Table 2.
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.
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.
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.
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.
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.