR	(95% Cl)			OR	(95% Cl)			OR	(95% Cl)
	Social diversity	0.74	0.64	0.86	*	0.83	0.70	0.98	*	0.92	0.84	1.01		0.86	0.72	1.02
	Financial insecurity	0.91	0.77	1.07		1.15	0.98	1.36		0.97	0.88	1.07		1.21	1.03	1.43	*
	Centrality	0.76	0.65	0.89	*	0.76	0.65	0.89	*	0.90	0.82	0.99	*	0.89	0.73	1.10
	O-NF—% fast-foods	1.34	1.14	1.56	*	1.26	1.06	1.49	*	1.06	0.96	1.16		1.28	1.09	1.51	*
	E-ASF—% fast-foods	1.31	1.12	1.53	*	1.08	0.88	1.32		1.10	0.99	1.21		1.15	0.97	1.37