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Table 2 Effect estimates for non-interacting variables from the logistic regression model

From: Increased demand for amphetamine treatment in rural Australia

  Odds Ratio 95% Wald CI p value
Indigenous
Yes 0.920 (0.808, 1.047) 0.207
No Ref
Living arrangement
Alone 0.923 (0.785, 1.085) 0.330
With spouse/partner and/or child(ren) 1.000 (0.850, 1.176) 0.999
Unknown/others 0.892 (0.628, 1.267) 0.522
With parents or friends or relatives Ref
Usual accommodation
Temporary accommodation or homeless 1.815 (1.473, 2.237) < 0.001
Unknown/others 0.683 (0.464, 1.006) 0.053
Owned or rented Ref
Source of referral
Legal 0.859 (0.734, 1.005) 0.057
Health care 0.777 (0.632, 0.955) 0.017
Other AOD 1.067 (0.879, 1.294) 0.512
Others 0.806 (0.652, 0.996) 0.046
Self Ref
Source of income
Through employment 0.357 (0.276, 0.463) < 0.001
No income 1.128 (0.801, 1.589) 0.490
Unknown 0.513 (0.372, 0.709) < 0.001
Not through employment Ref
  1. Residual deviance: 7073.1 on 8778 df. See also Additional file 2 for coefficient estimates for variables that interact with other variables. The p values were calculated based on z test