Person: Reyes Reyes, Fernando Teddy
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Reyes Reyes
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Fernando Teddy
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Publication Synergy between resilience and empathy in health sciences students: A cross-sectional study(2025) Díaz-Narváez, Víctor P.; Alonso Palacio, Luz Marina; Borja González, Juana; Rod, J. E.; De las Salas, Roxana; Alonso Cabrera, Jesús; Salcedo Salgado, Juan; Rodríguez Sanjuán, Alexander; Ríos García, Ana Liliana; Cano Barrios, Allison Elena; De la Cruz-Rocha, Edwin Rafael; Caro, Sara; Serrano Mariño, Dolores Vanessa; Ferreira Medina, Yanina; Hernández Bustos, Oscar E.; Espitia Nieto, Sandra; Hoyos De Los Ríos, Olga Lucia; Gamarra-Moncayo, José; Vilca, Lindsey W.; Reyes Reyes, Fernando Teddy; Reyes-Reyes, Alejandro; Cisneros, Ricardo; Velasco, Katherine; Carmona-Meza, ZenenBackground. Empathy is considered a key factor in patient satisfaction, treatment adherence, clinical outcomes, and professional fulfillment. Consequently, training health sciences students in empathy has become a priority in universities worldwide. However, empathy-focused interventions have not achieved the desired success due to the complex nature of empathy. Both internal and external factors shape and influence empathy. Resilience has been proposed as one such factor, but the association between these two concepts is poorly understood. This study aims to evaluate the association between different dimensions of resilience and empathy in health science students. Methods. A Cross-sectional analysis evaluated the levels of empathy and resilience in 993 Medical, Nursing, and Dentistry students at Universidad del Norte using the Jefferson Scale of Empathy-Health Professions Students (JSE-HPS) and the Ecological, Engineering, Adaptation (EEA) Resilience Scale. Data were examined through univariate and multivariate normality analyses and descriptive statistics. To evaluate the theoretical structure of empathy and resilience, a confirmatory factor analysis (CFA) was performed on the three-dimensional models of each construct. Reliability was established using the Omega coefficient. Finally, structural equation modeling (SEM) with a robust maximum likelihood estimator was applied to analyze the association between resilience and empathy. Results. The normal distribution assumptions were largely met for empathy scale data, its respective dimensions, and individual items. The theoretical model was well-supported for both constructs, and the data suggested acceptable reliability. SEM analysis revealed that the association between empathy and resilience dimensions vary. Ecological resilience was positively correlated with all empathy dimensions while engineering and adaptative resilience were negatively correlated with all three dimensions of empathy. Conclusions. There is no universal effect of resilience on empathy. Designers of empathy-focused educational interventions and researchers should consider the potential differential effects of different dimensions of resilience on different aspects of empathy. In particular, focusing on ecological resilience may create the conditions for achieved empathy to be expressed, while strategies to mitigate the potential negative impact of adaptive resilience on empathy should be further explored.Publication Resilience as a predictor of empathy in Colombian nursing students(2025) Hernández-Alvarez, Guiomar; López-Sáleme, Rossana; Escobar-Velásquez, Katty; Gamarra-Moncayo, José Rolando; Reyes Reyes, Fernando Teddy; Reyes-Reyes, Alejandro; Díaz-Narváez, VíctorObjective: This study aims to determine whether individual resilience can predict empathic behavior in undergraduate nursing students and how resilience influences empathy (positively or negatively). Methods: Descriptive, cross-sectional, and correlational study. The population consisted of 516 students from all academic semesters duly enrolled in the 2023 academic cycle in the Faculty of Nursing, Universidad Cartagena de Indias, Colombia. A convenience sample of 330 students was selected, with a predominance of women compared to men. To assess empathy, the Jefferson Scale of Empathy for Health Professionals was used, which has three dimensions (Compassionate Care, Perspective-Taking, and “Walking in the Patient’s Shoes”), and resilience was measured using the Trait Resilience Scale composed of three dimensions (Engineering, Ecology, and Adaptation). Empathy and resilience data were subjected to psychometric analysis to verify compliance with the theoretical model and the presence of the dimensions of each construct in the data. Descriptive statistics of each scale are presented. The prediction of resilience on empathy was performed using Structural Equation Models (SEM). Results: There is an overall positive relationship between resilience as a predictor of empathy; the goodnessof-fit indicators of the implemented SEM model prove to be adequate; however, not all dimensions of the resilience variable prove to be adequate predictors when associated with the empathy dimensions, the ecological dimension of resilience positively predicts the perspective-taking dimension of empathy. In contrast, the adaptation dimension negatively predicts the compassionate care dimension of empathy, with no statistically significant relationship in the engineering dimension. Conclusion: Individual resilience is a variable that can predict empathetic behavior in nursing students from the studied Faculty of Nursing.