Dataset Information

Resilience and mental health during the COVID-19 pandemic.

ABSTRACT:

Background

Resilience is a process that allows recovery from or adaptation to adversities. The aim of this study was to evaluate state resilience during the COVID-19 pandemic in psychiatric patients (PP), unaffected relatives (UR) and community controls (CC).

Methods

This study is part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project. Logistic regression models were performed to identify mental health outcomes associated with bad state resilience and predictors of good state resilience. The association between state resilience and specific affective temperaments as well as their influence on the association between depressive symptoms and state resilience were verified.

Results

The study recruited 898 participants that took part in the survey. The presence of depressive symptoms was a predictor of bad state resilience in PP (β=0.110, OR=1.117, p=0.028). No specific mental health outcome was associated with bad state resilience in UR and CC. Predictors of good state resilience in PP were having pursued hobbies/conducted home tasks (β=1.261, OR=3.528, p=0.044) and level of organization in the family (β=0.986, OR=2.682, p=0.008). Having a controlling family was inversely associated with good state resilience in CC (β=-1.004, OR=0.367, p=0.012). The association between bad state resilience and depressive symptoms was partially mediated by affective temperaments.

Limitations

Participants self-reported their psychiatric diagnoses, their relatives' diagnoses or the absence of a psychiatric disorder, as well as their psychiatric symptoms.

Conclusions

Enhancing resilience and coping strategies in the face of the COVID-19 pandemic might have important implications in terms of mental health outcomes.

SUBMITTER: Verdolini N

PROVIDER: S-EPMC7845537 | biostudies-literature |

REPOSITORIES: biostudies-literature

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