The difficulty in studying the relationship between stress and emotional regulation is due to the need to contemplate a dynamic perspective that analyzes the moderating role of stress. In fact, stress involves different phases or stages, and the neurocognitive processes involved in emotion regulation differ significantly between these phases. The period of anticipation of stressful events can be fundamental to understand the process of stress regulation; however, surprisingly few works have analyzed the differential activation of brain networks involved in cognitive regulation during the phases of stress and recovery. Taking this into consideration, within this study we propose to analyze in an integrated way the psychological and neurobiological processes during the phase of stress and recovery, with the aim of improving our understanding of the mechanisms that underlie successful and unsuccessful stress regulation. We consider that from the present review we contribute to achieve a better understanding of the mechanisms underlying successful and unsuccessful stress regulation would contribute to the improvement of prevention and treatment interventions for mental disorders.

Suicide constitutes a public health problem that has a significant economic, social and psychological impact on a global scale. Recently, the American Psychological Association has indicated that suicide prevention should be a public health priority. Suicidal ideation appears as a key variable in suicide prevention. The objective of this research was to verify the adjustment of an explanatory model for suicidal ideation, which considers the effects of cognitive emotion regulation strategies, affectivity and hopelessness. An open mode on-line sample of 2,166 Argentine participants was used and a path analysis was carried out. The results make it possible to conclude that the model presents an optimal fit (χ² = .10, p = .75, CFI = .99, RMSEA = .01) and predicts 42% of suicidal thoughts. The model proves to be invariant based on age and gender. In conclusion, there is an importance of reducing the use of automatic strategies, such as repetitive negative thoughts of ruminative type, and increasing the use of more controlled strategies, such as reinterpretation or planning.

Studies have examined the relationship between positive and negative emotions with self-efficacy, but we consider that some theoretical and methodological aspects are missing. In this study, the difficulties in participants’ emotional regulation were included as a co-variable. We analyzed factors undergoing the absence of affective congruity. An experimental design taking the type of induced emotions (positive vs. negative) as independent variable was carried out. The manipulation of this variable was effected with the combined exhibition of movie/music. The results suggest that the induction of positive and negative mood states increases and decreases respectively, the levels of self-efficacy. This was only observed in participants in a condition of intense or raised mood and in atypical or slightly accurate items of character. We concluded that the induction of positive and negative mood states increases and decreases respectively the levels of academic self-efficacy in college students and that the difficulty in the emotional regulation modulates the effect of inductions of mood states

Introduction: The factor structure of the Positive and Negative Affective Schedule (PANAS) is still a topic of debate. There are several reasons why using Exploratory Graph Analysis (EGA) for scale validation is advantageous and can help understand and resolve conflicting results in the factor analytic literature.Objective: The main objective of the present study was to advance the knowledge regarding the factor structure underlying the PANAS scores by utilizing the different functionalities of the EGA method. EGA was used to (1) estimate the dimensionality of the PANAS scores, (2) establish the stability of the dimensionality estimate and of the item assignments into the dimensions, and (3) assess the impact of potential redundancies across item pairs on the dimensionality and structure of the PANAS scores.Method: This assessment was carried out across two studies that included two large samples of participants.Results and Conclusion: In sum, the results are consistent with a two‐factor oblique structure.

Bifactor models have gained increasing popularity in the literature concerned with personality, psychopathology and assessment. Empirical studies using bifactor analysis generally judge the estimated model using SEM model fit indices, which may lead to erroneous interpretations and conclusions. To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions.