• The role of emotional intelligence in cardiovascular disease Original Breve

    Núñez Martín, Melina; Castillo Gualda, Ruth

    Abstract in Spanish:

    RESUMEN Objetivo Identificar qué factores de riesgo clásicos y qué dimensiones de la inteligencia emocional son buenos predictores de la enfermedad cardiovascular (ECV), en función del sexo. Método La muestra está compuesta por 220 participantes (110 con ECV y 110 sin ECV). Se registran los datos demográficos y los factores de riesgo clásicos de cada participante y se evalúa la inteligencia emocional con dos cuestionarios (TMMS- 24 y PEC). Resultados Los hombres con baja regulación emocional presentan mayor riesgo de padecer ECV (Exp(B) = 0,813; p <0,05). Las mujeres con baja comprensión intrapersonal (Exp(B) = 0,252; p ≤0,05) o baja regulación emocional (Exp(B) = 0,679; p <0,05) presentan mayor riesgo de ECV. Conclusiones La regulación emocional predice la ECV tanto en hombres como en mujeres, y por tanto puede considerarse como un factor de riesgo para la salud cardiovascular en ambos sexos.

    Abstract in English:

    ABSTRACT Objective To identify the classical risk factors and dimensions of emotional intelligence that are good predictors of cardiovascular disease according to sex. Method The sample comprised 220 participants (110 with cardiovascular disease and 110 without cardiovascular disease). The demographic data and classic risk factors of each participant were recorded, and emotional intelligence evaluated through two questionnaires (TMMS-24 and PEC). Results Men with low emotional regulation had an increased risk of cardiovascular disease (Exp(B) = 0.813; p <0.05). Women with low intrapersonal comprehension (Exp(B) = 0.252, p ≤0.05) or low emotional regulation (Exp(B) = 0.679; p <0.05) were more at risk. Conclusions Emotional regulation predicts cardiovascular disease in both men and women and therefore can be considered as a risk factor in cardiovascular health, for both men and women.
Ediciones Doyma, S.L. Barcelona - Barcelona - Spain
E-mail: gs@elsevier.com