Mental health predictors in Spanish population: Age, gender, emotional intelligence and resilience

Predictores de salud mental en población española: edad, género, inteligencia emocional y resiliencia

Laura Lacomba-Trejo , Iraida Delhom , Mônica Donio-Bellegarde , Joaquín Mateu-Mollá
Revista Latinoamericana de Psicología, (2024), 56, pp. 45-54.
Received 14 December 2023
Accepted 20 May 2024

https://doi.org/10.14349/rlp.2024.v56.5

Resumen

Introducción: La ansiedad, la depresión y el estrés son cada vez más frecuentes, especialmente desde la crisis sanitaria del COVID-19. El objetivo principal de este artículo es analizar el poder predictivo de la edad, el sexo, la inteligencia emocional y la resiliencia respecto a los síntomas ansiosos, depresivos y el estrés en una muestra de población española. Método: Un total de 427 participantes españoles, con edades entre 18 y 83 años, fueron evaluados mediante instrumentos de autoinforme (TMMS-24; BRCS; BASS-21). Se utilizan modelos de regresión jerárquica (RLJ) y metodologías no lineales (modelos de análisis comparativo cualitativo o QCA). Resultados: Los RLJ mostraron que la atención emocional, la claridad y la reparación predecían significativamente la ansiedad, la depresión y el estrés. El género también desempeñó un papel significativo, ya que las mujeres mostraron mayores niveles de ansiedad y estrés. La edad y la resiliencia no fueron predictores significativos en la HRM. Sin embargo, los modelos QCA revelaron otras interacciones: la depresión estaba relacionada con una menor edad, la atención emocional alta y la claridad y la reparación emocional bajas. La ansiedad elevada se predijo por ser mujer, joven, con baja regulación emocional y alta atención emocional. El estrés elevado se asoció con ser mujer, tener baja resiliencia y una atención emocional elevada. Por el contrario, los niveles bajos de depresión, ansiedad y estrés se asociaron de forma consistente con una alta resiliencia y claridad y regulación emocional. Conclusiones: Consideramos que estos resultados son de gran interés para profundizar en el conocimiento de la interacción entre las variables objeto de estudio. De este modo, será posible diseñar intervenciones más eficaces que se beneficien del máximo conocimiento sobre el papel de estas variables.

Palabras clave:
Ansiedad, depresión, estrés, inteligencia emocional, resiliencia, características sociodemográficas

Abstract

Introduction: Anxiety, depression and stress are becoming more and more frequent, especially since the COVID-19 health crisis. The main objective of this study was to analyse the predictive power of age, gender, emotional intelligence, and resilience with respect to anxiety, depression, and stress-related symptoms in a Spanish population sample. Method: A total of 427 Spanish participants, between 18 and 83 years of age, were assessed through self-report instruments (TMMS-24; BRCS; BASS-21). Hierarchical regression models (HRM) and non-linear methodologies (qualitative comparative analysis or QCA models) are used. Results: The HRM showed that emotional attention, clarity, and repair significantly predicted anxiety, depression, and stress. Gender also played a significant role, with women showing higher levels of anxiety and stress. Age and resilience were not significant predictors in the HRM. However, the QCA models revealed more nuanced interactions: high depression was linked to young age, high emotional attention, and low emotional clarity and repair. High anxiety was predicted by being female, young, with low emotional regulation, and high emotional attention. High stress was associated with being female, low resilience, and high emotional attention. Conversely, low levels of depression, anxiety, and stress were consistently associated with high resilience and emotional clarity and regulation. Conclusions: We consider these results to be of great interest for gaining a deeper understanding of the interaction between the variables under study. In this way, it will be possible to design more effective interventions that benefit from the maximum knowledge regarding the role of these variables.

Keywords:
Anxiety, depression, stress, emotional intelligence, resilience, sociodemographic characteristics

Artículo Completo
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