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. Author manuscript; available in PMC: 2024 Jul 1.
Published in final edited form as: AIDS. 2023 Apr 5;37(8):1285–1296. doi: 10.1097/QAD.0000000000003565

Table 2.

Association of Selected Socio-economic Status Indicators with Durable Viral Suppression, Howard Brown Health, 2012-2020

Odds Ratio (95% Confidence Interval)
Variable Complete case Imputed Dataset
Poverty (ref: Above 200% FPL)1
   • Between 101 to 200% FPL 0.58 (0.41 - 0.80)* 0.56 (0.41 - 0.75)*
   • 100% FPL and below 0.36 (0.28 - 0.46)* 0.37 (0.29 - 0.47)*
Housing status (ref: Has housing)
   • Unhoused 0.39 (0.29 - 0.53)* 0.41 (0.31 - 0.55)*
Insurance (ref: Private insurance)
   • Government insurance 0.38 (0.3 - 0.49)* 0.39 (0.31 - 0.50)*
   • Uninsured 0.38 (0.29 - 0.50)* 0.40 (0.31 - 0.51)*
Mental Health (ref: No disorder)4
   • With disorder 0.86 (0.71 - 1.04) 0.86 (0.72 - 1.03)
Substance Use disorder (ref: No disorder) 4
   • With disorder 0.56 (0.46 - 0.68)* 0.58 (0.49 - 0.70)*

Notes: FPL – federal poverty line

* -

confidence interval does NOT cross null (1.0). Odds ratio were calculated using multivariable regression. Each socio-economic variable has a separate model.

1

Poverty models adjust for age, year of first viral load, race & ethnicity, sexual orientation, gender identity, poverty status. Housing and insurance are mediators, thus, were exclude from the model.

2

Housing model adjusts for variables in poverty model and housing status. Poverty is a confounder, but insurance is a mediator, so insurance is excluded from the model.

3

Insurance model adjusts for variables in poverty model as well as housing, poverty, and insurance status. Poverty and housing status are confounders, so they were included.

4

Mental health and substance use disorders use the same model which adjusts for age, year of first viral load, race & ethnicity, sexual orientation, gender identity, diabetes or hypertension, mental health disorder, substance use disorder, and poverty status. Insurance and housing were mediators of poverty so were excluded.