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. 2020 Jun 5;12:160. doi: 10.3389/fnagi.2020.00160

TABLE 2.

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

OR 95% CI P
Aβ positivity
Model 1 1.009 0.848 to 1.200 0.920
Model 2 1.010 0.838 to 1.217 0.916
Model 3 1.068 0.854 to 1.336 0.565

B 95% CI P

Aβ retention, SUVR
Model 1 –0.002 −0.019 to 0.015 0.812
Model 2 0.001 −0.017 to 0.018 0.950
Model 3 0.001 −0.015 to 0.017 0.877
AV-1451, SUVR
Model 1 –0.062 −0.189 to 0.065 0.334
Model 2 –0.070 −0.203 to 0.062 0.296
Model 3 –0.052 −0.168 to 0.064 0.377
AD-CM, SUVR
Model 1 0.010 <0.001 to 0.020 0.043
Model 2 0.011 <0.001 to 0.021 0.042
Model 3 0.014 0.004 to 0.024 0.006
WMH, cm3
Model 1 0.067 −0.354 to 0.489 0.754
Model 2 –0.031 −0.463 to 0.402 0.889
Model 3 –0.039 −0.488 to 0.410 0.865

Abbreviations: UA, uric acid; Aβ, beta-amyloid; AD-CM, Alzheimer’s disease signature cerebral glucose metabolism; WMH, white matter hyperintensities; CI, confidence interval. The results of multivariate logistic or linear regression analyses are presented with OR B coefficient values, 95% CI and P-value. 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.