Table 1 Estimates from regression model predicting learning-related variables derived from our computational model from measures of intolerance of uncertainty, state anxiety, and trait anxiety.

From: Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample

Target variable

Predictor

Estimate (±95% HPDI)

Total scores

Threat update (τ−)

IUS

0.07 (−0.03, 0.16)

STICSA S

−0.09 (−0.19, 0.01)

STICSA T

−0.03 (−0.12, 0.07)

Safety update (Ï„+)

IUS

0.0 (−0.1, 0.09)

STICSA S

0.12 (0.02, 0.21)

STICSA T

0.09 (−0.01, 0.18)

Mean safety uncertainty

IUS

−0.05 (−0.14, 0.05)

STICSA S

−0.09 (−0.19, 0.01)

STICSA T

−0.08 (−0.18, 0.01)

Mean safety probability

IUS

−0.02 (−0.12, 0.07)

STICSA S

0.12 (0.02, 0.21)

STICSA T

0.06 (−0.03, 0.15)

Trait anxiety subscales

Threat update (τ−)

STICSA S cognitive

0.1 (−0.04, 0.23)

STICSA S somatic

−0.2 (−0.34, −0.08)

STICSA T cognitive

0.18 (0.05, 0.32)

STICSA T somatic

−0.22 (−0.35, −0.09)

Safety update (Ï„+)

STICSA S cognitive

−0.08 (−0.21, 0.06)

STICSA S somatic

0.22 (0.08, 0.35)

STICSA T cognitive

−0.16 (−0.29, −0.03)

STICSA T somatic

0.26 (0.13, 0.39)

Mean safety uncertainty

STICSA S cognitive

0.1 (−0.03, 0.23)

STICSA S somatic

−0.21 (−0.34, −0.08)

STICSA T cognitive

0.18 (0.04, 0.31)

STICSA T somatic

−0.27 (−0.4, −0.14)

Mean safety probability

STICSA S cognitive

−0.1 (−0.23, 0.03)

STICSA S somatic

0.23 (0.1, 0.37)

STICSA T cognitive

−0.19 (−0.32, −0.05)

STICSA T somatic

0.27 (0.13, 0.39)

  1. Effects with HPDIs excluding zero are shown in bold.
  2. IUS Intolerance of Uncertainty Scale, STICSA S State−trait Inventory of Cognitive and Somatic Anxiety, State Measure, STICSA T State-trait Inventory of Cognitive and Somatic Anxiety, Trait Measure, HPDI highest posterior density estimate.
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