Table 6. Multiple Logistic Regression Analyses for Interleukin 6 (IL6) rs35610689 and Nuclear Factor Kappa Beta 2 Subunit (NFKB2) rs7897947 to Predict Higher Sleep Disturbance Class.
| Growth Mixture ModelClass Comparison | Predictor | Odds Ratio | Standard Error | 95% CI | Z | p-value |
| Lower to Higher SleepDisturbance (n = 235) | IL6 genotype | 0.22 | 0.120 | 0.076, 0.642 | −2.78 | .006 |
| Functional status | 0.58 | 0.092 | 0.422, 0.790 | −3.44 | .001 | |
| Overall model fit: χ2 = 23.06, p = .0033 R2 = 0.1343 | ||||||
| Lower to Higher SleepDisturbance (n = 235) | NFKB2 genotype | 0.26 | 0.139 | 0.089, 0.742 | −2.51 | .012 |
| Functional status | 0.59 | 0.094 | 0.436, 0.809 | −3.31 | .001 | |
| Overall model fit: χ2 = 21.22, p = .0066 R2 = 0.1236 | ||||||
For each model, the first three principle components identified from the analysis of ancestry informative markers as well as self-report race/ethnicity (White, Asian/Pacific Islander, Black, Hispanic/Mixed background/Other) were retained in all models to adjust for potential confounding due to race or ethnicity (data not shown). Predictors evaluated in the model included genotype (IL6 rs35610689: AA versus AG+GG; NFKB2 rs7897947: TT versus TG + GG), age (5 year increments), and functional status (KPS score, 10 point increments). Patient versus family caregiver (FC) status could not be included in the regression analyses because no FCs were included in the higher sleep disturbance class.