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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.