Román-Mata SS, Zurita-Ortega F, Puertas-Molero P, Badicu G, González-Valero G. A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic.
J Clin Med 2020;
9:E3258. [PMID:
33053785 PMCID:
PMC7601764 DOI:
10.3390/jcm9103258]
[Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/02/2020] [Accepted: 10/08/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND
The aim of the present study was to describe the resilience levels in a Spanish population during the Coronavirus (COVID-19) pandemic and to analyze the existing associations between high resilience and socio-demographic, work, and academic parameters.
METHOD
1176 individuals aged 18-67 years participated in a descriptive cross-sectional study. The participants were administered the 10-item resilience scale developed by Connor-Davidson (CD-RISC-10) and an ad-hoc questionnaire that collected information on socio-demographic, work, and academic variables. Basic descriptive data were used to statistically analyze the data, and a binary logistic regression model was developed incorporating the professional occupation, academic level, whether the respondent worked in emergency services, and whether the respondent had dependents.
RESULTS
Slightly more than a quarter of the participants showed low resilience, almost half reported moderate resilience, and slightly more than a quarter had high resilience. Those who were employed were 2.16-times more likely to have high resilience, whilst those with higher education were 1.57-times more likely. Those working in emergency services were 1.66-times more likely, and those with dependents were 1.58-times more likely to have high resilience.
CONCLUSION
In addition to the relationships found, a need to improve the resilience levels in the population was found.
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