Table 5 Multivariate regression results (N = 71). Outcome variables are displayed in the columns, and predictor variables are displayed in the rows. Statistically significant results (p < .05) are highlighted in boldface—unstandardized coefficients (B), and respective effect sizes in terms of partial eta squared (\({\upeta }_{{\text{p}}}^{2}\)); 95% confidence intervals are in square brackets. Goodness-of-fit is indicated by the adjusted R²

adjR²

.532

.104

.398

.432

.432

.145

.791

.571

.599

Gender (Fem. = 0, Male = 1)

\({\eta }_{p}^{2}\)

.001

.000

.001

.020

.001

.000

.038

.066

.000

B

-.503 [-3. 943, 2.938]

-.026 [-3.115, 3. 063]

-.245 [-2.899, 2.408]

-1.263 [-3.477, .950]

.339 [-2.468, 3.145]

-.222 [-3.020, 2.575]

-1.395 [-3.154, .363]

-2.049 [-3.985, -.113]

-.016 [-.422, .389]

Current stress

\({\eta }_{p}^{2}\)

.300

.011

.158

.003

.102

.013

.171

.122

.018

B

1.905 [1.173, 2.637]

.278 [-.379, .935]

-.972 [-1.536, -.407]

-.110 [-.581, .361]

-.799 [-1.396, -.202]

.266 [-.329, .861]

-.675 [-1.049, -.301]

-.609 [-1.021, -.197]

-.046 [-.132, .040]

GQ-6

\({\eta }_{p}^{2}\)

.000

.011

.000

.201

.283

.122

.020

.031

.103

B

-.025 [-.341, .292]

-.119 [-.404, .165]

.010 [-.234, .254]

.405 [.201, .609]

.644 [.385, .902]

.382 [.124, .639]

.092 [-.070, .254]

.126 [-.052, .304]

.050 [.013, .087]

SE

\({\eta }_{p}^{2}\)

.081

.067

.074

.081

.023

.014

.533

.249

.289

B

-.447 [-.826, -.068]

.363 [.022, .703]

.328 [.036, .621]

.288 [.044, .532]

.190 [-.120, .499]

.148 [-.160, .457]

.822 [.628, 1.016]

.488 [.274, .701]

.113 [.068, .158]

LOT-R

\({\eta }_{p}^{2}\)

.060

.005

.049

.015

.003

.007

.075

.008

.053

B

-.744 [-1.482, -.005]

.196 [-.467, .859]

.513 [-.057, 1.082]

.236 [-.239, .711]

.131 [-.471, .734]

.204 [-.396, .804]

.427 [.049, .804]

.151 [-.264, .566]

.082 [-.005, .169]