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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