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. 2020 May 1;9(5):1296. doi: 10.3390/jcm9051296

Table 3.

Analysis of backward regression, which determines % of the variability of ITMWA, conditioned by the group of socio-demographic and clinical predictors in the group of patients with Parkinson’s disease.

Depended Variable Model Predictors R2 F p ϐ t p
ITMWA Complete model Sex R2 = 0.125; F(16,133) = 2.185; p < 0.01 0.007 0.083 0.934
Age 0.041 0.452 0.652
Professional education 0.141 0.944 0.347
Medium education 0.092 0.551 0.582
High education 0.206 1.266 0.208
Levodopa treatment 0.138 1.493 0.138
DA treatment 0.033 0.364 0.717
MAOBI treatment −0.047 −0.547 0.585
Amantadine treatment 0.010 0.119 0.905
Anticholinergic treatment 0.004 0.044 0.965
Start of treatment with levodopa 0.157 1.483 0.141
Start of treatment with DA 0.420 4.068 0.000
LED −0.087 −0.892 0.374
Hoehn–Yahr scale −0.210 −1.821 0.071
UPDRS part III 0.352 1.181 0.240
UPDRS part I + II + III −0.242 −0.785 0.434
Optimal model highest value R2 Higher Education R2 = 0.171; F(6.133) = 5.585; p < 0.001 0.105 1.261 0.210
Levodopa treatment 0.120 1.421 0.158
Start of treatment with Levodopa 0.153 1.537 0.127
Start of treatment with DA 0.440 4.595 0.000
Hoehn–Yahr scale −0.238 −2.283 0.024
UPDRS part III 0.144 1.400 0.164

R2—amount of explained variance, F—value of Fisher’s statistics, p—statistical significance, ϐ—significance of the predictor in the model, t—result of Student’s t-test.