A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic
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...
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doaj-e79a143fef594386a28733c2cde1bd632020-11-25T03:42:09ZengMDPI AGJournal of Clinical Medicine2077-03832020-10-0193258325810.3390/jcm9103258A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 PandemicSilvia San Román-Mata0Félix Zurita-Ortega1Pilar Puertas-Molero2Georgian Badicu3Gabriel González-Valero4Nursing Department, University of Granada (Spain), Campus Universitario de Melilla, Calle Santander 1, 52005 Melilla, SpainDepartment of Didactics of Musical, Plastic and Corporal Expression, University of Granada (Spain), Campus de Cartuja, s/n, 18071 Granada, SpainDepartment of Didactics of Musical, Plastic and Corporal Expression, University of Granada (Spain), Campus de Cartuja, s/n, 18071 Granada, SpainDepartment of Physical Education and Special Motricity, Faculty of Physical Education and Mountain Sports, Transilvania University of Brașov, 500068 Brașov, RomaniaDepartment of Didactics of Musical, Plastic and Corporal Expression, University of Granada (Spain), Campus de Cartuja, s/n, 18071 Granada, SpainBackground: 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.https://www.mdpi.com/2077-0383/9/10/3258resilienceemergency servicesCOVID-19adversitylockdown |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Silvia San Román-Mata Félix Zurita-Ortega Pilar Puertas-Molero Georgian Badicu Gabriel González-Valero |
spellingShingle |
Silvia San Román-Mata Félix Zurita-Ortega Pilar Puertas-Molero Georgian Badicu Gabriel González-Valero A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic Journal of Clinical Medicine resilience emergency services COVID-19 adversity lockdown |
author_facet |
Silvia San Román-Mata Félix Zurita-Ortega Pilar Puertas-Molero Georgian Badicu Gabriel González-Valero |
author_sort |
Silvia San Román-Mata |
title |
A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic |
title_short |
A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic |
title_full |
A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic |
title_fullStr |
A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic |
title_full_unstemmed |
A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic |
title_sort |
predictive study of resilience and its relationship with academic and work dimensions during the covid-19 pandemic |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2020-10-01 |
description |
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. |
topic |
resilience emergency services COVID-19 adversity lockdown |
url |
https://www.mdpi.com/2077-0383/9/10/3258 |
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