Autistic Traits and Aggressive Behavior in Chinese College Students: A Serial Mediation Model and the Gender Difference.

Background: The existence of aggressive behavior in autism spectrum disorders (ASD) raises questions about whether cognitive and emotional factors in social information processing play a role between autistic traits (ATs) and aggressive behavior in the general population, especially in the context of Chinese culture. Moreover, given a possible gender difference in these variables, the study aimed to examine the effect of ATs on aggressive behavior, and the potential mediating role of hostile attribution bias and alexithymia on this association, as well as gender difference. Methods: 850 Chinese college students participated in the assessment, including their ATs, hostile attribution bias, alexithymia, and aggressive behavior. Pearson correlation, mediation effects analyses, and multiple-group comparison were conducted. Results: The results indicated that ATs indirectly predicted increased aggressive behavior through attribution bias and alexithymia. Gender difference in mediating effects was revealed: ATs indirectly predicted increased aggressive behavior through the serial mediating effect only in males. Conclusion: Hostile attribution bias and alexithymia completely mediated the association between ATs and aggressive behavior, which contained the separate mediating effects of (a) hostile attribution bias and (b) alexithymia and the serial mediating effect of (c) hostile attribution bias and alexithymia. Gender differences in mediating effects were found only in the serial mediating effect, which was significant in males but not in females. The findings revealed the internal mechanism of ATs affecting aggressive behavior and gender difference, which have implications for the intervention of aggressive behavior of individuals with autism and those with high levels of ATs.

Validation of a new assessment of hostile attribution bias in romantic relationships: The Hostile Attributions in Romantic Relationships Test.

While hostile attributional bias (a tendency to interpret others' behaviors as intentionally hostile) is associated with negative outcomes in romantic relationships, no measure has been developed specifically for this context. Here, we describe the development and validation of a self-report questionnaire across three studies, named Hostile Attribution in Romantic Relationships Test. Study 1 introduces the development and preliminary validation (N = 152). Study 2 tests the validity and test-retest stability of the modified version revised based on findings in Study 1 (N = 151). Study 3 reports the translation and validation of a Chinese version (N = 630). The final 9-vignette scale is the first to specifically measure hostile attribution bias in romantic relationships, with good internal reliability, test-retest stability, and convergent validity. Factor analysis reveals a three-factor structure reflecting direct hostile attribution, indirect hostile attribution, and benign attribution to partners' behaviors. Implications regarding couple dynamics and clinical therapeutic interventions are discussed.

Hostile Attribution Bias Shapes Neural Synchrony in the Left Ventromedial Prefrontal Cortex during Ambiguous Social Narratives.

Hostile attribution bias refers to the tendency to interpret social situations as intentionally hostile. While previous research has focused on its developmental origins and behavioral consequences, the underlying neural mechanisms remain underexplored. Here, we employed functional near-infrared spectroscopy (fNIRS) to investigate the neural correlates of hostile attribution bias. While undergoing fNIRS, male and female participants listened to and provided attribution ratings for 21 hypothetical scenarios where a character's actions resulted in a negative outcome for the listener. Ratings of hostile intentions were averaged to measure hostile attribution bias. Using intersubject representational similarity analysis, we found that participants with similar levels of hostile attribution bias exhibited higher levels of neural synchrony during narrative listening, suggesting shared interpretations of the scenarios. This effect was localized to the left ventromedial prefrontal cortex (VMPFC) and was particularly prominent in scenarios where the character's intentions were highly ambiguous. We then grouped participants into high and low bias groups based on a median split of their hostile attribution bias scores. A similarity-based classifier trained on the neural data classified participants as having high or low bias with 75% accuracy, indicating that the neural time courses during narrative listening was systematically different between the two groups. Furthermore, hostile attribution bias correlated negatively with attributional complexity, a measure of one's tendency to consider multifaceted causes when explaining behavior. Our study sheds light on the neural mechanisms underlying hostile attribution bias and highlights the potential of using fNIRS to develop nonintrusive and cost-effective neural markers of this sociocognitive bias.

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.

Unraveling the Complex Interactions of Psychological Factors Contributing to Cyber Reactive Aggression Among College Students: Network and Mediation Analyses.

