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. 2018 May 30;20(5):e192. doi: 10.2196/jmir.9298

Table 5.

Multiple linear regression models including the factors age, age-squared, gender, and/or education if significant (P<.05) for Amsterdam Cognition Scan outcome measures. All multiple regression analyses (MRA) are performed with normalized and standardized (mean 0, SD 1) scores. Education: 0=high, 1=low or medium; Gender: 0=female, 1=male.

Test Variable Beta SE beta Standard beta t value P value R2 SD (residual)
Connect the Dots Ia,b Constant −.149 .066   2.26



Age −.042 .004 .549 10.44 <.001


Gender .401 .109 -.193 -3.68 <.001 0.324 0.819
Connect the Dots IIa,c Constant .101 .067   1.51




Age −.045 .004 −.580 -11.06 <.001


Age-squared −.001 .000 −.126 -2.40 .02 0.33 0.815
Wordlist Learning Constant −.001 .060   -.02



Age −.027 .005 −.346 -5.78 <.001 0.116 0.938
Wordlist Delayed Recall Constant .102 .077
1.32




Age −.018 .005 −.234 -3.79 <.001


Gender −.282 .128 −.136 -2.21 .03 0.068 0.961
Reaction Speeda,b Constant −.106 .078   1.35



Age −.019 .005 .248 3.98 <.001


Gender .272 .128 −.132 -2.12 .04 0.067 0.962
Place the Beadsa,d,e Constant .109 .067   1.63




Age −.014 .004 −.195 -3.96 <.001


Educationf −.226 .098 −.113 -2.30 .02 0.058 0.968
Box Tapping Constant −.145 .077   -1.90



Age −.023 .005 −.298 -4.86 <.001


Gender .372 .128 .179 2.91 .004 0.11 0.939
Fill the Grida,b Constant −.144 .069
-2.08



Age −.040 .004 −.505 -9.18 <.001


Gender .358 .114 .173 3.15 .002 0.267 0.852
Digit Sequences I Constant .103 .074
1.39



Age −.010 .005 −.130 -2.08 .04


Education −.350 .137 −.160 -2.56 .01 0.036 0.978
Digit Sequences II Constant .100 .074   1.35



Age −.015 .005 −.196 -3.15 <.001


Education −.357 .137 −.163 -2.61 .02 0.06 0.966
Total score Constant .068 .044   1.56



Age −.025 .002 −.597 -11.04 <.001


Age-squared .000 .000 −.117 -2.16 .03



Gender .120 .057 .111 2.10 .02


Education −.129 .061 −.112 -2.11 .03 0.351 0.420

aReverse scoring was applied before MRA.

bInverse transformations were applied (eg, 1/Connect the Dots I).

cLog10 transformation was applied.

dSquared root transformation was applied.

eAnalyses performed on data from the Place the Beads sample.

fNote that education levels were more balanced in the Place the Beads sample by including more participants with middle or lower education than in the main sample.