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. 2020 Nov 9;12:143. doi: 10.1186/s13195-020-00711-5

Table 3.

Age- and sex-adjusted effects of risk factors on ATN subgroups: multinomial logistic regression

Predicting Alzheimer’s pathologic change Predicting Alzheimer’s disease Predicting AD/non-AD pathologic change Predicting non-AD pathology
N RRR (95% CI) P RRR (95% CI) P RRR (95% CI) P RRR (95% CI) P
Risk exposures
 1. Age, years 1010 1.02 (1.00, 1.05) 0.08 1.14 (1.09, 1.19) 1.3 × 10−09 0.97 (0.92, 1.02) 0.25 1.07 (1.04, 1.10) 2.9 × 10−06
 2. Sex, female 1010 0.80 (0.58, 1.10) 0.17 0.93 (0.55, 1.56) 0.78 0.71 (0.34, 1.47) 0.36 1.05 (0.71, 1.56) 0.79
 3. Education, years 1010 1.00 (0.96, 1.05) 0.87 0.95 (0.89, 1.02) 0.18 1.07 (0.97, 1.18) 0.16 0.99 (0.94, 1.04) 0.75
 4. APOE4 955 1.93 (1.37, 2.72) 1.6 × 10−04 6.48 (3.57, 11.8) 8.5 × 10−10 1.09 (0.50, 2.36) 0.82 1.27 (0.83, 1.93) 0.27
 5. Family history 1010 1.00 (0.70, 1.44) 0.99 4.12 (1.93, 8.77) 2.5 × 10−04 0.63 (0.29, 1.37) 0.25 0.75 (0.50, 1.14) 0.18
 6. Systolic BP 1009 1.00 (1.00, 1.01) 0.35 1.00 (0.98, 1.02) 1.0 1.01 (0.99, 1.03) 0.32 1.00 (0.99, 1.01) 0.95
 7. BMI 1006 0.98 (0.94, 1.02) 0.29 0.88 (0.82, 0.95) 0.001 1.02 (0.94, 1.10) 0.65 0.98 (0.93, 1.02) 0.30
 8. High cholesterol 1010 0.75 (0.48, 1.18) 0.21 0.49 (0.22, 1.08) 0.08 0.52 (0.15, 1.77) 0.30 0.84 (0.51, 1.40) 0.51
 9. Physical inactivity 1005 0.86 (0.62, 1.19) 0.36 1.01 (0.59, 1.71) 0.98 0.83 (0.38, 1.79) 0.64 1.13 (0.77, 1.67) 0.53
 10. Ever smoked 1005 1.09 (0.79, 1.50) 0.62 1.34 (0.79, 2.28) 0.28 1.54 (0.72, 3.29) 0.27 1.39 (0.94, 2.05) 0.10
 11. BP medication 1010 0.61 (0.38, 0.97) 0.04 0.48 (0.23, 1.04) 0.06 0.87 (0.32, 2.40) 0.79 0.69 (0.41, 1.18) 0.18
 12. Diabetes 1010 0.32 (0.11, 0.94) 0.04 0.81 (0.26, 2.51) 0.72 1.44 (0.68, 3.05) 0.34
 13. Prior CVD 1010 0.68 (0.27, 1.73) 0.42 0.71 (0.19, 2.57) 0.60 2.00 (0.43, 9.23) 0.38 1.10 (0.45, 2.70) 0.84
 14. Atrial fibrillation 1010 0.87 (0.23, 3.27) 0.84 0.81 (0.10, 6.73) 0.84 2.22 (0.72, 6.86) 0.17
 15. WML volume* 988 1.008 (1.003, 1.014) 0.002 1.014 (1.007, 1.020) 4.0 × 10−05 1.012 (1.004, 1.021) 0.005 1.002 (0.995, 1.010) 0.52
 16. MMSE 1009 1.02 (0.90, 1.16) 0.74 0.79 (0.68, 0.93) 0.006 1.04 (0.77, 1.41) 0.80 0.91 (0.79, 1.05) 0.18
 17. Episodic verbal memory 1007 1.00 (0.96, 1.04) 0.95 0.95 (0.89, 1.01) 0.10 1.03 (0.94, 1.14) 0.53 0.98 (0.93, 1.03) 0.38
 18. Executive function 1007 0.98 (0.97, 1.00) 0.05 0.97 (0.95, 1.00) 0.02 0.99 (0.96, 1.03) 0.70 0.98 (0.96, 1.00) 0.08
Composite scores
 19. CAIDE 1002 0.92 (0.77, 1.10) 0.34 1.00 (0.75, 1.32) 0.98 0.86 (0.56, 1.32) 0.49 1.05 (0.85, 1.29) 0.65
 20. Framingham CVD 1005 0.90 (0.70, 1.12) 0.33 0.84 (0.57, 1.23) 0.37 0.96 (0.56, 1.64) 0.88 0.97 (0.74, 1.27) 0.82
 21. Framingham stroke 1005 0.99 (0.78, 1.27) 0.96 0.94 (0.65, 1.37) 0.75 1.31 (0.77, 2.24) 0.32 1.23 (0.93, 1.61) 0.14

All models additionally adjust for study site (n = 21). Effects sizes are relative risk ratios (RRR) and their 95% confidence intervals. For the full sample (n = 1010) the groups sizes are as follows: normal AD biomarkers: n = 567; Alzheimer’s pathologic change: n = 211; AD: n = 67; AD and non-AD pathologic change: n = 31; non-AD pathologic change: n = 134. Composite scores are entered into models as z-scores. P values in bold survive Bonferroni correction (0.5/84 = 0.006)

*Proportion of total brain volume. No significant interaction terms were observed between individual vascular risk factors and age nor sex, respectively, except that sex and MMSE score in predicting Alzheimer’s pathologic change (p = 0.006), and age and APOE4 in predicting Alzheimer’s pathologic change (p < 0.001)