Cyber reactive aggression (CRA) among college students is a prevalent and harmful phenomenon. Psychological characteristics, such as trait anger (TA), hostile attribution bias (HAB), and revenge motivation (RM), are known to contribute to reactive aggression. However, the interactions between these factors in the context of cyberspace and their contribution to CRA among college students have not been extensively studied. This cross-sectional study aimed to identify the associations among psychological characteristics, demographic factors, and CRA among Chinese college students through Mixed Graphical Model (MGM) network and mediation effect analyses. A total of 926 participants completed questionnaires assessing TA, HAB, RM, and CRA. The study found both direct and indirect relationships between TA and CRA, with HAB and RM serving as mediating factors. Comparisons indicated that HAB had a more significant impact on the three indirect effects than RM. Furthermore, gender was found to be associated with TA and CRA, while the left-behind experience strongly influenced HAB but had no association with other variables. This study highlights the importance of considering psychological characteristics and demographic factors in understanding CRA among college students, suggesting that effective psychological interventions, such as anger management, and promoting positive attribution training, may help reduce CRA among college students and inform the development of targeted interventions to reduce cyber aggression.

Effects of relative deprivation on change in displaced aggression and the underlying motivation mechanism: A three-wave cross-lagged analysis.

Displaced aggression refers to pernicious acts against innocent people. To date, little is known about mechanisms underlying dynamic changes in displaced aggression. The present study constructed a cross-lagged model to examine the dynamic effects of relative deprivation on displaced aggression and the mediation mechanisms underlying these effects. A total of 1130 undergraduate students participated in this three-wave longitudinal study. The results showed that relative deprivation predicted changes in displaced aggression through concurrent changes in levels of hostile attribution bias and moral disengagement. Hostile attribution bias and moral disengagement could predict each other longitudinally. The relationships between relative deprivation and displaced aggression, and relative deprivation and hostile attribution bias were mutual. This multiple mediation model with two mutually predicting mediators was explained from the aggressive motivation perspective. The findings help inform aggression theories and have implications for the prevention of and interventions against displaced aggression.

Hostile attribution bias's role in perceived stress among college freshman students: A latent growth modelling approach.

This study's objective was to examine the growth trajectories of freshman students' perceived stress and whether hostile attribution bias predicts the pattern of perceived stress change using latent growth analyses. A longitudinal dataset with fourth measurement points was gathered from a total of 1109 college students enrolled at a university in Guizhou Province in the first 3 months after college freshmen enrollment. The freshman students' levels of perceived stress tend to show a piecewise linear decline during the transition period, which manifests as a faster decline in the first stage (within the first month) than in the second stage (after the first month). Moreover, hostile attribution bias not only positively predicted the initial level of perceived stress but also positively predicted the slope of perceived stress in the first and second stages. In addition, there was a significant sex difference in the initial level of perceived stress where the initial level of perceived stress was higher in females than in males, but there was no significant sex difference in the rate of perceived stress decline. These results highlight the longitudinal relationship between hostile attribution bias and perceived stress and have implications for improving freshmen' college adaptation.

Longitudinal Associations Between Interpersonal Distrust and Social Aggression During College: Disentangling the Within-Person Process from Stable Between-Person Differences.

There is a dearth of information on the relationship between interpersonal distrust and social aggression in the youth, although both may lead to negative interpersonal relationships. Furthermore, scholars have not explored whether interpersonal distrust influences later social aggression over time at the within-person level. This study used five wave longitudinal data to investigate the longitudinal association between interpersonal distrust and social aggression and the role of hostile attribution bias in this relationship; notably, it used a relatively rigorous approach-the random intercept cross-lagged panel model-to disentangle within-person processes from stable between-person differences. The final number of participants included 1053 undergraduate students (677 female students and 376 male students), and 64.3% were female students, with a mean age of 18.45 years (SD = 0.95) at first measurement. Participants completed assessments for interpersonal distrust, hostile attribution bias, and social aggression at five time points across 6-month intervals. At the within-person level, the results revealed that interpersonal distrust was a predictor of later social aggression and that hostile attribution bias acted as a longitudinal mediator in this relationship. This result indicates that to enhance interpersonal harmony and reduce individual hostility and aggression toward others, intervention programs should aim to reduce interpersonal distrust.

The Role of Parent-Child Attachment, Hostile Attribution Bias in Aggression: A Meta-Analytic Review.

Parent-Child Attachment (PCA) and Hostile Attribution Bias (HAB) are closely related to aggression, but findings regarding their relationships are inconsistent. There is a lack of understanding of the underlying mechanism between PCA and aggression. This review employed meta-analysis approaches to investigate the associations between PCA and aggression, as well as between HAB and aggression, and the mechanism for the PCA-aggression association. An article search was conducted in CNKI, PubMed, PsycINFO, Web of Science, ProQuest, and Google Scholar. Totally, 118 studies involving general populations and those at high risk for aggression were included. Results revealed negative associations between Parent-Child Attachment Security (PCAS) and aggression (ρ = -.267, p < .001) and positive associations between Parent-Child Attachment Insecurity (PCAI) and aggression (ρ = .240, p < .05). HAB and aggression were found to be positively associated (ρ = .303, p < .001). As for the PCAS-aggression association, a larger effect size was found in females than in males. The HAB-reactive aggression association was stronger than the HAB-proactive aggression association. In Eastern culture, the association between HAB and aggression was stronger than in Western culture. HAB mediated the association between PCAS and aggression. Our findings contribute to the understanding of the occurrence and development of aggression by establishing an association between attachment theory and the social information processing model. The practical implications include interventions targeting cultivating PCAS and alleviating HAB, which might serve as effective ways to reduce aggression, yet aggression type, gender, and cultural background should be taken into consideration.

