Background: Emotional dependency in couples involves excessive and dysfunctional emotional bonding. Aims: This work aimed to determine the relationship between violence, jealousy, and ambivalent sexism according to emotional dependence in adolescent student couples. Methods: A cross-sectional study. A total of 234 Spanish adolescents (69.7% female, M_age = 16.77, SD = 1.11) participated in the study. Participants completed an ad hoc interview and several validated tests (Partner’s Emotional Dependency Scale, the Ambivalent Sexism Inventory, the Jealousy subscale of the Love Addiction Scale, the Conflict in Adolescent Dating Relationship Inventory). Results: Of the sample, 40.6% indicated high emotional dependence and 14.5% extreme emotional dependence. Differences were observed according to gender (t = 3.92, p < 0.001), with adolescent boys scoring higher than adolescent girls. Extremely emotionally dependent participants showed differences in both violence (sexual, relational, verbal, and physical) and ambivalent sexism (hostile, benevolent) and jealousy scores. Generating a predictive model of emotional dependence, with the variable jealousy and ambivalent sexism as predictor variables, it was found that jealousy has the greatest predictive and major explanatory capacity (R² = 0.297); with an R² = 0.334. However, the contribution of the ASI-Hostile subscale was not significant when the ASI-Benevolent subscale was introduced into the model. Further, in a second model where the scores on jealousy and the couple conflict inventory’s subscales were considered as predictors, are again jealousy makes the greatest predictive contribution and shows the greatest explanatory capacity (R² = 0.296). It was found that the contribution is significant only for the predictive capacity of Sexual Violence and Relational Violence. In this sense, the educational context is one of the propitious places to detect and correct behaviors that may be indicative of potentially unbalanced and unbalancing relationships for adolescents.

Background: Personality disorders show strong comorbidities with alcohol-use disorder (AUD), and several personality traits have been found to be more frequent in people with AUD. This study analyzes which personality facets of those proposed in the Alternative Model of Personality Disorder (AMPD) of DSM-5 are associated with the diagnostic criteria of AUD. Methods: The sample was composed of 742 participants randomly selected from the Spanish population, and 243 patients attending mental health services. All participants were of legal age and signed an informed consent form. The instruments were administered to the community sample in an online format, and a psychologist conducted individual face-to-face interviews with the patients. AMPD facets were assessed through the Personality Inventory of DSM-5 Short-Form, and the AUD criteria through the Substance Dependence Severity Scale. A network analysis was applied to identify the personality facets mostly associated with the AUD criteria. Results: The network analysis showed the existence of three communities, grouping the AUD criteria, externalizing spectrum facets, and internalizing spectrum facets, respectively. Risk taking, callousness, and irresponsibility facets showed the strongest association with the AUD criteria, bridging externalizing personality traits with AUD criteria. Conclusions: The facets of risk taking, callousness, and irresponsibility should be accurately assessed in patients with AUD to differentiate between a possible primary personality disorder and a syndrome induced by alcohol addiction.

The influence of music heard at different tempos is analyzed during the execution of a dart-throwing task. The sample consisted of 56 female university students (Mean age = 23.38, SD = 6.773). The participants were randomly assigned to GC (group control without music; n = 18), GS (group with slow-paced music at a tempo of 60 BPM; n = 19) and GF (group with fast-paced music at a tempo of 105 BPM; n = 19). All participants performed a dart-throwing task in two phases. Analysis of the scores obtained during Phase 1 and Phase 2 of dart throwing (examining both between-group differences and within-group differences, i.e., changes in scores from Phase 1 to Phase 2 using a mixed factorial ANOVA) revealed no differences in dart-throwing scores. There were, however, differences in execution time, where the participants in GS needed more time to complete the task than those in GF (F_(2,55) = 4.426, p = 0.017) with a large effect size (ŋ²_p = 0.143), although neither of these groups differed from GC. The results are discussed in terms of the role of music in precision tasks and the synchronization of the task with the pace of the music.

Background: The Scale of Externalizing Problem Behaviors in Adults (SEPBA) was developed as a hybrid psychometric instrument designed to assess both dimensional traits and categorical diagnoses associated with externalizing psychopathology. Based on an integrative operational framework drawing on Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the Hierarchical Taxonomy of Psychopathology (HiTOP) model, the SEPBA assesses 15 traits/facets and 6 disorders within the domains of antagonism and disinhibition. Methods: The present study analyzed the psychometric properties of the SEPBA in a combined community and prisoner sample (n = 922). The final version of the SEPBA included 144 items rated on a 4-point Likert scale. Reliability (α, ω), item discrimination, convergent/discriminant validity, confirmatory factor analyses, and gender measurement invariance were examined. Results: The results indicated adequate item discrimination and internal consistency across all scales. Confirmatory factor analyses supported the unidimensionality of the individual scales and the hypothesized hierarchical organization of traits and facets. Gender invariance of the measure was demonstrated. In addition, evidence of convergent and discriminant validity was provided through correlations with external measures. Conclusion: The findings support the SEPBA as a suitable assessment instrument. Its hybrid structure offers an integrative approach to transdiagnostic assessment, enhancing both the clinical utility of categorical diagnoses and the empirical applicability of dimensional profiles for assessing externalizing behaviors in adults.

Suicidal behaviors constitute a major global public health problem, with sexual minority groups showing a higher risk of engaging in such behaviors. This study aimed to analyze the influence of hopelessness, life satisfaction, and spirituality on suicide risk according to self-reported sexual orientation. A total of 532 individuals participated (M = 31.15 years, SD = 12.002). Of these, 39.8% identified as heterosexual, 34.2% as gay or lesbian individuals, and 25.9% as bisexual. Participants were assessed using the Plutchik Suicide Risk Scale, Beck’s Hopelessness Scale, the Beliefs and Values Scale, and Diener’s Satisfaction with Life Scale. The results indicate that 52.9% of bisexual participants and 41.2% of gay and lesbian participants presented a high suicide risk, compared with 15.6% of heterosexual participants. Individuals with a high suicide risk reported higher levels of hopelessness (p < 0.001), lower levels of life satisfaction (p < 0.001), and similar levels of spirituality. The proportion of variance explained in suicide risk was 42.8% among bisexual participants, 34.2% among gay and lesbian participants, and 29.9% among heterosexual participants. Hopelessness predicted a similar proportion of across groups (β = 0.446 in heterosexuals, β = 0.447 in gays and lesbians, and β = 0.457 in bisexuals). Life satisfaction showed a protective predictive effect, with β = −0.241 in bisexual participants, followed by gay and lesbian participants (β = −0.186) and heterosexual participants (β = −0.137). Spirituality was significant only among gay and lesbian participants (β = 0.133) and bisexual participants (β = 0.214). Sexual minority groups exhibited a higher risk of suicide, with life satisfaction—but not spirituality—acting as a protective factor.