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Reyes Reyes, Fernando Teddy

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Reyes Reyes

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Fernando Teddy

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  • Publication
    Resilience and empathy in health science students
    (2025) Díaz-Narváez, Víctor P.; Sandoval, Mildred A.; Acosta-Martínez, Adán A.; Monterroza, Leida G.; Reyes Reyes, Fernando Teddy; Vilca, Lindsey W.; Reyes-Reyes, Alejandro
    Introduction: To determine whether resilience dimensions are able to predict empathy dimensions based on individual resilience scores in a sample of health sciences students. Methods: The sample consisted of 1,093 students from the Faculty of Health Sciences of El Salvador. Descriptive statistics were estimated to characterize the sample and the prediction of the dimensions of resilience on those of empathy was estimated using structural equations. Results: It was found that the Engineering and Adaptive dimensions of resilience negatively predict the Adoption of Perspective and Compassionate Care dimensions of empathy, while the ecological dimension positively predicted the Adoption of Perspective and Compassionate Care dimensions of empathy. Conclusion: Individual resilience is a variable that can influence empathy and predict empathic behaviour in students from different careers or study programmes belonging to a Faculty of Health Sciences. These findings provide empirical evidence supporting the concept that empathy can be defined as a dependent variable regarding individual resilience. It is necessary to introduce training in resilience and empathy in a coordinated manner in the teaching-learning process in health sciences students.
  • Publication
    Resilience as empathy predictor in nursing students
    (2025) Díaz-Narváez, Víctor P.; Madero Zambrano, Kendy; Fortich-Mesa, Natalia; Hoyos Hoyos, Vivi; Vilca Quiro, Lindsey W.; Reyes-Reyes, Alejandro; Reyes Reyes, Fernando Teddy; Gamarra-Moncayo, José
    Objective. To determine if resilience can predict empathy. Specifically, explain what would be the effect of the resilience dimensions 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” (ß = -0.11) and “Walking in the patient’s shoes” (ß = -0.19); the Engineering Resilience predicts positively the dimension “Walking in the patient’s shoes” (ß = 0.08). Conclusion. Overall, resilience predicts empathy, thereby, introducing empathetic training of nursing students in the population studied must also include training in resilience.