TABLE 4.
Summary of binary logistic regression analyses predicting GAD status.
Predictor Variable |
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Worry Utility (Nagelkerke R2 = 0.447, p < 0.0001) |
Worry Distracts (Nagelkerke R2 = 0.273, p = 0.0001) |
‘As Many As Can’ (Nagelkerke R2 = 0.077, p = 0.141) |
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Variable | B (SE) | p-value | B (SE) | p-value | B (SE) | p-value |
Constant | -1.827 (0.346) | 0.0000 | -1.490 (0.283) | 0.0000 | -1.316 (0.251) | 0.0000 |
Predictor | 1.760 (0.385) | 0.0011 | 0.889 (0.272) | 0.0011 | -0.092 (0.253) | 0.715 |
vmHRV | -0.428 (0.329) | 0.193 | -0.214 (0.240) | 0.373 | 0.078 (0.285) | 0.785 |
Predictor x vmHRV | 0.507 (0.386) | 0.189 | 0.676 (0.319) | 0.034 | 0.552 (0.267) | 0.039 |
N = 109 except for ‘as many as can’ analysis for which N = 104. B = unstandardized regression coefficient; SE = standard error; coefficients are expressed in a log-odds metric.