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Table 2 Results of logistic regression analysis of access to housing subsidies and supportive housing

From: Access to housing subsidies, housing status, drug use and HIV risk among low-income U.S. urban residents

  Access to housing subsidy
(n = 346)b
Access to supportive housing
(n = 337)c
Predictor a Odds Ratio 95% Wald Confidence Limits Wald Chi-Square d Pr > ChiSq Odds Ratio 95% Wald Confidence Limits Wald Chi-Square d Pr > ChiSq
Drug Use 0.94 0.55 - 1.60 0.06 .82 0.60 0.33 - 1.10 2.77 .096
Female 2.68 1.52 - 4.72 11.63 .0006 0.74 0.38 - 1.45 0.76 .38
Education 0.85 0.58 - 1.24 0.71 .40 1.16 0.75 - 1.78 0.44 .51
African-American 2.41 1.01 - 5.79 3.89 .049 1.98 0.71 - 5.55 1.69 .19
Latino 1.72 0.72 - 4.08 1.50 .22 1.60 0.56 - 4.56 0.78 .38
Monthly Income ($100s) 1.07 1.01 - 1.14 4.49 .034 1.03 0.96 - 1.11 0.64 .42
Told have HIV/AIDS by doctor 2.00 1.13 - 3.54 5.63 .018 5.15 2.75 - 9.66 26.13 <.0001
Mental Illness 1.34 0.79 - 2.27 1.21 .27 1.84 1.00 - 3.39 3.84 .049
Criminal Conviction 3.43 0.45 - 26.4 1.40 .24 0.21 0.01 - 3.58 1.16 .28
Time Convicted 0.76 0.44 - 1.31 0.99 .32 1.37 0.65 - 2.89 0.69 .41
  1. a Predictors: drug use, female, African-American, Latino, told have HIV/AIDS by doctor, mental illness and criminal conviction are coded Yes = 1 and No = 0; education is coded "Less than high school diploma" = 1, "High school diploma or GED" = 2 and "More than high school diploma" = 3; and time convicted is coded "No time served" = 0, "One to 6 days" = 1, "One week or more but less than a month" = 2, "One month or more but less than one year" = 3 and "One year or longer" = 4).
  2. b Access to housing subsidy (coded yes, n = 92; no, n = 254). Hosmer and Lemeshow Goodness-of-Fit Test Chi-Square = 4.37, df = 8. p = .82.
  3. c Access to supportive housing (coded yes, n = 67; no, n = 270). Hosmer and Lemeshow Goodness-of-Fit Test Chi-Square = 7.01, df = 8. p = .53.
  4. d PROC Logistic (SAS v9.2, SAS Institute)--Logistic regression--was used to fit logistic regression models to data.