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Table 5 Results of multiple logistic regression analysis of sexual risk behavior in the last 30 days

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

  Any sex without a condom (117 of 391)
Predictor a Odds Ratio (95%CI) b, c t Significance
Female 1.08 (.65 - 1.80) 0.31 .75
Black 1.19 (.60 - 2.36) 0.49 .62
Latino 1.05 (.54 - 2.04) 0.15 .88
Welfare benefits income ($100s) .93 (.86 - 1.02) -1.58 .11
Employment income ($100s) 1.00 (.93 - 1.07) -0.02 .98
Told have HIV/AIDS by doctor .28 (.14 - 0.59) -3.38 .001
Housing status    .002
   Live with sexual partner or friend [ref. Live on street, in car, single room] 2.72 (1.31 - 5.64) 2.68 .007
   Live with family or in own house/apartment [ref. Live on street, in car, single room] 1.58 (.82 - 3.06) 1.38 .17
  1. a All predictors achieved a p-value < .10 in univariate regression models for one or more of the outcomes. Number of cases with complete data used in multivariate analysis equals 391.
  2. b An odds ratio greater than 1 indicates that the event is more likely to occur among those having the predictor trait; an odds ratio less than 1 indicates that the event is less likely to occur among those having the predictor trait.
  3. c PROC Logistic (SAS Institute)--Logistic regression model--was used to fit multiple regression model to data.