Table 3.

Hierarchical Logistic Regression Model Showing the Association Between Biomarkers (Apolipoproteins and Inflammatory Markers) With GCF Deficit

Variables entered	B	SE	Wald	OR (95 % CI)	P
Age	−0.14	0.19	1.64	0.87 (0.70–1.08)	.20
Sex	0.91	1.71	0.28	2.48 (0.09–70.23)	.59
Education	2.77	1.72	2.59	15.92 (0.55–461.97)	.11
APOM	−0.78	0.31	6.38	0.46 (0.25–0.84)	.01

Abbreviations: B, coefficient; CI, confidence interval; GCF, general cognitive functioning; OR, odds ratio; SE, standard error; Wald, Wald test.

Hierarchical logistic regression model included APOE, APOM, and LPS, controlled by age, sex, and educational level. Table shows final model (step 1), with APOM showing significance. The significant values (P < .05) are denoted by bold entries in the table.