Table 2.

Univariate logistic regression in the rural and urban areas.

	RURAL CAD			URBAN CAD
Risk factor	Odds ratio	Confidence interval	P value	Odds ratio	Confidence interval	P value
Age	3.38	1.14–10.05	.028	7.04	1.67–29.63	.008
Sex	3.57	1.52–8.38	.003	3.05	1.41–6.59	.005
Tobacco use	2.14	0.91–5.04	.081	2.42	1.21–4.87	.013
Hypertension	3.41	1.45–8.00	.005	2.01	1.01–4.00	.046
Diabetes	1.95	0.83–4.59	.125	2.49	1.26–4.93	.009
Dyslipidemia	2.38	1.01–5.60	.048	4.26	2.07–8.76	<.001
Periodontal disease	3.08	1.04–9.14	.043	1.26	0.64–2.48	.511
Sedentary lifestyle	3.40	1.38–8.38	.008	0.84	0.41–1.71	.063
Education	1.21	0.50–2.89	.671	1.07	0.43–2.65	.881
BMI	0.86	0.37–2.02	.731	0.95	0.49–1.85	.885
Socio-economic status (BPL)	0.67	0.27–1.64	.379	1.60	0.36–7.19	.538

Factors that are significant at the level of P ≤ .10 are in bold.

BMI= body mass index, BPL = below poverty line, CAD = coronary artery disease.