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. Author manuscript; available in PMC: 2014 Jan 29.
Published in final edited form as: Antivir Ther. 2012;17(1):91–100. doi: 10.3851/IMP1916

Table 4.

Univariate and multivariate linear regression analysis of the role of age, sex, BMI, geographic origin, and the CD4 counts or HIV-1 RNA levels in insulin resistance (HOMA-IR) in the HIV-infected patients included in the metabolic sub-study of the ANRS COPANA cohort. The multivariate analysis included either the CD4 count or the HIV viral load (see Methods).

Univariate Multivariate

Characteristics beta coefficient p value beta coefficient p value beta coefficient p value
Age* +0.34 0.003 +0.26 0.01 +0.34 0.001

Female sex +0.45 0.06 +0.04 0.88 +0.14 0.55

BMI** +0.07 0.002 +0.07 0.003 +0.05 0.02

Geographic origin +0.42 0.06 −0.12 0.59 +0.03 0.89

CD4 count (/mm3)
>500 Reference Reference
]350–500] +0.09 0.72 +0.07 0.76
]200–350] +0.11 0.71 +0.11 0.67
≤200 +1.11 0.0002 +0.90 0.001

HIV-RNA (log copies/mL)
≤3.70 Reference Reference
]3.70–4.35] −0.02 0.95 +0.41 0.11
]4.35–4.86] −0.21 0.48 +0.16 0.54
>4.86 −0.23 0.44 +0.18 0.48
*

per a 10-year increase;

**

per a 1-kg/m2 increase.

Females were compared to males, and patients of Sub-Saharan Africa origin to other patients.

HIV-RNA levels were categorized according to the 25th, 50th, and 75th percentiles.