Table 2.
Model 1. Cognitive Decline as Predictors of Mortality, without Adjustment for Dementia (covariates include: age, sex, education, depression, recruitment status [volunteer vs. random], general and a specific cognitive function at baseline).
| Cognitive Domains* | Overall | Age 65 – 74 | Age 75 – 84 | |||
|---|---|---|---|---|---|---|
| HR (95% CI) | Significant covariates | HR (95% CI) | Significant covariates | HR (95% CI) | Significant covariates | |
| General cognition decline | 2.2§ (1.7–2.8) | Age§ | 2.6§ (1.6–4.4) | Volunteer‡ | 2.2§ (1.7–2.8) | Age§ |
| Female‡ | Baseline general cognition‡ | Female§ | ||||
| Volunteer§ | ||||||
| Memory composite decline | 2.6† (1.2–5.9) | Age§ | 31.9§ (6.3–160.9) | Volunteer‡ | NS | Age§, female‡ |
| Volunteer‡ | Baseline memory† | Higher education‡ | ||||
| Baseline memory§ | Baseline memory§ | |||||
| Learning composite decline | 2.4† (1.1–4.7) | Age§ | 8.5‡ (1.9–37.4) | Volunteer‡ | NS | Age§, female‡ |
| Volunteer‡ | Baseline learning† | Higher education‡ | ||||
| Baseline learning§ | Baseline learning§ | |||||
| Visuospatial composite decline | NS | Age§ | 3.2† (1.1–9.5) | Volunteer‡ | NS | Age§, female§ |
| Female§ | Baseline visuospatial‡ | Higher education† | ||||
| Volunteer‡ | Baseline visuospatial§ | |||||
| Baseline visuospatial§ | ||||||
| Language composite decline | 4.1§ (2.3–7.3) | Age§ | 6.5‡ (1.9–22.9) | Volunteer‡ | 3.1§ (1.6–6.0) | Age§ |
| Female‡ | Baseline language† | Female§ | ||||
| Volunteer‡ | ||||||
| Baseline language‡ | ||||||
| Executive composite decline | 7.5§ (2.6–20.8) | Age§ | 35.1§ (5.9–206.9) | Volunteer‡ | NS | Age§ |
| Female‡ | Baseline executive§ | Female§ | ||||
| Higher education‡ | Higher education‡ | |||||
| Volunteer‡ | Baseline executive‡ | |||||
| Baseline executive§ | ||||||
| Processing speed decline | 6.6§ (3.1–13.4) | Age§ | NS | Volunteer† | 7.4§ (3.3–16.4) | Age§ |
| Female† | Female‡ | |||||
| Volunteer‡ | Baseline speed§ | |||||
| Baseline speed§ | ||||||
Separate model fit for average annual decline in each domain; model also adjusts for baseline score in that domain.
p<0.05;
p<0.01;
p<0.001; Bonferroni correction for multiple comparisons p < 0.005