Table 3.
Community Area characteristic as predictors of behavioral and HIV outcomes in multilevel random logistic regression models. Random intercepts models with each Community Area characteristic separately, unadjusted and with adjustment for individual covariates (listed below).
| Dichotomized measures | CD4<500 | Non-Suppressed Viral load (>=200) | ||
|---|---|---|---|---|
| OR [95% CI] p-value unadjusted |
OR [95% CI] p-value adjusted* |
OR [95% CI] p-value unadjusted |
OR [95% CI] p-value adjusted* |
|
| Poor quality built environment | 2.22 (1.13, 4.36) p=.021 |
2.61 (1.12, 6.12) p=.028 |
1.43 (0.68,2.98) p=.342 |
1.06 (0.39,2.90) P=.910 |
| Food desert | 1.83 (0.94, 3.55) p=.076 |
1.60 (0.70, 3.67) p=.264 |
1.74 (0.84,3.62) p=.138 |
0.99 (0.37,2.71) p=.992 |
| Unsafe environment | 1.56 (0.77, 3.16) p=.219 |
1.51 (0.64, 3.55) p=.340 |
2.13 (0.94,4.81) p=.069 |
1.45 (0.51,4.16) p=.484 |
| Low social cohesion | 1.69 (0.85, 3.36) p=.135 |
1.39 (0.62, 3.13) p=.417 |
1.85 (0.86, 3.98) p=.116 |
1.08 (0.41,2.87) p=.874 |
| Concentrated poverty >=25 % below FPL | 1.85 (0.98, 3.52) p=.059 |
2.52 (0.95, 6.68) p=.063 |
2.58 (1.27,5.25) p=.010 |
2.19 (0.71,6.74) p=.169 |
| Racial segregation >=50 % Black non-Hispanic | 2.32 (1.26,4.26) p=.007 |
2.45 (1.04, 5.81) p=.042 |
2.70 (1.28,5.70) p=.009 |
1.08 (0.41,2,87) p=.869 |
*
Adjusting for: white, Hispanic, age, stable housing, high school or more education, income<$18K, IDU ever, Chicago (versus suburb), and cART non-use or non-adherence.