Table 10.
Regression analysis prediction of an anxiety symptom composite from digital biomarker variables, with covariance for age and gender.
| B | Std. Error | β | t | Sig. | R | ΔR² | ||
|---|---|---|---|---|---|---|---|---|
| Model 1 | (Constant) | 1.024 | 12.814 | 0.080 | 0.937 | 0.266 | 0.024 | |
| Age | 1.010 | 1.370 | 0.114 | .737 | 0.465 | |||
| Gender | 5.995 | 3.592 | .257 | 1.669 | 0.103 | |||
| Model 2 Step 1 |
(Constant) | -9.081 | 12.378 | -.734 | .468 | 0.476 | 0.167 | |
| Age | .755 | 1.269 | .085 | .595 | .556 | |||
| Gender | 5.550 | 3.323 | .238 | 1.670 | .103 | |||
| Step 2 | LF/HF | 14.137 | 5.047 | .396 | 2.801 | .008 | ||
| Model 3 Step 1 |
(Constant) | 226.594 | 106.463 | 2.128 | .040 | 0.562 | 0.244 | |
| Age | .855 | 1.210 | .096 | .707 | .484 | |||
| Gender | 4.571 | 3.196 | .196 | 1.430 | .161 | |||
| Step 2 | LF/HF | 14.127 | 4.809 | .396 | 2.938 | .006 | ||
| HR | -3.001 | 1.347 | -.302 | -2.227 | .032 | |||
| Model 4 Step 1 |
(Constant) | 362.806 | 110.595 | 3.280 | .002 | 0.655 | 0.352 | |
| Age | 1.068 | 1.123 | .120 | .951 | .348 | |||
| Gender | 4.010 | 2.966 | .172 | 1.352 | .185 | |||
| Step 2 | LF/HF | 13.367 | 4.460 | .374 | 2.997 | .005 | ||
| HR | -4.475 | 1.360 | -.451 | -3.290 | .002 | |||
| pNN50 | -2.112 | .778 | -.369 | -2.713 | .010 |
HR, Heart Rate; LF/HF, Ratio of Low-Frequency to High-Frequency; pNN50, The proportion of NN50 divided by the total number of NN (R-R) intervals.