Table 3.

Disparities in Durable Viral Suppression according to selected demographic categories, Howard Brown Health, 2012-2020

A. Non-intersectional analysis (Odds Ratio, 95% Confidence interval)
Category	Complete Case			Imputed Data
Category	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3
A. Race & ethnicity (ref: White, non-Hispanic)
Hispanic	0.97 (0.75 - 1.25)	0.99 (0.77 - 1.29)	0.99 (0.76 - 1.29)	0.91 (0.71 - 1.15)	0.91 (0.72 - 1.17)	0.92 (0.72 - 1.18)
Asian/other, non-Hispanic¹	1.22 (0.7 - 2.3)	1.24 (0.71 - 2.35)	1.15 (0.65 - 2.2)	0.92 (0.62 - 1.42)	0.93 (0.62 - 1.43)	0.93 (0.62 - 1.45)
Black, non-Hispanic	0.6 (0.48 – 0.73)^*	0.63 (0.51 – 0.79)^*	0.73 (0.58 – 0.93)^*	0.57 (0.46 – 0.69)^*	0.58 (0.47 – 0.71)^*	0.68 (0.54 – 0.84)^*
B. Gender identity (ref: Cisgender man)
Cisgender woman	0.76 (0.51 – 1.16)	0.96 (0.59 – 1.6)	1.05 (0.64 – 1.76)	0.87 (0.61 – 1.3)	1.04 (0.66 – 1.68)	1.16 (0.73 – 1.86)
Transgender woman	0.66 (0.48 - 0.92)	0.76 (0.54 - 1.09)	1.09 (0.76 - 1.57)	0.72 (0.54 - 0.98)	0.82 (0.59 - 1.14)	1.12 (0.8 - 1.57)
Transgender man, genderqueer, or else²	5.57 (1.2 - 99)^*	5.3 (1.12 - 95)^*	6.34 (1.31 - 114)^*	3.58 (1.1 - 22)^*	3.5 (1.06 - 22)^*	3.74 - 23)^*
C. Sexual orientation (ref: Heterosexual/Straight)
Bisexual	0.9 (0.61 – 1.32)	0.79 (0.52 – 1.21)	0.84 (0.55 – 1.3)	0.85 (0.59 – 1.23)	0.76 (0.51 – 1.14)	0.83 (0.56 – 1.24)
Gay or Lesbian	1.37 (1.03 – 1.81)^*	1.07 (0.75 – 1.52)	0.96 (0.67 – 1.36)	1.2 (0.93 – 1.54)	0.95 (0.68 – 1.31)	0.86 (0.62 – 1.18)
Queer or else³	1.82 (0.99 – 3.56)	1.49 (0.79 – 2.98)	1.38 (0.73 – 2.8)	1.57 (0.9 – 2.93)	1.3 (0.73 – 2.48)	1.21 (0.67 – 2.33)

B. Intersectional analysis with Latent class
Category	Complete case		Imputed Data
Category	Model 4	Model 5	Model 4	Model 5
Reference: A (mixed r/e, mixed SES, gay, cis men)
B (majority Black, low SES, cis, het men/women)	0.37 (0.26 - 0.52)^*	0.45 (0.33 - 0.63)^*	0.46 (0.33 - 0.64)^*	0.45 (0.33 - 0.63)^*
C (mixed r/e, low SES, bi/gay, cis men)	0.31 (0.25 - 0.38)^*	0.41 (0.34 - 0.49)^*	0.38 (0.32 - 0.46)^*	0.41 (0.34 - 0.49)^*
D (mixed r/e, low SES, mixed sexual orientation, trans women)	0.32 (0.23 - 0.46)^*	0.43 (0.31 - 0.6)^*	0.40 (0.29 - 0.57)^*	0.43 (0.31 - 0.6)^*

Note:

^{* -}

confidence interval does NOT cross null (1.0). r/e – race & ethnicity, SES – socio-economic status, het – heterosexual, TG – transgender.DM – diabetes mellitus, HTN – hypertension, LCA – latent class analysis, r&e – race and ethnicity, SES – socio-economic status, SO – sexual orientation, TG- transgender.

^{1 -}

Other race and ethnicity variables include Asian, Pacific Islander, Multiracial, and Unspecified.

^{2 –}

Includes genderqueer, gender non-conforming or replied “something else” when asked about gender. Pooled with trans man due to low numbers.

^{3 –}

Other sexual orientations include Queer, Questioning, and Something else responses

⁴

Each model adjusts for slightly different variables. Models 1, 2, and 4 adjusts only for confounders with model 2 assuming demographic variables as confounders of each other. Model 3 and 5 adjusts for mediators of demographic variables. Specific variables are specified as follows:

Model 1: adjusts only for age and year of first viral load. Three separate models, one for each demographic variable.

Model 2: One model that adjusts for age, year of first viral load, and demographic categories.

Model 3: One model that adjusts for variables in model 2 as well as mediator variables including housing, poverty, insurance, diabetes or hypertension status, mental health disorder, and substance use disorder.

Model 4: Similar to model 1 in that it adjusts for age and year of first viral load

Model 5: Similar to model 3 in that it adjusts for age and year of first viral load as well as mediators which include hypertension status, mental health disorder, and substance use disorder.