Table 3.
Linear Regression Analysis of MSAS Lack of Energy Composite Score (N=293)
Predictor | R | β (full model) |
P-value (full model) |
Δ in R2 |
---|---|---|---|---|
Step 1: Demographics | .088 | |||
Female | 0.015 | 0.113 | 0.109 | |
Black race | -0.260 | -0.117 | 0.043 | |
Female*Black race interaction | -0.146 | -0.148 | 0.058 | |
Age (years) | 0.014 | 0.039 | 0.393 | |
Step 2: Clinical Characteristics | 0.025 | |||
CD4+ T-cell count | -0.066 | -0.074 | 0.101 | |
On ARV therapy | 0.127 | 0.097 | 0.037 | |
BMI (kg/m2) | -0.074 | -0.011 | 0.821 | |
Step 3: Other Symptoms | 0.320 | |||
Sleep disturbance (GSDS) | 0.574 | 0.360 | <0.001 | |
Depressive symptoms (CES-D) | 0.481 | 0.159 | 0.014 | |
Anxiety (POMS) | 0.418 | 0.050 | 0.398 | |
Step 4: Fatigue | 0.016 | |||
Morning fatigue (LFS) | 0.466 | 0.138 | 0.035 | |
Evening fatigue (LFS) | 0.346 | 0.023 | 0.711 | |
| ||||
Full Model: F(12,280) = 19.0, P < 0.001 | 0.449 |
Demographic and clinical characteristics were forced into the model for face validity and did not need to meet the criterion that r≥ 0.20 for inclusion in the model.