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. 2020 May 28;11:100608. doi: 10.1016/j.ssmph.2020.100608

Table 2.

Logistic regression models of healthcare avoidance during the past year due to anticipated discrimination.

Variables
Model 1
Model 2
Model 3
Categories OR 95% CI AOR 95% CI AOR 95% CI
Gender Identity/Expression
 Transgender women 1.00 1.00 1.00
 Transgender men 1.25*** 1.15, 1.35 1.26*** 1.16, 1.37 1.32*** 1.21, 1.45
 Non-binary/Genderqueer 0.81*** 0.73, 0.90 0.72*** 0.65, 0.80 0.71*** 0.63, 0.80
 Cross-dressers 0.54*** 0.45, 0.66 0.57*** 0.47, 0.69 0.66*** 0.53, 0.82



Health Status
 Excellent 1.00 1.00
 Very Good 1.30*** 1.13, 1.49 1.57*** 1.34, 1.84
 Good 2.34*** 2.04, 2.67 2.83*** 2.43, 3.29
 Fair/Poor 3.74*** 3.25, 4.31 4.26*** 3.63, 5.01



Disability 1.35*** 1.25, 1.45 1.32*** 1.21, 1.43



Race
 Non-Hispanic White 1.00
 Hispanic/Latino/a 1.49*** 1.34, 1.65
 Black/African American 1.11 1.00, 1.24
 Biracial/Multiracial 1.32* 1.03, 1.69
 Others 1.49*** 1.24, 1.78



Lives in Poverty 1.52*** 1.40, 1.65



Has Health Insurance 0.87** 0.79, 0.96



Visual Conformity
 Conformers 1.00
 Somewhat conforming 1.21*** 1.11, 1.31
 Non-conformers 1.48*** 1.33, 1.66



Disclosure of Trans Identity
 None to Some 1.00
 Most 1.07 0.98, 1.17
 All 0.77*** 0.68, 0.87



Model Results
 Nagelkerke R2 0.9% 7.9% 11.7%

Notes. AOR, adjusted odds ratio; CI, confidence interval; OR, odds ratio. An odds ratio of 1.00 is the baseline. Participants with valid data on all variables were included (91.4%). Asterisk(s) denote significant results (*p < .05; **p < .01; ***p < .001).