Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

Table 2 Binary logistic regression models on fair/poor self-rated health

	Model I		Model II		Model III		Model IV		Model V
	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI
Race
Aboriginal	2.562***	[2.048 .. 3.206]	----		----		----		1.707***	[1.364 .. 2.136]
Asian	1.426**	[1.131 .. 1.798]	----		----		----		1.392**	[1.093 .. 1.772]
Black	1.186	[0.803 .. 1.753]	----		----		----		1.008	[0.670 .. 1.517]
South Asian	1.313	[0.997 .. 1.729]	----		----		----		1.337*	[1.010 .. 1.771]
other	1.570***	[1.313 .. 1.871]	----		----		----		1.490***	[1.239 .. 1.792]
White	1.000		----		----		----		1.000
Gender (female)	----		1.177***	[1.108 .. 1.251]	----		----		1.051	[0.986 .. 1.120]
Educational attainment
less than secondary	----		----		2.931***	[2.312 .. 3.713]	----		3.018***	[2.386 .. 3.817]
secondary graduate	----		----		2.033***	[1.606 .. 2.576]	----		2.090***	[1.655 .. 2.640]
cc/ts/some university	----		----		1.810***	[1.430 .. 2.282]	----		1.872***	[1.485 .. 2.360]
bachelor degree	----		----		1.192	[0.923 .. 1.530]	----		1.187	[0.923 .. 1.525]
postgraduate degree	----		----		1.000		----		1.000
Household income	----		----		0.458***	[0.430 .. 0.487]	----		0.473***	[0.444 .. 0.504]
Sexual orientation
homosexual	----		----		----		1.172	[0.858 .. 1.601]	1.239	[0.903 .. 1.700]
bisexual	----		----		----		1.955**	[1.293 .. 2.954]	1.534	[0.997 .. 2.361]
heterosexual	----		----		----		1.000		1.000
Nagelkerke R ²	0.088		0.084		0.141		0.084		0.144

Age controlled in all models; N = 90,310 for all models; *p < .05, **p < .01, ***p < .001 in two-tailed tests of significance.

ISSN: 1475-9276