Targeting hostile attributions in inclusive schools through online cognitive bias modification: A randomised experiment

The impact of cognitive bias modification of interpretation on hostile attribution bias, reactive aggression and neural mechanisms

Hostile Attribution Bias (HAB) has been demonstrated to exert adverse impacts on reactive aggression (RA). Consequently, it is essential to investigate its prevention strategies and the brain-level alterations induced by these strategies. Cognitive Bias Modification of Interpretation (CBMI) has exhibited potential in modifying HAB. The current objective of this research is to explore its influence on individuals' hostile attributions bias and reactive aggression, and conduct an exploratory study on the underlying brain change mechanisms associated with behavioral alterations. The college students with high HAB and aggression levels were randomly assigned to a trained group and a control group. The trained group participated in a one-month-long CBM-I program, whereas the control group completed one-month-long reading tasks. The results indicated significant HAB and reactive aggression reductions within the trained group. In the trained group, the resting-state functional connectivity (rs-FC) between the anterior medial prefrontal cortex (amPFC) and the calcarine exhibited a remarkable increase, and this augmentation was positively correlated with the decrease in HAB. In contrast, no significant changes were detected in the control group after training. Our results suggest that the CBM-I has an effect on ameliorating individuals' hostile attributions bias and reactive aggression and has exploratorily uncovered the corresponding changes at the brain level.

The mediating role of hostile attribution bias in social exclusion affecting aggressive behavior

Aggression is one of the public social issues affecting campus harmony and stability, and social exclusion is an important interpersonal contextual factor among many factors affecting aggression. However, studies examining the influence of social exclusion on aggression and its mediating mechanism are not systematic enough. Based on the general aggression model (GAM), we intend to explore the role of hostile attribution bias (HAB) in both trait and state levels of social exclusion, which leads to aggression through a combination of questionnaire and experimental methods. Study 1 surveyed 388 current high school students (Mage = 16.09, SD = 1.01) and found that HAB mediates the relationship between long-term social exclusion (trait level) and aggression tendency. Study 2 experimented with 181 high school students (Mage = 16.95, SD = 1.13) to examine whether short-term social exclusion (state level) after initiating the Cyberball paradigm could still influence aggressive behavior through the mediating role of HAB. Results found that the mediating role of HAB still holds. The findings of the study further enrich the GAM and have important implications for a more targeted approach to aggression prevention and intervention.

Cognitive bias modification of interpretations for anxiety and depression in children and adolescents: A meta-analysis

Background

Evidence suggests that cognitive bias modification of interpretations (CBM-I) is effective in modifying interpretation biases and has a small effect on reducing anxiety in children and adolescents. However, most evidence to date is based on studies which report anxiety or general distress using ad-hoc Likert-type or Visual Analogue Scales, which are useful but do not reliably index symptoms of clinical importance. This meta-analysis aimed to establish the effects of CBM-I for children and adolescents on both anxiety and depression using psychometrically validated symptom measures, as well as state negative affect and negative and positive interpretation bias.

Methods

We identified studies through a systematic search. To be eligible for inclusion, studies needed to target interpretation biases, not combine CBM-I with another intervention, randomly allocate participants to CBM-I or a control condition, assess a mental health outcome (i.e., anxiety or depression symptoms using validated measures or state measures of negative affect) and/or interpretation bias and have a mean age less than 18 years.

Results

We identified 36 studies for inclusion in the meta-analysis. CBM-I had a small and non-significant unadjusted effect on anxiety symptoms (g = 0.16), no effect on depression symptoms (g = -0.03), and small and non-significant unadjusted effects on state negative affect both at post-training (g = 0.16) and following a stressor task (g = 0.23). In line with previous findings, CBM-I had moderate to large unadjusted effects on negative and positive interpretations (g = 0.78 and g = 0.52). No significant moderators were identified.

Conclusions

CBM-I is effective at modifying interpretation bias, however there were no effects on mental health outcomes. The substantial variability across studies and paucity of studies using validated symptom measures highlight the need to establish randomized controlled trial protocols that evaluate CBM-I in clinical youth samples to determine its future as a clinical intervention.

