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Table 3 Multivariate linear regression models for the prediction of the SSQ sum score for the full model and final model after stepwise backward exclusion

From: Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data

Predictor

model

full model

final model

standardized β

95% CI low

95% CI

up

 

standardized β

95% CI low

95% CI

up

 

Sociodemographic variables

 age

-.30

-.33

-.27

 < .001

-.30

-.33

-.27

 < .001

 gender

-.04

-.07

-.01

.010

-.04

-.07

-.01

.010

Stressor groups

 Covid-19

.48

.44

.52

 < .001

.48

.44

.51

 < .001

 Ukraine

 < -.01

-.05

.04

.861

    

 Climate

.06

.02

.10

.004

.06

.02

.09

.001

Interactions

 Interaction age * climate change stressors

-.03

-.07

.01

.129

    

 Interaction age * Ukraine crisis stressors

.01

-.03

.05

.676

    

 Interaction age * Covid-19 pandemic stressors

-.05

-.09

-.02

.003

-.07

-.09

-.04

 < .001

 Interaction gender * climate change stressors

.01

-.05

.03

.692

    

 Interaction gender * Ukraine crisis stressors

-.03

-.07

.01

.125

    

 Interaction gender * Covid-19 pandemic stressors

.04

-.01

.07

.055

    

R2

.39

 < .001

.39

 < .001

  1. Abbreviations: R2 Proportion of explained variance, CI Confidence intervals, low lower bound, up upper bound. p = level of significance