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. Author manuscript; available in PMC: 2019 Mar 27.
Published in final edited form as: Sci Transl Med. 2017 Dec 13;9(420):eaam8012. doi: 10.1126/scitranslmed.aam8012

Table 5. Results of the multivariable analysis (Cox proportional hazard model) to examine the relationship between the risk of HIV acquisition for males and the three female PVL measures.

The PVL measures were derived from the HIV-positive females (models A1 to A3) and the HIV-positive and HIV-negative females (models B1 to B3) of a population-based survey. The full output is given in tables S4 and S6. Model 1 shows the unadjusted HRs for the PVL measures; model 2 shows these HRs after adjusting for age, sex, urban status, marital status, number of sexual partners in the last year, and household wealth; model 3 shows these HRs after adjusting for the model 2 covariates as well as HIV prevalence.

HIV acquisition risk for males Geometric mean viral load* Prevalence detectable
viremia
Community transmission index
HR (95% CI) P HR (95% CI) P HR (95% CI) P
Population-based: HIV-positive females only
 Model A1: Unadjusted HR 1.000 (1.000–1.000) 0.176 0.985 (0.965–1.007) 0.174 0.977 (0.920–1.037) 0.439
 Model A2: Adjusted HR without HIV prevalence 1.000 (1.000–1.000) 0.989 0.997 (0.972–1.021) 0.782 1.010 (0.943–1.082) 0.773
 Model A3: Adjusted HR with HIV prevalence 1.000 (1.000–1.000) 0.985 0.997 (0.971–1.024) 0.809 1.008 (0.933–1.088) 0.845
Population-based: HIV-positive and HIV-negative females
 Model B1: Unadjusted HR 1.057 (1.030–1.084) <0.001 1.109 (1.052–1.170) <0.001 1.405 (1.174–1.683) <0.001
 Model B2: Adjusted HR without HIV prevalence 1.053 (1.009–1.099) 0.018 1.077 (1.004–1.155) 0.039 1.270 (1.020–1.581) 0.032
 Model B3: Adjusted HR with HIV prevalence 1.081 (1.009–1.158) 0.028 1.106 (1.001–1.221) 0.048 1.452 (1.057–1.997) 0.021
N 3,544 3,544 3,544
*

For a one unit increase in geometric mean viral load.

For a 1% increase in the prevalence of detectable viremia.

For a predicted one transmission event increase per 100 sexual contacts.