Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry

Table 3 Odds ratios for predicting PAL decliner by ECog and other variables using logistic regression model (n = 10,065)

Variable	Odds ratio (95% CI)
Variable	Decliner on PAL FAMS (n = 517)	Decliner on PAL TEA (n = 505)
Self-ECog positive (≥ cut-off 1.31)	1.173 (0.977–1.407)	1.200 (1.000-1.439)*
Self-ECog consistent (any item ≥ 3)	1.262 (1.053–1.513)*	1.320 (1.102–1.583)*
Self-ECog total	1.390 (1.121–1.708)*	1.466 (1.194–1.783)*
SP-ECog positive (≥ cut-off 1.36)	2.128 (1.368–3.267)*	0.692 (0.385–1.172)
SP-ECog consistent	2.417 (1.591–3.655)*	1.195 (0.749–1.862)
SP-ECog total	1.832 (1.071–2.964)*	0.704 (0.326–1.346)
Subjective memory concern	1.597 (1.328–1.920)*	1.511 (1.256–1.818)*
GDS	1.062 (1.029–1.095)*	1.061 (1.029–1.094)*
AD medication use	0.984 (0.379–2.093)	0.763 (0.268–1.703)
Self-reported any impairment	1.502 (1.091–2.027)*	1.618 (1.196–2.150)*

For each variable, separate multivariable logistic regression models for predicting decliners were conducted, with age, gender, years of education, race, and the baseline PAL score included as additional predictors
The reference groups were the Non-decliner groups
Decliners were identified based on PAL FAMS slopes at or below the fifth percentile relative to the group mean slope, while PAL TEA decliner was defined as 95th percentile or higher
*significant
PAL, paired associates learning; ECog, Everyday cognition scale; CI, confidence interval; FAMS, first attempt memory score; TEA, total errors adjusted; Self-ECog, self-reported ECog; SP-ECog, study partner-reported ECog; GDS, geriatric depression scale; AD, Alzheimer’s disease

ISSN: 1758-9193