Table 2.

Cross-country differences in associations between socioeconomic factors and disability among patients with heart disease

	95% CI for Odds Ratio
	Odds Ratio	Lower	Upper	P value
China
Age	1.096	1.086	1.105	< 0.001
Female gender	1.133	0.908	1.414	0.270
Education	0.954	0.836	1.088	0.481
Income	1.001	0.967	1.036	0.957
Costa Rica
Age	1.089	1.060	1.118	< 0.001
Female gender	1.226	0.760	1.978	0.403
Education	0.815	0.544	1.222	0.322
Income	0.881	0.788	0.984	0.025
Puerto Rico
Age	1.023	1.000	1.046	0.050
Female gender	0.971	0.677	1.392	0.872
Education	0.971	0.778	1.214	0.798
Income	0.934	0.890	0.980	0.006
Mexico
Age	1.055	1.030	1.081	< 0.001
Female gender	1.755	1.153	2.672	0.009
Education	0.729	0.555	0.957	0.023
Income	1.028	0.973	1.086	0.323
Barbados
Age	1.116	1.064	1.172	< 0.001
Female gender	1.126	0.475	2.668	0.788
Education	0.688	0.371	1.276	0.235
Income	0.905	0.783	1.046	0.178
Brazil
Age	1.056	1.024	1.089	< 0.001
Female Gender	1.050	0.634	1.737	0.850
Education	0.843	0.599	1.186	0.326
Income	0.963	0.916	1.013	0.141
Chile
Age	1.061	1.014	1.110	0.011
Female gender	1.678	0.733	3.839	0.220
Education	0.719	0.497	1.040	0.080
Income	0.809	0.638	1.027	0.082
Cuba
Age	1.070	1.035	1.106	< 0.001
Female gender	1.159	0.544	2.470	0.702
Education	0.849	0.578	1.248	0.406
Income	0.953	0.858	1.058	0.367
Uruguay
Age	0.995	0.934	1.060	0.878
Female gender	2.165	0.802	5.846	0.127
Education	0.824	0.492	1.381	0.462
Income	0.999	0.914	1.092	0.979
India
Age	1.045	1.021	1.069	< 0.001
Female gender	1.393	0.871	2.228	0.167
Education	0.769	0.602	0.981	0.035
Income	0.930	0.846	1.021	0.127
Ghana
Age	1.023	0.980	1.067	0.301
Female gender	1.150	0.486	2.718	0.750
Education	0.742	0.502	1.095	0.133
Income	0.981	0.911	1.056	0.603
South Africa
Age	1.009	0.981	1.037	0.545
Female gender	1.698	0.947	3.045	0.076
Education	1.002	0.840	1.195	0.986
Income	0.997	0.970	1.025	0.838