Are Proactive and Reactive Aggression Meaningful Distinctions in Adolescents? A Variable- and Person-Based Approach.

This study was designed to examine whether proactive and reactive aggression are meaningful distinctions at the variable- and person-based level, and to determine their associated behavioral profiles. Data from 587 adolescents (mean age 15.6; 71.6 % male) from clinical samples of four different sites with differing levels of aggression problems were analyzed. A multi-level Latent Class Analysis (LCA) was conducted to identify classes of individuals (person-based) with similar aggression profiles based on factor scores (variable-based) of the Reactive Proactive Questionnaire (RPQ) scored by self-report. Associations were examined between aggression factors and classes, and externalizing and internalizing problem behavior scales by parent report (CBCL) and self-report (YSR). Factor-analyses yielded a three factor solution: 1) proactive aggression, 2) reactive aggression due to internal frustration, and 3) reactive aggression due to external provocation. All three factors showed moderate to high correlations. Four classes were detected that mainly differed quantitatively (no 'proactive-only' class present), yet also qualitatively when age was taken into account, with reactive aggression becoming more severe with age in the highest affected class yet diminishing with age in the other classes. Findings were robust across the four samples. Multiple regression analyses showed that 'reactive aggression due to internal frustration' was the strongest predictor of YSR and CBCL internalizing problems. However, results showed moderate to high overlap between all three factors. Aggressive behavior can be distinguished psychometrically into three factors in a clinical sample, with some differential associations. However, the clinical relevance of these findings is challenged by the person-based analysis showing proactive and reactive aggression are mainly driven by aggression severity.

One-year follow up of cardiac anxiety after a myocardial infarction: a latent class analysis.

INTRODUCTION: Longitudinal elevated depressive symptom scores are associated with a less favorable cardiac outcome. Although anxiety has received less attention, meta-analysis suggests that high baseline levels of general anxiety might worsen cardiac outcome. The objective of this study was to explore the longitudinal course of cardiac anxiety after a myocardial infarction (MI). METHODS: The Cardiac Anxiety Questionnaire (CAQ) was administered to 194 patients hospitalized for MI after admission, and one, three, six and twelve months after discharge. Latent class growth analysis (LCGA) was performed to identify groups based on cardiac anxiety course. Between group differences were checked on relevant socio-demographic, cardiac and psychiatric variables. RESULTS: LCGA identified three groups with stable CAQ levels over time, indicative of high (7.7%), intermediate (45.4%) and low (30.4%) levels of cardiac anxiety, respectively. A fourth group (16.5%) reported high levels of cardiac anxiety that decreased over time. Between group differences were of particular interest for the two subgroups that started high in cardiac anxiety, since these may differentiate patients with spontaneous remission from those who might be in need of treatment. Patients in whom cardiac anxiety persisted were less often employed, had more diabetes mellitus, a history of acute coronary syndrome, depressive symptoms, anxiety and avoidance at baseline and a lower quality of life at follow-up. CONCLUSION: This first study addressing cardiac anxiety after an MI identified four trajectories. Future studies should focus on cardiac outcome and treatment strategies for cardiac anxiety in the subgroup with persistent high anxiety levels.