Processing speed predicts SuperAging years later

BMC Psychology

Table 3 Binomial logistic regression analysis (method: enter) predicting SA status

Measure (2012)	BIC	AIC	R²_MCF	Measure 2012 OR [95% CI]	Sex OR [95% CI]	EDU-Y OR [95% CI]	Age OR [95% CI]
CS-memory	111	98	.08	1.03 [0.57, 1.87]	3.64 [0.97, 13.63]	0.99 [0.85, 1.16]	0.89 [0.79, 1.01]*
CS-speed	101	88	.18	3.81 [1.48, 9.84]**	4.94 [1.17 20.93]*	0.97 [0.82, 1.15]	0.86 [0.75, 1.00]*
CS-executive	105	93	.14	1.90 [1.07, 3.35]*	3.68 [0.92, 14.69]	0.98 [0.83, 1.15]	0.86 [0.75, .99]*

N, 96. BIC, Bayesian information criterion; AIC, Akaike information criterion; R²_MCF, McFadden’s R squared; OR, Odds ratio; 95% CI, 95% confidence intervals; EDU-Y, years of education; CS, composite score
p values (*p < 0.05; **p < 0.01) indicate the statistical significance of a predictor independent of all other factors in the model

ISSN: 2050-7283