Aggression, hostile attributions, status, and gender: a continued quest

"A 'Cool' Kid Wears a Brand, and Everyone's following Him" Hierarchal Social Status in Preadolescence: A New Developmental Perspective

Inequality in hierarchical social status, especially among socially excluded children, profoundly affects preadolescents. Historically viewed through a lens of psychopathology and moral deficiencies, it challenges the education system's approaches and interventions. This article introduces a developmental perspective, highlighting the hierarchical social status' role in shaping classroom cohesion, strength, and distinctiveness. This study's phenomenological, qualitative methodology aimed to gain preliminary insight into the children's perspectives. Drawing from 12 focus group discussions involving 140 latency-age (grade 5) children in Israel, it uniquely reveals the dynamic nature of hierarchical social status influenced by children's connections with the group. This dynamism promotes group unity, strengthens bonds, and prioritizes collective concerns, contributing to the development of a "social self" in the latency phase. Beyond theory, this study proposes innovative interventions to address social status disparities.

The impact of patients' hostile attribution bias on aggression in doctor-patient interactions

Background

Doctor-patient conflict is trending in social attention research. However, the existing literature rarely explores whether a patient's hostile attribution bias (HAB) in the doctor-patient interaction affects the aggression level against doctors.

Objective

This study aimed to explore the relationship and mechanism between different types of HAB and aggression in patients.

Method

In Study 1, 80 patients completed the word sentence association paradigm for hostility (WSAP-Hostility), and their explicit and implicit aggression levels were measured using the hot sauce paradigm and the single-category implicit association test (SC-IAT), respectively. In Study 2, 63 patients were randomly divided into an experimental (rejection) and a control group. Their state hostile attribution bias (SHAB) was activated through social rejection materials. They completed the SHAB questionnaire and anger expression inventory, and their explicit and implicit aggression levels were measured as in Study 1.

Results

In both studies, results indicated that patients' trait and state HAB were significantly related to explicit aggression but not implicit aggression. Hostile interpretation positively predicted explicit aggression, whereas benign interpretation had a negative predictive effect on explicit aggression. Patients' anger played a mediating role between SHAB and explicit aggression.

Conclusions

These findings suggest that patients' HAB affects explicit aggression toward doctors and anger plays a mediating role.

Emotion recognition profiles in clusters of youth based on levels of callous-unemotional traits and reactive and proactive aggression

Youth with disruptive behavior showing high callous-unemotional (CU) traits and proactive aggression are often assumed to exhibit distinct impairments in emotion recognition from those showing mainly reactive aggression. Yet, reactive and proactive aggression and CU traits may co-occur to varying degrees across individuals. We aimed to investigate emotion recognition in more homogeneous clusters based on these three dimensions. In a sample of 243 youth (149 with disruptive behavior problems and 94 controls) aged 8-18 years, we used model-based clustering on self-report measures of CU traits and reactive and proactive aggression and compared the resulting clusters on emotion recognition (accuracy and response bias) and working memory. In addition to a Low and Low-Moderate symptom cluster, we identified two high CU clusters. The CU-Reactive cluster showed high reactive and low-to-medium proactive aggression; the CU-Mixed cluster showed high reactive and proactive aggression. Both CU clusters showed impaired fear recognition and working memory, whereas the CU-Reactive cluster also showed impaired recognition of disgust and sadness, partly explained by poor working memory, as well as a response bias for anger and happiness. Our results confirm the importance of CU traits as a core dimension along which youth with disruptive behavior may be characterized, yet challenge the view that high CU traits are closely linked to high proactive aggression per se. Notably, distinct neurocognitive processes may play a role in youth with high CU traits and reactive aggression with lower versus higher proactive aggression.

Cognitive correlates of impulsive aggression in youth with pediatric bipolar disorder and bipolar offspring

BACKGROUND

Youth with bipolar disorder (BD) and offspring of individuals with BD (BD-OFF) are characterized by higher levels of impulsive and overt aggression. The cognitive basis underlying these aggressive behaviors are not clarified in this population. The aim of this study was to investigate the relationship between cognitive alterations and aggressive behavior in youth with BD and BD-OFF.

METHODS

Forty-two youth with BD, 17 BD-OFF and 57 healthy controls (HCs) were administered the Modified Overt Aggression Scale (MOAS), the Cambridge Neuropsychological Test Automated Battery (CANTAB), the Young Mania Rating Scale (YMRS) and the Children's Depression Rating Scale (CDRS). Multiple linear regression analyses were performed in the three groups separately. In each group, tests scores from the CANTAB were predictors. MOAS subscale scores and MOAS total scores were dependent variables. Results are corrected for age, IQ and mood state.

RESULTS

Both youth with BD and BD-OFF showed positive correlations between impairment in executive functions and levels of verbal aggression. In youth with BD, altered processing of either positive and negative stimuli positively correlated with MOAS total scores, whereas in BD-OFF, such relationship was negative.

CONCLUSIONS

Impulsive aggressive behaviors in youth with BD arise from a combination of altered affective processing and executive dysfunction. The negative relationship between affective processing and aggression in BD-OFF suggested the presence of possible mechanisms of resilience in this population.

