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 |
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Age | −.042 | .004 | .549 | 10.44 | <.001 |
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Gender | .401 | .109 | -.193 | -3.68 | <.001 | 0.324 | 0.819 | |
| Connect the Dots IIa,c | Constant | .101 | .067 | 1.51 |
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Age | −.045 | .004 | −.580 | -11.06 | <.001 |
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Age-squared | −.001 | .000 | −.126 | -2.40 | .02 | 0.33 | 0.815 | |
| Wordlist Learning | Constant | −.001 | .060 | -.02 |
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Age | −.027 | .005 | −.346 | -5.78 | <.001 | 0.116 | 0.938 | |
| Wordlist Delayed Recall | Constant | .102 | .077 |
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1.32 |
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Age | −.018 | .005 | −.234 | -3.79 | <.001 |
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Gender | −.282 | .128 | −.136 | -2.21 | .03 | 0.068 | 0.961 | |
| Reaction Speeda,b | Constant | −.106 | .078 | 1.35 |
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Age | −.019 | .005 | .248 | 3.98 | <.001 |
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Gender | .272 | .128 | −.132 | -2.12 | .04 | 0.067 | 0.962 | |
| Place the Beadsa,d,e | Constant | .109 | .067 | 1.63 |
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Age | −.014 | .004 | −.195 | -3.96 | <.001 |
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Educationf | −.226 | .098 | −.113 | -2.30 | .02 | 0.058 | 0.968 | |
| Box Tapping | Constant | −.145 | .077 | -1.90 |
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Age | −.023 | .005 | −.298 | -4.86 | <.001 |
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Gender | .372 | .128 | .179 | 2.91 | .004 | 0.11 | 0.939 | |
| Fill the Grida,b | Constant | −.144 | .069 |
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-2.08 |
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Age | −.040 | .004 | −.505 | -9.18 | <.001 |
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Gender | .358 | .114 | .173 | 3.15 | .002 | 0.267 | 0.852 | |
| Digit Sequences I | Constant | .103 | .074 |
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1.39 |
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Age | −.010 | .005 | −.130 | -2.08 | .04 |
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Education | −.350 | .137 | −.160 | -2.56 | .01 | 0.036 | 0.978 | |
| Digit Sequences II | Constant | .100 | .074 | 1.35 |
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Age | −.015 | .005 | −.196 | -3.15 | <.001 |
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Education | −.357 | .137 | −.163 | -2.61 | .02 | 0.06 | 0.966 | |
| Total score | Constant | .068 | .044 | 1.56 |
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Age | −.025 | .002 | −.597 | -11.04 | <.001 |
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Age-squared | .000 | .000 | −.117 | -2.16 | .03 |
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Gender | .120 | .057 | .111 | 2.10 | .02 |
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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.