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Table 6 Binary logistic regression models for predicting high symptoms of depression

From: Mental health help seeking patterns and associations among Australian same sex attracted women, trans and gender diverse people: a survey-based study

   Unadjusted 95 % CI   Adjusted 95 % CI
  p-value OR Lower Upper p-value OR Lower Upper
Gender identity <.001 1.66 1.37 2.02 .02 1.30 1.05 1.61
Age <.001 0.49 0.42 0.58 .004 0.73 0.59 0.91
Education <.001 0.55 0.49 0.61 <.001 0.70 0.62 0.79
Income <.001 0.66 0.62 0.71 <.001 0.81 0.75 0.88
Relationship <.001 0.46 0.37 0.59 .01 0.66 0.51 0.85
Homelessness <.001 2.07 1.66 2.58 <.001 1.88 1.47 2.40
Children <.001 0.53 0.42 0.67 .31 0.86 0.64 1.15
Sexual orientation <.001 1.36 1.24 1.49 .01 1.14 1.03 1.26
Age <.001 0.49 0.42 0.58 .08 0.83 0.67 1.02
Education <.001 0.55 0.49 0.61 <.001 0.68 0.60 0.77
Income <.001 0.66 0.62 0.71 <.001 0.79 0.73 0.86
Relationship <.001 0.46 0.37 0.59 .001 0.66 0.51 0.85
Children <.001 0.53 0.42 0.67 .35 0.88 0.66 1.16
  1. Note: a Score of 10 or more on the Center for Epidemiologic Studies Short Depression