Table 4.
Logistic Regression Analysis of the Association of Neighborhood Socioeconomic Factors (NSES) on Glaucoma Status
| 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. NSES | 1.07 | 1.02 | 1.12 | 0.004c | 1.08 | 0.99 | 1.17 | 0.10 |
| 2. NSES, AFR | 1.06 | 1.01 | 1.11 | 0.011c | 1.08 | 0.99 | 1.18 | 0.08 |
| 3. NSES, DM | 1.05 | 1.01 | 1.10 | 0.028c | 1.08 | 0.99 | 1.18 | 0.07 |
| 4. NSES, AFR, DM | 1.04 | 1.00 | 1.10 | 0.055c | 1.09 | 1.00 | 1.19 | 0.06 |
| 5. NSES, AFR, DM, HTN | 1.04 | 1.00 | 1.10 | 0.052c | 1.09 | 1.00 | 1.19 | 0.06 |
| 6. NSES, AFR, DM, HTN, BMI | 1.05 | 1.00 | 1.10 | 0.041c | 1.09 | 0.99 | 1.19 | 0.08 |
a
Models 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).
b
The odds ratio (OR) and 95% confidence intervals (CI) are shown.
c
Statistically significant (p < 0.05)