A systematic review with meta-analysis of cognitive bias modification interventions for anger and aggression

Aggression and anger are associated with interpretation and attention biases. Such biases have become treatment targets for anger and aggressive behavior in cognitive bias modification (CBM) interventions. Several studies have evaluated the efficacy of CBM for the treatment of anger and aggressive behavior, with inconsistent results. The present study meta-analytically analyzed 29 randomized controlled trial studies (N = 2334) published in EBSCOhost and PubMed between March 2013 and March 2023 assessing the efficacy of CBM for anger and/or aggression. Included studies delivered CBMs that addressed either attention biases, interpretation biases, or both. Risk of publication bias and potential moderating effects of several participant-, treatment- and study-related factors were assessed. CBM significantly outperformed control conditions in the treatment of aggression (Hedge's G = -0.23, 95% CI [-0.35, -0.11], p < .001) and anger (Hedge's G = -0.18, 95% CI [-0.28, -0.07], p = .001) independent of treatment dose, participant demographic characteristics, and study quality, though overall effects were small. Follow-up analyses demonstrated that only CBMs targeting interpretation bias were efficacious for aggression outcomes, but not when baseline aggression was accounted for. Findings suggest that CBM demonstrates efficacy for the treatment aggressive behavior and to a lesser extent, anger.

Effects of interpretation bias modification on hostile attribution bias and reactive cyber-aggression in Chinese adolescents: a randomized controlled trial

Highly aggressive individuals tend to interpret others' motives and intentions as hostile in both offline and online social situations. The current study examined whether hostile interpretation bias can be modified to influence cyber-aggression in Chinese middle school students using an interpretation bias modification program. Gender differences and the heterogeneity of cyber-aggression were also investigated since previous studies suggest that they play important roles in determining the intervention effect. One hundred and twenty-one middle school students were randomized to receive either an eight-session interpretation bias modification task (CBM-I; n = 61) or an eight-session placebo control task (PCT; n = 60) over four weeks. Measures of hostile attribution bias and cyber-aggression were administered at baseline, post-training, and at one week follow-up. Results showed that compared to PCT, participants in CBM-I showed a significant reduction in reactive cyber-aggression. However, contrary to our expectation, there was no significant difference between the two groups in the reduction of hostile attribution bias after training. The moderated mediation analysis revealed that the effect of CBM-I on hostile attribution bias and the mediating role of hostile attribution bias in the relationship between CBM-I condition and reactive cyber-aggression was only observed among females, but not among males. These findings provide initial evidence for the potential of CBM-I in reducing hostile attribution bias and cyber-aggression. However, for male students, CBM-I might not be effective enough as expected.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-023-04433-3.

Adaptation of Questionnaire about Aggressive Beliefs and Attitudes in Spanish Adolescents

Aggressive beliefs and attitudes are increasingly present in adolescents, and it can be argued that they are a prevalent feature of adolescence. Michel, Pace, Edun, Sawhney, and Thomas’s (2014) original thirty-item scale was later shortened to a more parsimonious eight-item scale (ABA-SF). This study addresses the adaptation and validation of the brief Aggressive Beliefs and Attitudes Scale to Spanish adolescents. The sample comprised a group of Spanish adolescents (N = 771, M age = 14.01 years). A total of two studies were undertaken: (1) the scale was translated into Spanish and its internal consistency, factorial structure and convergent validity were established; and (2) factorial analysis was undertaken to confirm the questionnaire. The results yielded high scores for internal consistency, reliability (α = 0.82; Ω = 0.83) and convergent validity. The examination of the underlying nomological network revealed links with positive and negative feelings, anxiety and aggression. According to the Exploratory Factorial Analysis (EFA), the aggregate variance of the factors in the scale was 65.814%, indicating that they can explain variations in aggression levels in adolescents. For its part, the Factorial Confirmatory Analysis (FCA) confirmed the match between the translation and the model, leading to a sustainable model composed by the three factors identified and eight items: χ2 (17) = 30.693; p < 0.001; χ2/gL = 1.805; CFI = 0.968; NFI = 0.837; TLI = 0.944; RMSEA = 0.060, IC del 95% (0.048−0.072). The short scale is easy to understand and quick to complete and is thus considered a useful instrument to assess aggression levels in adolescents.

Interpersonal Cognitive Biases in Children and Young People with Neurodevelopmental Disorders: A Systematic Review

Purpose of Review

Interpersonal cognitive biases have been linked to externalising and internalising problems. This systematic review investigates their role in children and young people with neurodevelopmental disorders (NDD), who have a high risk of experiencing such problems.

Recent Findings

With 16 identified studies, this is a widely under-recognised research area. The three studies conducted within the last 5 years focused on threat interpretation and its association with anxiety. No difference between children and young people with and without NDD was found in the eleven studies investigating hostile attribution of intent, of which the most recent is nearly a decade old. No studies addressed attention or memory bias towards ambiguous interpersonal information.

Summary

The scarcity and heterogeneity of research highlighted in this paper demonstrate the urgency to use standardised and accessible research methods to develop a strong evidence base regarding the potential content-specific interpretation bias in individuals with NDD.