Does the socioeconomic context explain both mortality and income inequality? Prospective register-based study of Norwegian regions

Table 4 Multilevel Poisson regression of deaths 1994-2003,^a random intercept models, effects of regional variables adjusted for individual-level variables (not reported).

	Model 2		Model 3		Model 4
	IRR	95%CI	IRR	95%CI	IRR	95%CI
Region-level predictors
Gini, unit 0.05	1.105	1.059;1.152			1.138	1.048;1.236
Mean income^b			1.007	0.980;1.036	0.977	0.946;1.008
Not large/medium city			1.00		1.00
Oslo (capital)			1.107	1.001;1.224	0.959	0.844;1.090
Medium-size cities			0.957	0.899;1.018	0.938	0.886;0.992
Employment, education, disability, unit 5 percentage points
- agriculture, forestry etc.			0.968	0.933;1.004	0.964	0.933;0.997
- manufacturing, mining			1.006	0.981:1.031	0.987	0.962;1.012
- banking, finance			1.112	1.029;1.202	1.116	1.041;1.195
- with higher education			0.975	0.941;1.011	0.958	0.926;0.991
- disability recipients			1.035	0.971;1.098	0.999	0.943;1.057
-2LL	149032.9		149002.9		148994.4
Intercept Standard Deviation	0.07573	0.05889; 0.09740	0.04520	0.03352; 0.06093	0.03905	0.02858; 0.05336

Gini and mean region income based on post-tax household-adjusted income
^a Sample 1,621,202 individuals age 30-64 (1993), grouped in 92,752 cells and 35 regions. Offset ln person-years. ^b Unit 10,000 NOK (Norwegian Kroner).

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