Table 5.
Morbidity and the neighborhood alcohol environment—potential modification by race and ethnicity
| Adjusted odds ratio (95% CI) | ||||||
|---|---|---|---|---|---|---|
| Motor vehicle | Experienced | |||||
| STI | accident | Injury | Liver problems | Hypertension | violence | |
| Impact of off-premise outlet density per square mile | ||||||
| Among Whites (n = 1330) | 1.04 (1.01, 1.08)† | 0.99 (0.96, 1.01) | 1.01 (0.99, 1.04) | 1.01 (0.99, 1.04) | 1.00 (0.99, 1.02) | 1.05 (1.03, 1.07)‡ |
| Among Blacks (n = 731) | 1.02 (0.99, 1.05) | 0.99 (0.97, 1.02) | 1.12 (1.02, 1.13)† | 1.02 (1.01, 1.03)† | 1.00 (0.99, 1.01) | 1.01 (0.99, 1.02) |
| Among other racial groups (n = 820) | 0.95 (0.85, 1.05) | 0.97 (0.94, 1.01)§ | 1.02 (1.00, 1.05) | 1.02 (1.00, 1.05) | 0.99 (0.97, 1.01) | 1.02 (1.00, 1.04)† |
| Among Hispanics (n = 657) | 1.03 (1.01, 1.05)† | 0.97 (0.93, 1.00)§ | 1.00 (0.97, 1.02) | 1.01 (0.99, 1.04) | 1.01 (0.99, 1.03) | 1.01 (0.89, 1.03) |
| Among non-Hispanics (n = 2049) | 0.99 (0.93, 1.06) | 0.99 (0.98, 1.01) | 1.01 (1.00, 1.02) | 1.02 (1.01, 1.03)† | 1.00 (0.99, 1.01) | 1.03 (1.01, 1.04)‡ |
| Impact of individual off-premise outlet density in 1.0 mile radius from home | ||||||
| Among Whites (n = 1330) | 1.65 (1.05, 2.90)† | 0.86 (0.67, 1.11) | 1.26 (0.96, 1.64)§ | 1.07 (0.87, 1.32) | 0.99 (0.83, 1.18) | 1.63 (1.34, 1.99)‡ |
| Among Blacks (n = 731) | 1.25 (0.74, 2.13) | 0.84 (0.61, 1.14) | 1.43 (1.12, 1.83)‡ | 1.12 (0.93, 1.36) | 0.87 (0.73, 1.04) | 1.02 (0.83, 1.25) |
| Among other racial groups (n = 820) | 1.41 (0.64, 3.14) | 0.73 (0.50, 1.06)§ | 1.29 (0.85, 1.96) | 0.95 (0.70, 1.28) | 0.84 (0.65, 1.08) | 1.50 (1.20, 1.86)‡ |
| Among Hispanics (n = 657) | 2.08 (1.03, 4.23)‡ | 0.51 (0.33, 0.77)‡ | 1.09 (0.67, 1.21) | 1.19 (0.83, 1.70) | 1.12 (0.88, 1.41) | 1.28 (1.03, 1.59)‡ |
| Among non-Hispanics (n = 2049) | 1.24 (0.80, 1.94) | 0.95 (0.78, 1.14) | 1.16 (1.01, 1.35)† | 1.30 (1.08, 1.57)‡ | 0.93 (0.81, 1.06) | 1.40 (1.18, 1.66)‡ |
P-value: ‡ < 0.01; † < 0.05; § < 0.10 based on adjusted multi-level logistic regression models, adjusted for study location, age, sex, race, ethnicity, education and income.