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. 2020 Oct 7;14:569359. doi: 10.3389/fnins.2020.569359

TABLE 4.

Summary of binary logistic regression analyses predicting GAD status.

Predictor Variable
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)
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.