TABLE 3.

Results of multiple logistic regression and general linear model analyses for assessing the relationship between serum UA strata and Aβ, AV-1451, AD-CM, or WMH volume in non-demented older adults.

	B (SE)	df	OR	95% CI	p
Aβ positivity
Model 1	<0.001 (0.140)	1	1.000	0.760 to 1.315	1.000
Model 2	0.030 (0.152)	1	1.031	0.766 to 1.388	0.841
Model 3	0.145 (0.179)	1	1.156	0.814 to 1.643	0.417
	Type III SS	df	MS	F	p
Aβ retention, SUVR
Model 1	0.009	2	0.005	0.086	0.918
Model 2	0.018	2	0.009	0.177	0.838
Model 3	0.075	2	0.037	0.969	0.380
AV-1451, SUVR
Model 1	0.331	2	0.166	0.266	0.767
Model 2	0.442	2	0.221	0.350	0.706
Model 3	0.106	2	0.053	0.122	0.885
AD-CM, SUVR
Model 1	0.123	2	0.062	3.602	0.028
Model 2	0.112	2	0.056	3.379	0.035
Model 3	0.144	2	0.072	4.668	0.010
WMH, cm3
Model 1	48.975	2	24.396	0.833	0.436
Model 2	42.174	2	21.087	0.759	0.469
Model 3	41.082	2	20.541	0.725	0.485

Abbreviations: UA, uric acid; Aβ, beta-amyloid; AD-CM, Alzheimer’s disease signature cerebral glucose metabolism; WMH, white matter hyperintensities; OR, odds ratio; CI, confidence interval; SS, square sum; MS, mean square. Global Aβ retention was used after natural log-transformation to achieve normal distribution. Model 1 did not include any covariates, model 2 included age and sex as covariates, and model 3 included all potential covariates, including age, sex, education, apolipoprotein ε4, vascular risk score, clinical diagnosis, serum albumin, body mass index, smoking status, and alcohol intake status.