Objective. To determine the effect of fear and coping with death on compassion fatigue in nurses working in the intensive care unit. Methods. Correlational-predictive design, applied in 245 nurses working in the intensive care unit through intentional sampling. The study applied a personal data card, the Collet-Lester Fear of Death Scale (α=0.72), the Bugen Fell of Death Scale (α=0.82), and the Empathy Exhaustion Scale (α=0.80). Descriptive and inferential statistics were performed, such as Spearman's test and a structural equation model. Results. The work had 255 nurses who participated, finding a relationship among fear and coping toward death and compassion fatigue (p<0.01), together with the equation model showing that fear and coping toward death have a positive effect in 43.6% on compassion fatigue. Conclusion. Fear and coping with death have an effect on compassion fatigue in nurses working in the intensive care unit, so that when working in a critical area it can cause health effects
El objetivo del estudio es explicar el efecto del malestar sobre el empoderamiento en mujeres que viven con diabetes. Diseño correlacionalexplicativo, con un muestreo a conveniencia a 387 mujeres. Se aplicó el instrumento Cuestionario de área de problemas en diabetes (α=0.90) y la Escala de empoderamiento en diabetes (α=0.89). Se realizó estadística descriptiva e inferencial como correlación de Spearman y modelo de ecuaciones estructurales. Se halló relación entre el malestar emocional y la glucosa capilar (p<0.05), y relación de la edad (r=p<0.05) y malestar emocional (p<0.05) con el empoderamiento en diabetes. En el modelo estructural el malestar emocional afecta negativamente el empoderamiento de la diabetes. Se concluye que el malestar emocional produce un efecto negativo en el empoderamiento de la diabetes, por lo que este grupo vulnerable requiere un abordaje especifico que mejore sus procesos emocionales, permitiendo un mejoramiento del control glucémico.
Objective. The work sought to determine the effect of the risk factors, fear, and concern on self-care regarding COVID- 19 in people in pre-elderly and elderly stages. Methods. Correlational-predictive study, gathered through convenience sampling. The study applied the scale of fear of COVID-19 (Huarcaya et al.), the scale of concern about COVID-19(Ruíz et al.,), and the scale of self-care during the COVID-19 confinement (Martínez et al.,). Descriptive and inferential statistics were applied as the mediation model based on regression. Results. The study had the participation of 333 people, with the majority being women (73.9%). Correlation was found between self-care with the scores from the scale of fear (r = -0.133, p <0.05) and of concern (r = -0.141, p<0.05) regarding COVID-19. The direct effect of the model wasc’ = 0.16, [95% BCa CI = -0.28, -0.09]. The standardized value for the indirect effect was estimated as c = -0.14, [95%BCa CI=-0.23,-0.09]), which shows existence of a 14.0% effect of the mediating variable on self-care conducts in the prediction model. Conclusion. A direct effect exists of risk factors for COVID-19 complication on self-care, mediated by concern and fear, besides explaining by 14% the self-care conducts for COVID-19. Recommendation is made to address other emotional variables to consider if these increase the prediction.
Objective. The work sought to determine the effect of the risk factors, fear, and concern on self-care regarding COVID- 19 in people in pre-elderly and elderly stages. Methods. Correlational-predictive study, gathered through convenience sampling. The study applied the scale of fear of COVID-19 (Huarcaya et al.), the scale of concern about COVID-19(Ruíz et al.,), and the scale of self-care during the COVID-19 confinement (Martínez et al.,). Descriptive and inferential statistics were applied as the mediation model based on regression. Results. The study had the participation of 333 people, with the majority being women (73.9%). Correlation was found between self-care with the scores from the scale of fear (r = -0.133, p <0.05) and of concern (r = -0.141, p<0.05) regarding COVID-19. The direct effect of the model wasc’ = 0.16, [95% BCa CI = -0.28, -0.09]. The standardized value for the indirect effect was estimated as c = -0.14, [95%BCa CI=-0.23,-0.09]), which shows existence of a 14.0% effect of the mediating variable on self-care conducts in the prediction model. Conclusion. A direct effect exists of risk factors for COVID-19 complication on self-care, mediated by concern and fear, besides explaining by 14% the self-care conducts for COVID-19. Recommendation is made to address other emotional variables to consider if these increase the prediction.
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