Variants of Callous-unemotional traits in childhood: investigation of attachment profile and hostile attribution bias.

There is increasing evidence of interest in describing two variants of CallousUnemotional (CU) traits based on high (secondary variant) or low (primary variant) levels of anxiety. However, studies are limited in childhood. The present study aimed to further the understanding of the variants, specifically in association with hostile attribution bias (HAB) and attachment. In a community sample of children aged 4 to 9 (N = 70), the study examined whether anxiety moderated the association of CU traits with HAB, secure and disorganized attachment representations. Hierarchical regression analyses revealed that CU traits were positively associated with disorganized attachment, regardless of the anxiety level. In contrast, CU traits were not associated with secure attachment. A significant interaction revealed that CU traits were positively associated with HAB only at high levels of anxiety. Implications for understanding the variants of CU traits and hypotheses regarding their developmental trajectories are discussed.

The Effects of Covert Narcissism on Chinese College Students Cyberbullying: The Mediation of Hostile Attribution Bias and the Moderation of Self-Control.

Purpose: The prevalence of cyberbullying has increased along with the growth of social media, which has brought about many adverse effects on individual development. The current study aimed to explore the connection between covert narcissism and cyberbullying and to test the roles of hostile attribution bias and self-control in the relationship between covert narcissism and cyberbullying. Materials and Methods: A total of 672 Chinese college students filled up questionnaires measuring covert narcissism, cyberbullying, hostile attribution bias, and self-control. Results: The results indicated that covert narcissism positively and significantly predicted cyberbullying. Hostile attribution bias partially mediated the relationship between covert narcissism and cyberbullying. Additionally, self-control moderated the relationship between covert narcissism and cyberbullying. Specifically, the positive predictive effect of covert narcissism on cyberbullying gradually weakened as self-control improved. Conclusion: This study explored the underlying mechanism of cyberbullying and found that covert narcissism could affect cyberbullying through hostile attribution bias. Self-control moderated the relationship between covert narcissism and cyberbullying. The results have significant implications for the intervention and prevention of cyberbullying and additional evidence for the relationship between covert narcissism and cyberbullying.

Relationship between Harsh Parenting and Aggressive Behaviors in Male Juvenile Delinquents: Potential Mediating Roles of Peer Victimization and Hostile Attribution Bias.

Harsh parenting can be regarded as a harsh behaviors, feelings, and attitudes toward children in the process of parenting. According to the theory of intergenerational transmission of violence, harsh parenting is an important factor affecting children's aggressive behavior, but the theory does not clarify the specific action path between harsh parenting and aggressive behavior. In order to reveal the relationship between harsh parenting and the aggressive behavior of juvenile delinquents, 604 male juvenile delinquents (N = 604; Mage = 16.57 years; SD = 0.612 years) were investigated using the Harsh Parenting Questionnaire, the Buss-Perry Aggression Questionnaire, the Multidimensional Peer Victimization Scale, and the Word Sentence Association Paradigm for Hostility in Chinese. Analysis using structural equation modeling procedures showed that (a) all variables were positively associated with each other; (b) the partial indirect effect of harsh parenting on aggressive behaviors was determined through the mediators of peer victimization and hostile attribution bias independently; and (c) the partial indirect effect was determined through the mediators of peer victimization and hostile attribution bias sequentially. The results suggest that harsh parenting can explain the highly aggressive behavior of male juvenile delinquents. Moreover, harsh parenting may also predict the risk of peer victimization and hostile attribution bias, thereby predicting the development of highly aggressive behaviors.

[The influencing factors of functional somatic discomfort in clinical nurses].

