Objectives: The Dark Triad traits (i.e., narcissism, psychopathy, Machiavellianism) capture individual differences in aversive personality to complement work on other taxonomies, such as the Big Five traits. However, the literature on the Dark Triad traits relies mostly on samples from English-speaking (i.e., Westernized) countries. We broadened the scope of this literature by sampling from a wider array of countries. Method: We drew on data from 49 countries (N = 11,723; 65.8% female; Age Mean = 21.53) to examine how an extensive net of country-level variables in economic status (e.g., Human Development Index), social relations (e.g., gender equality), political orientations (e.g., democracy), and cultural values (e.g., embeddedness) relate to country-level rates of the Dark Triad traits, as well as variance in the magnitude of sex differences in them.
The COVID-19 pandemic has gravely impacted Latin America. A model was tested that evaluated the contribution of socio-demographic factors and fear of COVID-19 on anxiety and depression in samples of residents in seven Latin American countries (Argentina, Ecuador, Mexico, Paraguay, Uruguay, Colombia, and El Salvador). A total of 4,881 individuals, selected by convenience sampling, participated in the study. Moderate and severe levels of depressive symptoms and anxiety were identified, as well as a moderate average level of fear of COVID-19. In addition, it was observed that about a quarter of the participants presented symptoms of generalized anxiety disorder and a major depressive episode. Fear of COVID-19 significantly and positively predicted anxiety and depressive symptoms, whereas the effects of socio-demographic variables are generally low [χ2(287) = 5936.96, p < 0.001; RMSEA = 0.064 [0.062, 0.065]; CFI = 0.947; and SRMR = 0.050]. This suggests the need for the implementation of preventive actions in the general population of these countries, with the aim of reducing the prevalence of depressive, anxious and fearful symptoms related to COVID-19.
Satisfacción con la vida, bienestar psicológico y social como predictores de la salud mental en ecuatorianosResumen. Se indaga sobre la predictibilidad de la Satisfacción con la vida y el Bienestar Psicológico y Social en la Salud Mental en una muestra de estudiantes universitarios del Ecuador a través de un análisis descriptivo de predicción, comparativo por sexo y universidad. Es un estudio de corte transversal en el que participaron 982 estudiantes de tres universidades de Cuenca y Ambato, en Ecuador. Se encontró que el bienestar subjetivo, psicológico y social predicen el 55.1% de explicación de la varianza de Salud Mental. Además, existen diferencias por género en la Satisfacción con la vida (t = -1.98; p < .05) y el Bienestar Social (t = -2.34; p < .05), en este último las mujeres puntúan más que los hombres. También hay diferencias por el tipo de universidad en la Satisfacción con la vida (t = -3.11; p < .01), el Bienestar Psicológico (t = -3.21; p < .01) y la Salud Mental (t = -2.22; p < .05) con mejores puntajes en la universidad cofinanciada. Con estos elementos, se concluye que los distintos indicadores del bienestar individual predicen considerablemente la salud mental.Palabras clave. Bienestar, predictibilidad, salud mental, satisfacción.
Abstract. The predictability of Satisfaction of the Life and the Psychological and Social well-being inMental Health in a sample of university students from Ecuador is explored through a descriptive analysis of prediction, comparative by sex and university; and of cross section in which 982 students participated from three universities from Cuenca and Ambato in Ecuador. It was found that subjective, psychological and social well-being predict 55.1% of explination of the Mental Health variance. Further, there are differences by gender in Satisfaction with life (t = -1.98; p < .05) and Social Welfare (t = -2.34; p < .05) in which women score more than men; and by the type of university in the Satisfaction with the life (t = -3.11; p < .01), the Psychological Well-being (t = -3.21; p < .01) and the Mental Health (t = -2.22; p < .05) with better scores in the co-financed university. With these elements, it is concluded that the different indicators of individual wellbeing significantly predict mental health.
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