Resilience as a Buffering Variable Between the Big Five Components and Factors and Symptoms of Academic Stress at University
Metadatos
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Frontiers Research Foundation
Materia
Big Five model Resilience Stress and factor symptoms SEM model University
Date
2021-07-08Referencia bibliográfica
de la Fuente J... [et al.] (2021) Resilience as a Buffering Variable Between the Big Five Components and Factors and Symptoms of Academic Stress at University. Front. Psychiatry 12:600240. doi: [10.3389/fpsyt.2021.600240]
Patrocinador
University of Navarra, Ministry of Education and Science (Spain) PGC2018-094672-BI00; European Social Fund (ESF); University of Almeria (Spain) UAL18-SEJ-DO31-A-FEDER; European Social Fund (ESF) European CommissionRésumé
The aim of this cross-sectional study was to establish predictive relationships of the Big
Five personality factors (according to their self-regulatory level), together with resilience
(proactive and reactive factors), for factors and symptoms of academic stress related to
teaching and learning in the University context. A total of 405 female undergraduate
students were selected, and completed questionnaires that had been previously
validated in Spanish University students (Big Five personality factors, resilience, and
academic stress symptoms and factors). A linear, ex-post facto design was used,
including linear regression, Structural Equation Modeling (SEM), and mediational
analyses. Specific linear regression showed the expected gradation: that self-regulatory
personality factors (conscientiousness, extraversion) were positive linear predictors of
proactive resilience, as well as significant negative predictors of stress factors and
symptoms of academic stress; while the non-regulatory personality factors (openness
to experience, agreeableness) showed little relationship. By contrast, the dysregulatory
personality factor (neuroticism) was a negative predictor of proactive resilience, a positive
predictor of reactive resilience, and positively predicted academic stress factors in the
teaching and learning process, as well as stress symptoms. SEM general analysis
showed that personality factors positively predicted resilience, and resilience negatively
predicted factors and symptoms of academic stress. Specific mediational model
analysis, with each personality factor, confirmed the different mediating relationships
that appeared in the linear regression analyses. These results are discussed from the
perspective of promoting resilience and healthy personalities in the University context.
Implications for addressing academic stress at University are discussed.