Table 4.
Variable | Bivariates |
Multivariable model |
||
---|---|---|---|---|
Relative Risk | P-value | Adjusted Relative Risk | P-value | |
UHF-level variables | ||||
% residents who were food distressed (ref = high) | ||||
Low <1.00 | 1.48 | 0.02 | 1.70 | 0.01 |
Medium 1.00-<5.00 | 1.35 | 0.07 | 1.36 | 0.07 |
% residents who were non-Hispanic Black (ref = high) | ||||
Low <5.00 | 1.36 | 0.002 | 1.05 | 0.65 |
Medium 5.00-<30.00 | 1.07 | 0.26 | 1.04 | 0.50 |
% residents who were 21–54 years old | 1.00 | 0.83 | ||
Alcohol outlet density | 1.19 | 0.11 | 0.80 | 0.17 |
Residential vacancy | 1.00 | 0.20 | 1.00 | 0.37 |
Stops per resident (ref = high) | ||||
Low <0.04 | 0.99 | 0.92 | ||
Medium 0.04-<0.20 | 1.03 | 0.74 | ||
Stops without arrest per resident (ref = high) | ||||
Low <0.06 | 1.08 | 0.40 | 0.95 | 0.57 |
Medium 0.06-<0.22 | 0.98 | 0.81 | 0.97 | 0.69 |
UHF stabilityⱡ | 1.00 | 0.80 | ||
UHF affluence₸ | 1.01 | 0.50 | ||
Neighborhood disadvantage† | 0.98 | 0.28 | 0.98 | 0.23 |
Poor access to healthcare | 0.97 | 0.96 | 0.96 | 0.94 |
Individual-level variables | ||||
Male (ref = Female) | 0.84 | 0.008 | 0.82 | 0.002 |
Race/ethnicity (ref = Black) | ||||
Hispanic | 1.23 | 0.0001 | 1.17 | 0.004 |
White | 1.32 | 0.005 | 1.26 | 0.02 |
Foreign born | 1.37 | <.0001 | 1.24 | <.0001 |
History of homelessness | 0.59 | 0.01 | 0.62 | 0.02 |
Age at HIV diagnosis (ref = 40–49) | ||||
13–19 | 0.61 | 0.003 | 0.61 | 0.004 |
20–29 | 0.91 | 0.19 | 0.87 | 0.06 |
30–39 | 1.06 | 0.40 | 1.04 | 0.55 |
50–59 | 1.19 | 0.01 | 1.17 | 0.02 |
60+ | 1.12 | 0.22 | 1.04 | 0.66 |
Year of HIV diagnosis (ref = 2009) | ||||
2010 | 1.18 | 0.04 | 1.18 | 0.04 |
2011 | 1.39 | <.0001 | 1.39 | <.0001 |
2012 | 1.40 | <.0001 | 1.40 | <.0001 |
2013 | 1.71 | <.0001 | 1.61 | <.0001 |
Higher values mean more stability.
Higher values mean mote affluence.
Higher values mean more disadvantage.