Table 3.

Logistic Regression Analysis of the Association of Diabetes on Glaucoma

	Self-identified Glaucoma (no glaucoma n=9068, glaucoma n=2548)				Self-identified Glaucoma and Ophthalmic Beta-Blocker Medications (no glaucoma n=8344, glaucoma n=527)
Modela (n=11616)	ORb	95% CI		p value	ORb	95% CI		p value
1. DM	1.51	1.37	1.67	<.0001c	1.17	0.96	1.43	0.13
2. DM, AFR	1.51	1.36	1.66	<.0001c	1.17	0.96	1.43	0.13
3. DM, NSES	1.49	1.35	1.65	<.0001c	1.19	0.97	1.45	0.10
4. DM, AFR, NSES	1.49	1.35	1.64	<.0001c	1.18	0.97	1.45	0.10
5. DM, AFR, NSES, HTN	1.50	1.36	1.66	<.0001c	1.18	0.96	1.45	0.11
6. DM, AFR, NSES, HTN, BMI	1.52	1.37	1.68	<.0001c	1.20	0.98	1.47	0.08

^aModels included the variables listed and all models adjusted for entry age.

The models included neighborhood socioeconomic factors (NSES), sub-Saharan African admixture (AFR), diabetes (DM), systolic hypertension (HTN), and body mass index (BMI).

^bThe odds ratio (OR) and 95% confidence intervals (CI) are shown.

^cStatistically significant (p < 0.0001)