Operational definitions and measurement of externalizing behavior problems: An integrative review including research models and clinical diagnostic systems.

Measurement of externalizing disorders such as antisocial disorders, attention-deficit/hyperactivity disorder or borderline disorder have relevant implications for the daily lives of people with these disorders. While the Diagnostic and Statistical Manual of Mental Disorders (DSM) and the International Classification of Diseases (ICD) have provided the diagnostic framework for decades, recent dimensional frameworks question the categorical approach of psychopathology, inherent in traditional nosotaxies. Tests and instruments develop under the DSM or ICD framework preferentially adopt this categorical approach, providing diagnostic labels. In contrast, dimensional measurement instruments provide an individualized profile for the domains that comprise the externalizing spectrum, but are less widely used in practice. Current paper aims to review the operational definitions of externalizing disorders defined under these different frameworks, revise the different measurement alternatives existing, and provide an integrative operational definition. First, an analysis of the operational definition of externalizing disorders among the DSM/ICD diagnostic systems and the recent Hierarchical Taxonomy of Psychopathology (HiTOP) model is carried out. Then, in order to analyze the coverage of operational definitions found, a description of measurement instruments among each conceptualization is provided. Three phases in the development of the ICD and DSM diagnosis systems can be observed with direct implications for measurement. ICD and DSM versions have progressively introduced systematicity, providing more detailed descriptions of diagnostic criteria and categories that ease the measurement instrument development. However, it is questioned whether the DSM/ICD systems adequately modelize externalizing disorders, and therefore their measurement. More recent theoretical approaches, such as the HiTOP model seek to overcome some of the criticism raised towards the classification systems. Nevertheless, several issues concerning this model raise mesasurement challenges. A revision of the instruments underneath each approach shows incomplete coverage of externalizing disorders among the existing instruments. Efforts to bring nosotaxies together with other theoretical models of psychopathology and personality are still needed. The integrative operational definition of externalizing disorders provided may help to gather clinical practice and research.

Bridge Nodes between Personality Traits and Alcohol-Use Disorder Criteria: The Relevance of Externalizing Traits of Risk Taking, Callousness, and Irresponsibility.

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.

Jealousy, Violence, and Sexual Ambivalence in Adolescent Students According to Emotional Dependency in the Couple Relationship.

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, Mage = 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.

Influence of Music on Closed Motor Skills: A Controlled Study with Novice Female Dart-Throwers.

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 (ŋ2p = 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.