Introduction: Emotional intelligence (EI) is a psychological protective factor that can improve subjective well‐being (WB) in adolescents. This study aims to establish the overall relationship between different EI models (performance‐based ability model, self‐report ability model, and self‐report mixed model) and subjective WB in adolescents, analyze the affective WB and cognitive WB components, and examine the moderating effect of EI models on both types of subjective WB.Method: We searched PsycINFO and WOS databases. Eligible studies reported an association between EI and subjective WB in adolescents aged 10–19 years using instruments that directly measure subjective WB. In addition, two meta‐analyses were conducted, one for the relationship between EI and affective WB and the other for EI and cognitive WB.Results: A total of 41 studies were included, of which 37 were pooled in the meta‐analyses. We found a significant positive relationship between EI and affective WB (estimated effect size = 0.35) and between EI and cognitive WB (estimated effect size = 0.27). Regarding EI models, self‐report ability showed an estimated effect size of 0.33 for affective WB and 0.27 for cognitive WB. For the self‐report mixed model, we obtained an estimated effect size of 0.42 for affective WB and 0.37 for cognitive WB.Conclusions: Establishing a quantitative relationship between EI and subjective WB makes it possible to implement clinical and educational prevention measures. Introducing EI training in educational and clinical settings can increase subjective WB, significantly impacting the prevention of emotional disorders in adolescents.

Adolescent aggression is a global public health with long-lasting and costly emotional, social, and economic consequences, and it is of vital importance to identify those variables that can reduce these behaviors in this population. Therefore, there is a need to establish the protective factors of aggressive behavior in adolescence. While some research has demonstrated the relationship between emotional intelligence (EI) and various aggressive responses in adolescence, indicating that EI—or the ability to perceive, use, understand, and regulate emotions—could be considered a protective factor for the development of aggressive behavior in adolescence, the strength of this effect is not clear. The aim of the present study was to conduct a systematic review of the literature concerning the relationship between aggressive behavior and EI in adolescents and provide a reliable estimate of the relationship between both constructs through a meta-analysis. For this purpose, we searched for relevant articles in English and Spanish in Medline, PsycINFO, and Scopus, obtaining 17 selectable articles based on the search terms used in research in the adolescent population. These studies provide scientific evidence of the relationship between the level of EI assessed from the three theoretical models of EI (performance-based ability model, self-report ability model, and self-report mixed model) and various aggressive responses, showing that adolescents with higher levels of EI show less aggressive behavior. Implications for interventions and guidelines for future research are discussed.

Impulsivity is tightly linked to addiction. However, there are several pathways by means of which impulsive individuals are more prone to become addicts, or to suffer an addiction more intensely and for a longer period. One of those pathways involves an inadequate appraisal or regulation of positive and negative emotions, leading to lack of control over hazardous behaviors, and inappropriate decisions. In the present work, we assessed cocaine-dependent individuals (CDI; n = 20), pathological gamblers (PG; n = 21), and healthy controls (HC; n = 23) in trait impulsivity measures (UPPS-P model's dimensions), and decision-making tasks (Go/No-go; delay-discounting task). During the Go/No-go task, electroencephalographic (EEG) activity was recorded, and Go/No-go stimuli-evoked potentials (ERP) were extracted. Theory-driven ERP analyses focused on the No-go > Go difference in the N2 ERP. Our results show that negative urgency is one of the several psychological features that distinguish addicts from HC. Nevertheless, among the dimensions of trait impulsivity, negative urgency is unique at independently covarying with gambling over-pathologization in the PG sample. Cocaine-dependent individuals performed more poorly than gamblers in the Go/No-go task, and showed abnormal Go/No-go stimuli-evoked potentials. The difference between the No-go stimulus-evoked N2, and the Go one was attenuated by severity and intensity of chronic cocaine use. Emotional dimensions of impulsivity, however, did not influence Go/No-go performance.

The Stimulus Preceding Negativity (SPN) is a non-motor slow cortical potential elicited by temporally predictable stimuli, customarily interpreted as a physiological index of expectancy. Its origin would be the brain activity responsible for generating the anticipatory mental representation of an expected upcoming event. The SPN manifests itself as a slow cortical potential with negative slope, growing in amplitude as the stimulus approximates. The uncertainty hypothesis we present here postulates that the SPN is linked to control-related areas in the prefrontal cortex that become more active before the occurrence of an upcoming outcome perceived as uncertain. We tested the uncertainty hypothesis by using a repeated measures design in a Human Contingency Learning task with two levels of uncertainty. In the high uncertainty condition, the outcome is unpredictable. In the mid uncertainty condition, the outcome can be learnt to be predicted in 75% of the trials. Our experiment shows that the Stimulus Preceding Negativity is larger for probabilistically unpredictable (uncertain) outcomes than for probabilistically predictable ones. sLoreta estimations of the brain activity preceding the outcome suggest that prefrontal and parietal areas can be involved in its generation. Prefrontal sites activation (Anterior Cingulate and Dorsolateral Prefrontal Cortex) seems to be related to the degree of uncertainty. Activation in posterior parietal areas, however, does not correlates with uncertainty. We suggest that the Stimulus Preceding Negativity reflects the attempt to predict the outcome, when posterior brain areas fail to generate a stable expectancy. Uncertainty is thus conceptualized, not just as the absence of learned expectancy, but as a state with psychological and physiological entity.

It has long been thought that emotional intelligence (EI) involves skillful emotion regulation, but surprisingly little is known about the precise links between EI and emotion regulation. To address this gap in the literature, we examined the relation between EI—operationalised as an ability—and the use of two common emotion regulation strategies—cognitive reappraisal and expressive suppression. Seven hundred and twelve participants from a community sample in Spain were assessed on ability EI (using the MSCEIT) and emotion regulation (using the ERQ). Findings revealed that EI ability was positively associated with cognitive reappraisal and negatively associated with expressive suppression. These relationships were moderated by gender and age. The strength of the association between EI and cognitive reappraisal increased with age for men, while this strength decreased with age for women. Conversely, the strength of the association between EI and suppression decreased with age for men, but increased with age for women. These findings confirm the expectation that EI is associated with greater use of generally adaptive forms of emotion regulation (reappraisal), and lesser use of generally maladaptive forms of emotion regulation (suppression), although effect sizes were quite modest. Observed differences in the strength of associations between EI and emotion regulation may be the result of gender differences in the development of emotional skills along with cultural changes in emotional education and social norms.