Table 1 Mediation analyses model 1.

From: Situational pathogen avoidance mediates the impact of social connectedness on preventive measures during the COVID-19 pandemic

Predictors

Dependent variable

Indirect effects

Perceived risk of infection

Connectedness

Situational pathogen avoidance

Estimate

Bias-corrected bootstrap 95% confidence interval

Familiarity

0.08 (0.47)

1.47 (< 0.001*)

0.18 (0.07)

  

Connectedness

− 0.10 (< 0.001*)

 

− 0.22 (< 0.001*)

  

Situational pathogen avoidance

0.38 (< 0.001*)

    

Total

   

− 0.2

[− 0.32, − 0.08]*

FA → CO → PR

   

− 0.15

[− 0.32, − 0.08]*

FA → SPA → PR

   

0.07

[− 0.24, 0.14]

FA → CO → SPA → PR

   

− 0.12

[− 0.17, − 0.08]*

  1. In Study 1, two mediation models with two mediators (connectedness and disgust) were calculated. Mediation model 1 refers to the outcome variable perceived risk of infection. Table 1 shows the direct effects (β) in the mediation models and the indirect effects in mediation model 1. p-values less than 0.05 are assumed to be significant (*). An indirect effect is assumed as significant if the 95% CI does not include 0 (*).
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