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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Am J Med Genet B Neuropsychiatr Genet. 2017 Apr 26;174(4):413–426. doi: 10.1002/ajmg.b.32530

Table 2.

Effects of covariates in univariate linear (using GDS as a continuous variable) or logistic (using GDS as a binary variable) regression analysis of neurocognitive phenotypes.

GDS (continuous) GDS (binary)
Estimate z value Pr(>|z|) Estimate z value Pr(>|z|)
(Intercept) 1.49 10.504 < 2×10−16 2.84 4.261 2.03×10−5
Age 6.15×10−4 0.358 0.7201 −4.04×10−3 −0.474 0.6356
Nadir CD4 −1.65×10−4 −1.894 0.0585 −3.63×10−4 −0.833 0.4049
Plasma VL 7.56×10−3 0.528 0.5975 6.07×10−2 0.865 0.3869
ART usea −7.52×10−2 −1.636 0.1021 −0.585 −2.532 0.0114
WRAT −6.80×10−3 −6.361 3.01×10−10 −3.04×10−2 −5.728 1.02×10−8
PC1 −4.15 −7.967 4.28×10−15 −15.8 −5.913 3.35×10−9
PC2 0.298 0.627 0.5306 2.02 0.913 0.3614
comorbidityb −0.188 −6.24 6.38×10−10 −0.692 −4.85 1.23×10−6
a

categorical parameters (i.e., “on” versus “off” ART).

b

categorized as “minimal” or “not contributing” to NCI versus “contributing” to NCI.

Abbreviations: nadir CD4, nadir CD4+ T-cell count; plasma VL, log10(plasma HIV RNA copies/mL); ART use, on vs. off antiretroviral therapy at the time of neurocognitive assessment; WRAT, wide-range achievement test (estimate of reading comprehension and IQ); PC, principal component.