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Table 4: Predictors of MoCA scores in patients with PD with cognitive dysfunction: univariate and multiple linear regression analysis
Characteristic Univariate Analysis^{^a} Multiple Analysis^b
Coefficient (95% CI) P Coefficient (95% CI) P
Age of PD diagnosed −0.31 (−0.52∼−0.09) .006** 
Sex −3.64 (−6.08∼−1.20) .005** 
Education 0.39 (0.01∼0.77) .042* 0.38 (0.08∼0.68) .014*
Duration −0.20 (−0.82∼0.41) .503 
Age of PD-MCI or PDD diagnosed −0.35 (−0.56∼−0.14) .002** 
FA cluster 1 85.16 (46.48∼123.84) <.001*** 84.20 (48.30∼120.11) <.001***
FA cluster 2 112.82 (59.30∼166.35) <.001*** 
FA cluster 3 35.08 (4.73∼65.43) .025* 
FA cluster 4 200.32 (−81.12∼481.76) .157 
MK cluster 1 35.08 (10.44∼59.73) .007** 
MK cluster 2 42.35 (18.44∼66.26) .001** 
MK cluster 3 85.27 (32.95∼137.59) .002** 
MK cluster 4 70.63 (24.81∼116.44) .004** 
MD cluster 1 83.00 (29.99∼136.01) .003** 
Note:—Single asterisk indicates P < .05; double asterisks, P < .005; triple asterisks, P < .001.
↵a Univariate analysis based on the complete cases without missing value.
b Multiple analyses based on imputed values in predictors.