Table 3.
County-level associations between diabetes counts from the CDC’s Diabetes Surveillance program and NSES and county characteristics
| Univariate models | Multivariable models | |||||
|---|---|---|---|---|---|---|
| Non-spatial NSES | Spatial NSES | |||||
| Variable | Estimate | 95% CI | Estimate | 95% CI | Estimate | 95% CI |
| Non-spatial NSES | ||||||
| Med vs. low | 1.12 | (1.11, 1.14) | 1.10 | (1.08, 1.11) | ||
| High vs. low | 1.19 | (1.17, 1.20) | 1.13 | (1.12, 1.15) | ||
| Spatial NSES | ||||||
| Med vs. low | 1.11 | (1.09, 1.13) | 1.09 | (1.07, 1.10) | ||
| High vs. low | 1.18 | (1.16, 1.19) | 1.12 | (1.10, 1.14) | ||
| Density of supermarkets (high vs. low) | 1.07 | (1.05,1.08) | 1.02 | (1.01, 1.04) | 1.02 | (1.00, 1.04) |
| Density of fast-food establishments (high vs. low) | 0.97 | (0.96, 0.99) | ||||
| Density of physical activity establishments (high vs. low) | 0.95 | (0.93, 0.96) | ||||
| Density of clinics (high vs. low) | 0.97 | (0.96, 0.99) | ||||
| Density of pharmacies (high vs. low) | 1.08 | (1.07, 1.10) | 1.05 | (1.04, 1.06) | 1.06 | (1.04, 1.07) |
| Index of rurality | 1.26 | (1.19, 1.33) | 1.14 | (1.08, 1.21) | 1.17 | (1.09, 1.25) |
| % Non-Hispanic Black | ||||||
| Med vs. low | 0.96 | (0.94, 0.97) | 0.97 | (0.96, 0.98) | 0.97 | (0.96, 0.99) |
| High vs. low | 1.06 | (1.04, 1.07) | 1.04 | (1.03, 1.06) | 1.05 | (1.03, 1.07) |