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. 2024 Sep 13;103(7):e209766. doi: 10.1212/WNL.0000000000209766

Table 3.

Multivariable Logistic Regression Model for Predictors (Domain-Level) Associated With the Binary AAO Outcome in Cohort 2

Parameter OR 95% CI p Value
Model 1
 Pathology CSF p-tau181 levels 1.014 0.983–1.046 0.38
 IPIP (collateral-reported) Conscientiousness 0.916 0.845–0.994 0.04
Model 2
 Cognition MMSE scores 0.376 0.139–1.019 0.055
 IPIP (collateral-reported) Conscientiousness 0.908 0.835–0.986 0.02
Model 3
 Cognition MMSE scores 0.379 0.139–1.029 0.057
 Pathology CSF p-tau181 levels 1.015 0.978–1.053 0.43
 IPIP (collateral-reported) Conscientiousness 0.914 0.836–1.000 0.051
Model 4
 Years of education Years of education 0.474 0.249–0.902 0.02
 IPIP (collateral-reported) Conscientiousness 0.880 0.799–0.969 0.009

Abbreviations: AAO = age at symptom onset; IPIP = International Personality Item Pool; MMSE = Mini-Mental State Examination; OR = odds ratio.

Model 1 was adjusted for CSF p-tau181 levels. Model 2 was adjusted for MMSE scores. Model 3 was adjusted for MMSE scores and CSF p-tau181 levels. Model 4 was adjusted for years of education. The p values were obtained from a multivariable logistic regression model used to regress the event (equal or earlier AAO than parental AAO, negative outcome) or control (delayed AAO, positive outcome) status. Statistical significance (p < 0.05) is indicated by bold font.