Objective: To investigate the functional somatic discomfort status, and to analyze the effect of job stress, hostile attribution bias and ego depletion on functional somatic discomfort in clinical nurses. Methods: In May 2019, 10 cities in Henan Province and Fujian Province were randomly selected as sampling cities. Using the stratified cluster sampling method, nurses of clinical nursing posts in 22 third class hospitals and 23 second class hospitals were selected as the research objects. The general information, job stress, hostile attribution bias, ego depletion and functional somatic discomfort of clinical nurses were investigated by self-designed general information questionnaire, Perceived Stress Scale, Social Information Processing-attribution Bias Questionnaire, Self-regulatory Fatigue Scale, Patient Health Questionnaire-15. 1200 clinical nurses included, and a total of 1159 valid questionnaires were collected, the effective rate of questionnaire collection was 96.6%. The t test was used to compare the difference of the functional somatic discomfort scores of clinical nurses with different demographic characteristicst. The influence of job stress, hostile attribution bias and ego depletion on functional somatic discomfort of clinical nurses were analyzed with Bootstrap. Results: The functional somatic discomfort score of clinical nurses was (8.95±4.38), of which 859 (74.12%) had functional somatic discomfort symptom. The functional somatic discomfort score of clinical nurses aged 36-50 years old was higher than that of 19-35 years old, the functional somatic discomfort score of clinical nurses with service age ≥5 years was higher than that of <5 years, the functional somatic discomfort score of non-permanent clinical nurses was higher than that of permanent clinical nurses, the functional somatic discomfort score of clinical nurses in tertiary hospitals was higher than that of secondary hospitals, the functional somatic discomfort score of clinical nurses in surgical departments were higher than those in non-surgical departments, and the differences were statistically significant (P<0.05). Job stress affected functional somatic discomfort through the single mediating role of hostile attribution bias, the single mediating role of ego depletion, and the chain mediating role of hostile attribution bias and ego depletion (ß=0.17, 95%CI: 0.10-0.20; ß=0.16, 95%CI: 0.10-0.20; ß=0.07, 95%CI: 0.03-0.10; P<0.05) . Conclusion: The functional somatic discomfort symptoms of clinical nurses are significant and varied among different age, working age, employment form, hospital grade and department groups. They are affected by work stress directly and through the separate mediating effect of hostile attribution bias and ego depletion, and the chain mediating effect of hostile attribution bias and ego depletion.

Why narcissists are more likely to be aggressive? The role of hostile attribution bias.

Narcissism is commonly associated with aggressiveness, but the underlying mechanisms of this relationship are still not yet fully understood. Based on previous research showing that narcissists are suspicious, the present research investigated whether hostile attribution of intent could explain the relationship between narcissism and aggression. In Study 1, participants (N = 347) completed a self-report measure of grandiose narcissism (Narcissistic Personality Inventory) and a measure of hostile attribution bias (Social Information Processing-Attribution Emotion Questionnaire). Analyses revealed that narcissism was a strong predictor of hostile attribution bias, angry feelings, and aggressive reactions. Moreover, hostile attribution bias appeared to mediate the relation between narcissism and aggressive reactions. Study 2 (N = 130) replicated the findings of Study 1 using a measure of vulnerable narcissism (Hypersensitive narcissism scale). In addition, perspective taking was manipulated in Study 2 and the results showed that participants in the high perspective-taking condition (vs. low perspective taking) were less likely to make hostile attributions. These findings suggest that hostile attribution of intent is particularly relevant to understand narcissistic aggression. (170 words).

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.

Social cognitive bias increases loneliness both directly and by decreasing social connection in patients with schizophrenia.

While considerable emphasis has been put on investigating the mechanisms that drive reduced social connection in patients with schizophrenia (SCZ), recent studies have increasingly focused on the issue of loneliness in SCZ. As both social cognitive bias and self-reported empathy predict loneliness in non-clinical populations, the current study aims to examine the relationship between loneliness, reduced social connection and social cognitive biases, and self-reported empathy in SCZ. Ninety-three adult SCZ and sixty-six matched healthy individuals completed a battery of questionnaires measuring loneliness and social connection (Revised-UCLA Loneliness Scale, Lubben-Social Network Scale, Social Disconnectedness Scale), cognitive biases (Ambiguous Intentions Hostility Questionnaire, Davos Assessment of Cognitive Biases Scale, Cognitive Biases Questionnaire for psychosis) and self-reported empathy (Interpersonal Reactivity Index). Significant predictors of loneliness in SCZ were entered into two latent variables ("Social Threat Bias", "Social Connection"), and structural equation modeling was used to explore the direct and indirect relationships between Social Threat Bias, symptoms. and loneliness in SCZ. Patients reported higher levels of loneliness, cognitive biases and personal distress compared to controls. Furthermore, SCZ reported less social connection and perspective taking compared to controls. Structural equation modeling revealed that Social Threat Bias was linked to increased loneliness in SCZ both directly and indirectly via decreased social connection. Negative symptoms were directly linked with loneliness, while the association between affective symptoms and loneliness was mediated via Social Threat Bias. The results of the current study suggest that social threat bias should be considered while planning the interventions aimed to reduce loneliness in schizophrenia.

