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. 2019 Mar 4;11:33. doi: 10.3389/fnagi.2019.00033

Table 3.

Logistic regression analysis of the association of DPP4 activity, BDNF, DBR, and MCI.

Q1 Q2 Q3 Q4
DPP4 activity (nmol/ml/min) <11.97 11.97-16.87 16.88-24.02 >24.02
MCI 21 (7.9%) 40 (15.0%) 39 (14.6%) 69 (25.9%)
Model 1 1 2.06 (1.18, 3.59) 0.011 2.00 (1.14, 3.50) 0.016 4.09 (2.42, 6.90) < 0.001
Model 2 1 1.88 (1.06, 3.33) 0.030 2.00 (1.12, 3.56) 0.018 3.78 (2.20, 6.49) < 0.001
BDNF (ng/ml) <1.71 1.71-2.37 2.38-3.22 >3.22
MCI 70 (26.2%) 50 (18.7%) 26 (9.8%) 23 (8.6%)
Model 1 1 0.65 (0.43, 0.98) 0.039 0.31 (0.19, 0.50) < 0.001 0.27 (0.16, 0.44) < 0.001
Model 2 1 0.69 (0.45, 1.06) 0.091 0.31 (0.19, 0.51) < 0.001 0.28 (0.17, 0.48) < 0.001
DBR <4.01 4.01-6.86 6.87-12.28 >12.28
MCI 21 (7.9%) 31 (11.7%) 39 (14.6%) 78 (29.3%)
Model 1 1 1.55 (0.86, 2.77) 0.143 2.00 (1.14, 3.51) 0.015 4.86 (2.90, 8.16) < 0.001
Model 2 1 1.52 (0.84, 2.74) 0.165 1.94 (1.10, 3.43) 0.023 4.63 (2.73, 7.88) < 0.001

Model 1, crude model; Model 2, Model 1 + age + gender + BMI + current smoking + habitual alcohol consumption + leisure-time physical activity + education level + annual income + statin use + NSAID use + cardiovascular disease + SBP + TG + HDL-C.