Fig 1.
The ecological model of resilience adapted from Windle and Bennett (2011).
Table 1.
Characteristics of the sample.
Table 2.
Anxiety and depression clinical cut-offs.
Table 3.
Descriptives of the resilient and not resilient sample.
Table 4.
Regression blocks.
Table 5.
Final regression model (Block 5).
Fig 2.
The ecological model of resilience adapted to the context of COVID-19.
In this model we present those variables–individual, community, and societal–that were available in the Italian dataset to be tested. We have introduced specific variables in a COVID-19 level. Psychological variables which were significantly associated with resilience (+) and non-resilience (-) are: conscientiousness (+), neuroticism (-), death anxiety finality (+), intolerance of uncertainty (-), loneliness (-), and brief resilience scale (+).
Fig 3.
Plot of the odds ratios with 95% confidence intervals based on the final regression model predicting resilient vs. not resilient outcomes.
On the left side (<1, red) there are the risk factors, on the right side (>1, blue) the protective factors. Different grey bands distinguish the blocks. Asterisks mark the significant predictors.