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. 2016 Jul 4;16:209. doi: 10.1186/s12888-016-0916-4

Table 7.

Binary logistic regression models for predicting higha anxiety

Unadjusted 95 % CI Adjusted 95 % CI
p-value OR Lower Upper p-value OR Lower Upper
Gender identity .15 1.95 0.79 4.86 .17 1.96 0.74 5.18
Age .01 0.51 0.31 0.84 .23 0.69 0.37 1.27
Education .49 0.89 0.65 1.23 .24 1.25 0.86 1.82
Income <.001 0.74 0.63 0.86 .001 0.73 0.61 0.88
Relationship .79 1.10 0.54 2.26 .25 1.57 0.73 3.38
Homelessness 1.00 1.00 0.52 1.92 .82 0.92 0.46 1.83
Children .06 0.51 0.25 1.03 .52 0.78 0.36 1.67
Sexual orientation .05 1.41 1.00 2.00 .23 1.24 0.87 1.75
Age .01 0.51 0.31 0.84 .29 0.72 0.39 1.33
Education .49 0.89 0.65 1.23 .25 1.24 0.86 1.80
Income <.001 0.74 0.63 0.86 .001 0.74 0.62 0.89
Relationship .79 1.10 0.54 2.26 .23 1.60 0.74 3.45
Children .06 0.51 0.25 1.03 .49 0.76 0.36 1.64

Note: aScore of 8 or more on the Hospital Anxiety and Depression Scale, Anxiety Subscale