Table 3.

Logistic regression modeling of mCAIDE effects on likelihood of cognitive impairment (N=230).

		Beta±SE	P value	OR (95%CI)	Score
Intercept		−1.362±0.345	<0.001
Sex
	Female	0			0
	Male	0.376±0.385	0.329	1.457 (0.685–3.098)	1
Age
	<65 years	0			0
	65–72 years	0.294±0.240	0.219	3.110 (1.230–7.862)	1
	≥73 years	0.546±0.261	0.037	4.001 (1.484–10.789)	2
Education
	>16 years	0			0
	12–16 years	−0.267±0.224	0.234	0.939 (0.397–2.223)	1
	<12 years	0.471±0.270	0.081	1.964 (0.723–5.338)	2
Systolic blood pressure
	<140 mmHg	0			0
	≥140 mmHg	−0.425±0.358	0.236	0.654 (0.324–1.320)	2
Body mass index
	≤30 kg/m2	0			0
	>30 kg/m2	0.450±0.368	0.222	1.567 (0.762–3.225)	2
Self-reported high cholesterol
	No	0			0
	Yes	−0.586±0.360	0.103	0.556 (0.275–1.127)	2
Mini PPT
	≥12 (fit)	0			0
	<12 (unfit)	0.920±0.368	0.013	2.509 (1.219–5.163)	3
Range					0–14

Notes: Estimates were standardized so that the smallest estimate (0.267) had a value of 1 (multiplication factor of 3.7). Each estimate was then multiplied by this factor and rounded to the closest integer and that became the score for each category (e.g., for education of <12 years, estimate=0.471 × 3.7=1.743, was rounded up to a score of 2).