Objetivo: establecer la relación entre ideación suicida, desesperanza, tríada cognitiva negativa y depresión, como evidencia del modelo cognitivo del riesgo suicida. Método: estudio empírico-analítico con diseño descriptivo, correlacional y comparativo. Las variables fueron medidas con los inventarios BDI-II, PANSI e ITC y la escala BHS. La muestra final estuvo constituida por 90 personas de ambos sexos, con una media de edad de 24,2 años (DT = 8,65 años) pertenecientes a diversos niveles socioeconómicos, con estudios universitarios, principalmente. Resultados: se encontraron correlaciones estadísticamente significativas entre ideación suicida, desesperanza, depresión y la tríada cognitiva negativa. Las diferencias fueron significativas entre los grupos depresivos y no depresivos, con grandes efectos para las tres variables cognitivas. Interpretación y conclusiones: estos resultados constituyen nueva evidencia del modelo cognitivo planteado acerca de la relación entre las variables depresión, tríada cognitiva negativa, ideación suicida y desesperanza, tal como se ha propuesto en distintas revisiones sobre cognición negativa y suicidio. Se analizaron las limitaciones del estudio en cuanto el reducido tamaño muestral y las diferencias entre sexos para depresión ante estresores específicos, y las variaciones por grupos de edades en el riesgo suicida de los jóvenes.

ABTRACT The construct validity in relation to the dimensionality or factor structure of the Beck Hopelessness Scale (BHS) has long been debated in psychometrics. Irrelevant variance due to item wording (method effects) can distort the factor structure, and recent studies have examined the method factor’s role in the factor structure of the BHS. However, the models used to control the method effects have severe limitations, and new models are needed. One such model is the correlated trait-correlated method minus one (CT-C(M-1)), which is a powerful approach that gives the trait factor an unambiguous meaning and prevents the anomalous results associated with fully symmetrical bifactor modeling. The present work compares the fit and factor structure of the CT-C(M-1) model to bifactor models proposed in previous literature and evaluates the criterion validity of the CT-C(M-1) model and its discriminatory capacity by taking suicidal ideation as the criterion variable. This study used a large and heterogeneous open mode online sample of Argentinian people (N = 2,164). The results indicated that the CT-C(M-1) model with positive words as referenced items achieves the most adequate factor structure. The factorial scores derived from this model demonstrate good predictive and discriminating capabilities.

The transdiagnostic model allows explaining and developing treatments based on the etiology and maintenance factors of comorbid psychopathologies; however, the relationships between its explanatory variables still require investigation. The purpose of this paper was to develop a structural model that includes these transdiagnostic variables: positive and negative affect, intolerance to uncertainty and anxiety sensitivity, in emotional problems such as anxiety and depression. Quantitative research was carried out with an explanatory cross-sectional design in which a structural network of relationships between constructs was defined using a diagram of paths and structural equations. 486 Colombians between the ages of 20 and 40 were intentionally randomly sampled. The following instruments were used to assess the fitting of the model: Positive and Negative Affect Scale (PANAS), Anxiety Sensitivity Index-3 (ASI-3), Intolerance of Uncertainty Scale (IUS), Beck Anxiety Inventory (BAI) and Beck Depression Inventory, second edition, Spanish version (BDI-II). The results showed significant correlations between transdiagnostic and symptomatic variables (depression and anxiety symptoms), using an adjusted model that explained the predictive capacity of anxiety sensitivity with anxiety symptoms, and intolerance of uncertainty with depression symptoms, both transdiagnostic variables associated with positive and negative affect as predictors of anxious and depressive emotional symptoms (R2 = .74).

Transdiagnostic causal variables have been identified that have allowed understanding the origin and maintenance of psychopathologies in parsimonious explanatory models of antisocial disorders. However, it is necessary to systematize the information published in the last decade. The aim of the study was to identify through a systematic review, the structural, emotional and cognitive transdiagnostic variables in antisocial disorders of adolescence and youth. Recommendations for systematic reviews and meta-extraction and analysis of information according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA), the Cochrane Collaboration and Campbell were followed. We found 19 articles from 110 reviewed documents. The results indicated that at a structural level there is a general psychopathological factor (psychopathy or externalizing), non-emotional callousness and impulsivity from behavioral inhibition and activation systems, and negative affect traits as base structures. In the emotional level, the study found a risk component from emotional dysregulation and experiential avoidance. In the cognitive level, a key role of anger-rumination and violent ideation as explanatory variables of antisocial disorders. We concluded that the interaction of these identified variables makes it possible to generate an evidence-based transdiagnostic model.

Reactive aggression is characterized by high emotional activation, impulsivity, and hostility, while proactive aggression presents a cold, instrumental, and planned strategy. The aim was to perform a psychometric analysis of the Reactive-Proactive Aggression Questionnaire [RPQ]. A non-probability sample of 502 people between 18 and 40 years old was formed, grouped by sex (n=297, 59.2% women and n=205, 40.8% men) and age (n = 224, 44.62% under 25 years old and n=278, 55.38% over 25 years old). The instruments were the RPQ, the Anger Rumination Scale (ARS), and an affective scale (PANAS) in printed format. In this instrumental psychometric study, we found that the RPQ fits better in a model of two factors interrelated with residual covariances (CFI = .928, RMSEA = .044), presenting significant correlations with negative affect and anger rumination, as evidence of validity of concurrent criterion, especially with reactive aggression (anger rumination r = .542, and negative affect r = .359). Also, the test was not invariant between sexes and ages, given that the best fit was in the male sex and those under 25 years of age (∆CFI < 0.01, ∆RMSEA < 0.015). We concluded that women and adults over the age of 25 have a different aggressive response profile. These findings represent new directions of research around the measurement of aggressive behavior and the development of gender differentiated interventions for adolescents and young adults.