Is the association between childhood maltreatment and aggressive behavior mediated by hostile attribution bias in women? A discordant twin and sibling study

Understanding the mechanisms behind aggressive behavior (AGG) is vital so that effective prevention and intervention strategies can be developed. Maltreated children are hypothesized to be prone to social information processing biases, such as hostile attribution bias (HAB), which, in turn, may increase the likelihood of behaving aggressively. The first aim of the present study was to replicate findings regarding associations between childhood maltreatment (CM), HAB, and aggression in a population-based sample of Finnish female twins and their sisters (N = 2,167). However, these associations might not be causal but instead confounded by familial factors, shared between the variables. The second aim was, thus, to test the associations when potential confounding by familial (genetic or common environmental) effects were controlled for using a multilevel discordant twin and sibling design within (a) 379 pairs of twins (n_pairs  = 239) or siblings (n_pairs  = 140), and (b) within the 131 monozygotic (MZ) twin pairs. Consistent with previous studies, HAB mediated the association between CM and AGG when familial confounding was uncontrolled. No support was found for the mediation when controlling for familial confounding. Between-pair associations were found between CM and AGG, and between CM and HAB. In addition, within-pair associations were found between HAB and AGG, and between CM and AGG, however, these were nonsignificant in the discordant MZ analysis, offering the most stringent control of familial confounding. The results indicate the necessity of taking familial confounding into account when investigating the development of AGG.

Sexual objectification increases retaliatory aggression

Two experiments were conducted to investigate whether sexual objectification increases retaliatory aggression serially through increased vulnerability and hostile intent attributions. Female participants were first exposed to the sexual objectification manipulation by receiving compliments from an online male partner (Experiment 1) or imagining a workplace objectification experience (Experiment 2). Afterward, their vulnerability and hostile intent attributions were assessed. Finally, they were given an opportunity to behave aggressively toward the source of objectification. The results of both experiments indicated that, compared with their counterparts in the control conditions, participants in the sexual objectification condition reported higher levels of vulnerability, hostile intent attributions, and aggression. Moreover, vulnerability and hostile intent attributions serially mediated the effect of sexual objectification on aggression. These findings highlight the critical influence of vulnerability and hostile intent attributions in understanding how sexual objectification increases aggression.

The Computations of hostile biases (CHB) model: Grounding hostility biases in a unified cognitive framework

Our behavior is partly a product of our perception of the world, and aggressive individuals have been found to have 'hostility biases' in their perception and interpretation of social information. Four types of hostility biases can be distinguished: the hostile attribution, interpretation, expectation, and perception bias. Such low-level biases are believed to have a profound influence on decision-making, and possibly also increase the likelihood of engaging in aggressive acts. The current review systematically examined extant research on the four types of hostility bias, with a particular focus on the associations between each type of hostility bias and aggressive behavior. The results confirmed the robust association between hostility biases and aggressive behavior. However, it is still unknown how exactly hostility biases are acquired. This is also caused by a tendency to study hostility biases separately, as if they are non-interacting phenomena. Another issue is that current approaches cannot directly quantify the latent cognitive processes pertaining to the hostility biases, thus creating an explanatory gap. To fill this gap, we embedded the results of the systematic review in a state-of-the-art computational framework, which provides a novel mechanistic account with testable predictions.

Hostile Intent Attribution and Aggressive Behavior in Children Revisited: A Meta-Analysis

To test specific hypotheses about the relation between hostile intent attribution (HIA) and children’s aggressive behavior, a multilevel meta‐analysis was conducted on 111 studies with 219 effect sizes and 29.272 participants. A positive association between HIA and aggression was found, but effect sizes varied widely between studies. Results suggested that HIA is a general disposition guiding behavior across a broad variety of contexts, whereas the strength of the relation between HIA and aggression depends on the level of emotional engagement. The relation is stronger for more reliable HIA measures, but is not stronger for reactive aggression or co‐morbid attention‐deficit hyperactivity disorder than for aggression in general. The importance of understanding specific moderators of effect size for theory development is discussed.

Is bad intent negligible? Linking victim justice sensitivity, hostile attribution bias, and aggression

The hostile attribution bias (HAB) is a well-established risk factor for aggression. It is considered part of the suspicious mindset that may cause highly victim-justice sensitive individuals to behave uncooperatively. Thus, links of victim justice sensitivity (JS) with negative behavior, such as aggression, may be better explained by HAB. The present study tested this hypothesis in N = 279 German adolescents who rated their JS, HAB, and physical, relational, verbal, reactive, and proactive aggression. Victim JS predicted physical, relational, verbal, reactive, and proactive aggression when HAB was controlled. HAB only predicted physical and proactive aggression. There were no moderator effects. Injustice seems an important reason for aggression irrespective of whether or not it is intentionally caused, particularly among those high in victim JS. Thus, victim JS should be considered as a potential important risk factor for aggression and receive more attention by research on aggression and preventive efforts.

Interrelations of Justice, Rejection, Provocation, and Moral Disgust Sensitivity and Their Links with the Hostile Attribution Bias, Trait Anger, and Aggression

Several personality dispositions with common features capturing sensitivities to negative social cues have recently been introduced into psychological research. To date, however, little is known about their interrelations, their conjoint effects on behavior, or their interplay with other risk factors. We asked N = 349 adults from Germany to rate their justice, rejection, moral disgust, and provocation sensitivity, hostile attribution bias, trait anger, and forms and functions of aggression. The sensitivity measures were mostly positively correlated; particularly those with an egoistic focus, such as victim justice, rejection, and provocation sensitivity, hostile attributions and trait anger as well as those with an altruistic focus, such as observer justice, perpetrator justice, and moral disgust sensitivity. The sensitivity measures had independent and differential effects on forms and functions of aggression when considered simultaneously and when controlling for hostile attributions and anger. They could not be integrated into a single factor of interpersonal sensitivity or reduced to other well-known risk factors for aggression. The sensitivity measures, therefore, require consideration in predicting and preventing aggression.