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. 2023 May 29;20(11):5991. doi: 10.3390/ijerph20115991

Table 3.

Effects of demographic features, COVID-19 stressors and psychological factors on post-traumatic growth in linear multiple regression model.

Predictor Estimate SE p
(Intercept) 36.21 4.87 <0.001
Gender −0.09 1.61 0.957
Age −0.07 0.06 0.281
Education −0.11 1.37 0.933
MS Single 1 3.76 2.46 0.127
MS Relationship 1 0.45 3.21 0.889
MS Widowed/Divorced 1 4.04 2.72 0.138
Children 0.36 0.97 0.707
Caretaker role 0.98 2.88 0.734
Physical illness −0.94 1.74 0.589
Mental illness −18.66 6.07 0.002
Psychological therapy 3.90 2.67 0.145
Psychopharmacological therapy −0.64 2.84 0.822
Job loss or reduction 3.93 2.98 0.188
Economic difficulties −2.85 2.84 0.316
Childcare loss −0.15 2.29 0.946
Working from home 0.96 2.08 0.642
Leaving home to work −1.99 2.02 0.326
Confinement −5.20 3.17 0.102
Work with COVID-19 patients −1.05 3.71 0.777
COVID-19 diagnosis 5.29 2.32 0.023
COVID-19 death 1.07 1.2 0.375
COVID-19 death squared −1.22 1.56 0.433
CBI 9.52 0.85 <0.001
ISLES 0.40 0.12 0.001
Vulnerability 0.32 0.64 0.621
Mortality 0.44 0.55 0.422

Note. Unstandardized regression coefficients. SE = Standard Error of the Estimate, MS = Marital Status, CBI = Core Beliefs Inventory, ISLES = Integration of Stressful Life Experiences Scale; 1 Compared to Marital Status = “In a relationship AND living together”, prevalent in the sample. Bold font = significant effect (p < 0.05).