Table 2.

Hierarchical Linear Regression Model Predicting Slope of Log HIV RNA Level and CD4 Cell Count Change

Log HIV RNA Level Changea
Step	Clinical Features	B	SE B	beta	P value
1	Intercept	2.30	0.08
	PHQ-9 score	0.04	0.01	0.18	< 0.001
2	Intercept	4.63	0.28
	PHQ-9 score	0.005	0.006	0.04	0.39
	Age	−0.004	0.003	−0.05	0.22
	Male sex	−0.13	0.09	−0.06	0.14
	African American	0.25	0.08	0.13	< 0.01
	cART	−2.29	0.23	−0.42	< 0.001
	VAS ≥ 95%	−0.35	0.09	−0.18	< 0.001
Current CD4 Cell Count Changeb
1	Intercept	493.46	17.34
	PHQ-9 score	−7.42	1.92	−0.16	< 0.001
2	Intercept	273.28	105.18
	PHQ-9 score	−5.21	2.33	−0.11	< 0.05
	Age	0.40	1.28	0.01	0.75
	Male sex	−89.12	31.17	−0.14	< 0.01
	African American	−81.26	30.93	−0.13	< 0.01
	cART	272.19	85.36	0.15	< 0.01
	VAS ≥ 95%	81.12	32.17	0.12	< 0.05

Log HIV RNA Level, log₁₀ HIV RNA Level; B, unstandardized coefficient; SE, standard error; beta, standardized coefficient; VAS, visual analogue scale for cART adherence.

^aFor final model, F_6,423 = 28.08, P < 0.001, R² = 0.27

^bFor final model, F_6,427 = 7.53, P < 0.001, R² = 0.083