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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: AIDS Behav. 2018 Jun;22(6):1814–1825. doi: 10.1007/s10461-016-1657-6

Table 5.

Bivariate Regression Models Predicting HIV Treatment Outcomes by AIDS Conspiracy Subscales

Fixed Effects AIDS Genocidal Beliefs Medical Mistrust
IRR/OR (95% CI)a p-value IRR/OR (95% CI)a p-value
Number of visits to a physician for HIV treatment in past 6 monthsb 0.929 (0.79, 1.09) .356 0.937 (0.81, 1.08) .371
Currently on antiretroviral treatmentc 0.632 (0.31, 1.30) .210 1.117 (0.63, 1.98) .702
Had a detectable viral load at last doctor’s visitd 1.815 (0.83, 3.97) .134 3.082 (1.34, 7.12) .009

Notes:

a

Exponentiated regression coefficients and their 95% confidence intervals were Incidence Rate Ratios (IRR), computed from Poisson regressions modelling the number of doctor visits, and Odds Ratios (OR), computed from logistic regressions modelling the dichotomous antiretroviral treatment and viral load indicators.

b

The analysis was performed for 105 of 107 HIV seropositive men who reported the number of doctor visits.

c

The analysis was performed for all 107 HIV seropositive men.

d

The analysis was performed for 76 of 85 men who reported that they were currently on HAART. Nine participants, who indicated that they did not know or were not informed of their viral loads, were omitted from the analysis.