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Resilience as Empathy Predictor in Nursing Students
Víctor P Díaz-Narváez1, Kendy Madero Zambrano2, Natalia Fortich-Mesa3
1MSc., PhD., Research Professor, Department of Research, Faculty of Odontology, Universidad Andrés Bello, Santiago, Chile. victor.diaz@unab.cl.
Objective:
To determine if resilience can predict empathy. Specifically, explain what would be the effect of the resilience dimen-sions on the dimensions of empathy in the nursing students examined in this study.
Methods:
Cross-sectional study with the participation of 340 nursing students from a private university in Colombia. Jefferson's Empathy Scale (student version) and the Resilience-Trait Scale were used. The complete psychometry of the Empathy and Resilience scales was carried out, followed by the application of Structural Equations.
Results:
Ecological Resilience predicts negatively the dimensions of "Compassionate Care" (β = -0.11) and "Walking in the pa-tient's shoes" (β = -0.19); the Engineering Resilience predicts positively the dimension "Walking in the patient's shoes" (β = 0.08).
Conclusion:
Overall, resilience predicts empathy, thereby, introducing empathetic training of nursing students in the population stud-ied must also include training in resilience.
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