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Table 2 Unadjusted and adjusted associations between predisposing, enabling and health need variables and perceived need for drug treatment among young, substance-using women in Cape Town, South Africa

From: Perceived need for substance use treatment among young women from disadvantaged communities in Cape Town, South Africa

Covariates Simple logistic regression Multiple logistic regression
  ORa 95% CIb p AORc 95% CI p
Predisposing variables      
Age 0.97 0.74-1.88 0.108 0.98 0.94-1.01 0.188
Ethnicity (Black African) 1.21 0.90-1.62 0.212 1.54 1.05-1.65 0.027
Education (Not completed high school) 1.18 0.74-1.88 0.501 0.93 0.56-1.53 0.760
Enabling variables       
Relationship status (Reference married)       
Boyfriend 1.24 0.86-1.78 0.249 1.08 0.73-1.60 0.706
Single 1.22 0.57-2.62 0.607 1.10 0.50-2.42 0.819
Income in the last 30 days 0.96 0.93-0.99 0.015 0.96 0.93-0.99 0.041
Family with drug problems (No) 1.40 1.04-1.88 0.027 1.45 1.05-2.04 0.025
Prior treatment (No) 0.81 0.46-1.42 0.480 0.78 0.42-1.43 0.415
Awareness of treatment services (Yes) 1.27 0.95-1.71 0.109 1.19 0.86-1.65 0.301
Health need variables       
CES-D 1.07 1.01-1.13 0.034 1.01 0.99-1.03 0.159
TCU anxiety 1.20 1.06-1.36 0.003 1.22 1.05-1.45 0.017
Physical health status (Good) 0.66 0.42-1.03 0.069 0.75 0.46-1.22 0.245
  1. aOR = odds ratio.
  2. b95% CI = 95% confidence intervals.
  3. cAOR = adjusted odds ratio. All predisposing, enabling and health need variables were entered into the multiple logistic regression model.