. Author manuscript; available in PMC: 2017 Jun 27.

Published in final edited form as: Biol Res Nurs. 2014 Oct 10;17(3):237–247. doi: 10.1177/1099800414550394

Table 4.

Multiple Logistic Regression Analyses for IL6, IL13, and TNFA Genotypes Comparing the Latent Classes All Low vs All High (n = 196).

Predictor	OR	SE	95% CI	Z	p-value
IL6 genotype	14.22	15.125	1.768, 114.378	2.50	0.013
Age	0.72	0.131	0.505, 1.030	−1.80	0.072
KPS score	0.36	0.120	0.186, 0.689	−3.07	0.002
Lives alone	9.12	7.567	1.793, 46.375	2.66	0.008
Overall model fit: χ² = 36.05, p =.0001, R² = 0.3768

IL13 genotype	28.53	38.358	2.045, 397.932	2.49	0.013
Age	0.68	0.148	0.444, 1.040	−1.78	0.075
KPS score	0.44	0.135	0.242, 0.805	−2.67	0.008
Lives alone	10.89	9.960	1.815, 65.376	2.61	0.009
Overall model fit: χ² = 40.32, p <.0001, R² = 0.4215

TNFA genotype	4.97	3.871	1.079, 22.879	2.06	0.040
Age	0.71	0.130	0.500, 1.026	−1.84	0.065
KPS score	0.45	0.133	0.253, 0.806	−2.69	0.007
Lives alone	10.77	8.864	2.145, 54.050	2.89	0.004
Overall model fit: χ² = 33.50, p =.0002, R² = 0.3502

Note. For each model, the first three principal components identified from the analysis of ancestry informative markers as well as self-report race/ethnicity (i.e., White, Black, Asian/Pacific Islander, Hispanic/mixed ethnic background/other) were retained in all models to adjust for potential confounding due to race or ethnicity (data not shown). Predictors evaluated in each model included genotype (IL6 rs2069845: AA + AG versus GG; IL13 rs1295686: GG versus GA + AA; TNFA rs1800610: CC versus CT + TT), age (in 5-year increments), KPS score (in 10-point increments), and whether the patient lives alone (No/Yes). CI =confidence interval; KPS = Karnofsky Performance Status; IL = interleukin; TNFA = tumor necrosis factor alpha.