Table 3

Hierarchical multivariable logistic regression analyses examining factors associated with COVID-19 testing among transgender and non-binary adults in the COVID-19 Disparities Survey II (n=536)

Block 1: DemographicsBlock 2: Demographics, Mental Health and Substance UseBlock 3: Demographics, Mental Health and Substance Use, and Gender AffirmationBlock 4: Demographics, Mental Health and Substance Use, Gender Affirmation, and Economic ChallengesBlock 5: Demographics, Mental Health and Substance Use, Gender Affirmation, Economic Challenges, and Healthcare Experience
MultivariableMultivariableMultivariableMultivariableMultivariable
aOR95% CIP valueaOR95% CIP valueaOR95% CIP valueaOR95% CIP valueaOR95% CIP value
Demographics
Young adult
 Yes (18–29)1.060.97 to 1.160.1611.050.96 to 1.160.2620.990.89 to 1.090.8531.010.91 to 1.120.841.020.91 to 1.140.699
 No (30+)11111
Gender spectrum
 Non-binary11111
 Trans feminine0.940.84 to 1.040.2610.950.84 to 1.060.3780.950.84 to 1.070.4460.940.83 to 1.070.4070.920.80 to 1.070.3
 Trans masculine0.990.83 to 1.170.9210.990.83 to 1.190.9990.990.82 to 1.200.9480.970.79 to 1.180.770.970.79 to 1.200.819
Level of education
 Less than high school11111
 High school, or trade1.060.84 to 1.330.6021.10.85 to 1.420.4351.170.87 to 1.560.2821.260.93 to 1.700.1261.250.91 to 1.700.155
 Some college or more1.080.86 to 1.340.4871.130.88 to 1.450.3151.190.90 to 1.580.211.30.97 to 1.750.0711.290.96 to 1.740.083
Socioeconomic income
 Lower11111
 Middle1.060.94 to 1.200.3181.080.95 to 1.240.2261.140.98 to 1.320.0831.170.99 to 1.380.0521.110.93 to 1.320.239
 Upper1.321.09 to 1.600.0031.291.05 to 1.590.0131.341.08 to 1.670.0071.41.11 to 1.770.0041.381.08 to 1.780.01
Region
 South-East Asia11111
 Americas1.050.91 to 1.210.4811.10.94 to 1.290.1941.080.92 to 1.280.3141.110.94 to 1.320.1881.120.93 to 1.340.208
 Eastern Mediterranean1.080.86 to 1.340.4941.140.89 to 1.460.2821.090.84 to 1.410.4741.120.87 to 1.450.3481.190.89 to 1.580.22
 Africa1.681.09 to 2.580.0180.860.33 to 2.180.7530.810.32 to 2.030.6550.760.30 to 1.940.5740.810.31 to 2.130.682
 Europe1.131.01 to 1.270.0311.211.06 to 1.370.0031.21.05 to 1.380.0081.231.07 to 1.420.0031.181.01 to 1.370.029
 Western Pacific1.010.78 to 1.320.8851.020.77 to 1.340.871.040.79 to 1.370.7741.050.80 to 1.390.6811.040.79 to 1.380.749
Mental health and substance use
Depression
 Yes0.980.86 to 1.110.7870.980.84 to 1.130.80.950.81 to 1.100.5050.940.80 to 1.110.508
 No1111
Anxiety
 Yes1.070.94 to 1.220.2841.010.87 to 1.180.8021.010.87 to 1.180.8261.010.85 to 1.190.912
 No1111
Suicide ideation
 Often/all the time1.020.92 to 1.140.6031.060.94 to 1.180.3131.030.91 to 1.160.5730.970.85 to 1.100.664
 Never1111
Active alcohol use disorder
 Yes1.11.01 to 1.210.0461.121.01 to 1.250.0261.141.02 to 1.270.0161.141.02 to 1.290.021
 No1111
Tobacco use
 Yes0.870.79 to 0.950.0050.850.77 to 0.950.0040.860.77 to 0.940.0040.850.76 to 0.950.007
 No1111
Gender affirmation
Hormone utilisation
 Yes1.141.04 to 1.240.0041.141.03 to 1.250.0071.10.99 to 1.230.0591.090.98 to 1.220.0881.050.93 to 1.180.37
 No, not applicable11111
Limited access to therapy or counselling
 Yes1.010.79 to 1.280.9321.010.78 to 1.280.9790.940.72 to 1.220.675
 No111
Limited access to surgery
 Yes1.311.03 to 1.670.0281.311.02 to 1.670.031.321.01 to 1.740.046
 No111
Limited access to medical materials
 Yes0.90.69 to 1.170.460.860.65 to 1.120.2790.860.65 to 1.150.328
 No111
Limited access to non-medical materials
 Yes1.120.91 to 1.390.2711.150.89 to 1.380.3411.060.83 to 1.350.616
 No111
Economic challenges
Had more than 20% reduction in income
 Yes1.151.04 to 1.290.0081.161.03 to 1.310.010
 No11
Had not been able to meet basic needs with current income
 Yes0.940.75 to 1.200.6650.960.74 to 1.250.805
 No11
Had cut or skipped meals due to financial strains
 Yes0.960.84 to 1.100.6120.940.82 to 1.090.453
 No11
Healthcare experience
Avoided healthcare services due to gender identity
 Yes1.030.89 to 1.190.651
 No1
Mistreated in health facility due to gender identity
 Yes1.151.10 to 1.340.042
 No1
  • Bold values are significant at p<0.05. Hierarchical multivariable regression analyses used backward stepwise procedure. Variables with a p value <0.20 in bivariate analyses were included in the model.

  • aOR, adjusted OR.