Hostile attribution bias in schizophrenia-spectrum disorders: narrative review of the literature and persisting questions.

BACKGROUND: Social cognition is often aberrant or impaired in psychotic disorders and related to functional outcomes. In particular, one core social cognitive bias - hostile attribution bias - is proposed to be implicated in paranoia, anxiety, mood disturbances and interpersonal conflict outcomes. However, questions remain about this domain's specificity to psychosis and its relationship to general functional outcomes. AIMS: The present paper offers a descriptive and critical review of the literature on hostile attribution bias in psychotic disorders, in order to examine (1) its impact on persecutory symptoms in schizophrenia-spectrum disorders, (2) impact on other related psychopathology among those experiencing psychosis and (3) relationship to functioning. METHODS: Twenty-eight studies included in this review after parallel literature searches of PsycINFO and PubMed. RESULTS: Evidence from these studies highlighted that hostile attribution bias is elevated in schizophrenia, and that it is related to anxiety, depression and interpersonal conflict outcomes. CONCLUSION: While results suggest that hostile attributions are elevated in schizophrenia and associated with symptoms and functioning, there exist numerous persisting questions in the study of this area, including identifying which measures are most effective and determining how it presents: as a state or trait-like characteristic, via dual processes, and its situational variation.

Assessment of Boys' Responses to Interpersonal Conflict in Virtual Reality.

Background: Continuous advances in virtual reality (VR) technology have increased its potential for clinical use in the research, assessment, and treatment of mental health difficulties. One potential target for VR use is childhood behavior problems, which are often associated with social-cognitive deficits that can be difficult to measure or modify. Materials and Methods: We enrolled 36 boys between the ages of 8-13 to assess the usability of a VR device and its feasibility as a psychiatric tool for youth. Each participant experienced three virtual school cafeteria scenes that varied in antisocial content and the intentions of a virtual counterpart (VC) (control, ambiguous, or hostile). Following each scene, participants completed questions about ease and comfort in using the headset as well as an assessment of hostile attribution bias (HAB). HAB is the tendency to attribute hostile motivations to others' behaviors, which contributes to antisocial thoughts and behaviors. Following this VR use, participants completed a standard text assessment of HAB. Results: In general, participants reported the VR headset to be enjoyable and easy to use, and scenes worked as intended, with VCs in the hostile scene rated the meanest. In addition, boys with more conduct problems reported that virtual characters were meaner to them, despite no difference in text vignette measures of HAB. Conclusion: This study provides preliminary evidence supporting the further development of VR programs to assess and treat childhood behavior problems.

Intergenerational Transmission of Depression during Adolescence: The Mediating Roles of Hostile Attribution Bias, Empathic Concern, and Social Self-Concept.

Few studies have empirically examined the role of peer microsystem in the intergenerational transmission of depression, and more importantly, little is known about the mechanisms underlying this potential pathway of intergenerational transmission. The purpose of the current study was to examine the sequential mediation effects of adolescent hostile attribution bias, empathic concern, and social self-concept on the association between maternal depression and adolescent depression. An urban Chinese sample of 761 mother-child dyads was investigated when the adolescents were in secondary school (M = 14.36 years, range =12.33-16.92 years, 52.3% female). The results provided evidence of cross-generational continuity in depression during adolescence, and the hypothesized sequential mediation model was supported. The findings highlight the importance of peer-related factors during the intergenerational transmission of depression and have important implications for interpersonal interventions that aim to prevent depression during adolescence. The limitations of the study and suggestions for future research are briefly discussed.

The effect of peer victimization on adolescents' revenge: the roles of hostility attribution bias and rumination tendency.

Although previous studies revealed that peer victimization was closely related to revenge, mechanisms underlying this association have been unclear. The purpose of this study is to examine the mediating role of hostility attribution bias (HAB) and the moderating role of rumination tendency in the relationship between peer victimization and revenge. The data were collected from 6,622 adolescents. The PROCESS macro of SPSS 26.0 was used to examine the hypotheses. The results show that peer victimization positively associates with revenge. Hostile attribution bias play a partial mediating role between peer victimization and revenge. Both the direct effect of peer victimization on revenge and the first half of the mediating effect of HAB are moderated by rumination tendencies. Specifically, both direct and indirect effects of peer victimization on revenge are stronger in individuals with concrete experiential rumination (CER) tendency than in those with abstract analytic rumination (AAR) tendency.