Clarifying the relationship between trait aggression and self-control using random item slope regression.

OBJECTIVE: Myriad psychological research evinces a negative association between self-control and aggression with some arguing for self-control failure as a cause of aggression. Recent literature suggests that the relationship between aggression and self-control is likely more complex and even positive in some cases. One source of such conflict in the literature could be the presence of unaccounted for random item slopes in commonly used measures of self-control which may inflate the likelihood of Type I errors. This study (N = 1386) tested the hypothesis that self-control would share random item slopes with the facets of trait aggression using random item slope regression. METHOD: We measured trait aggression and self-control via two common self-reports: the Buss-Perry Questionnaire and the Brief Self-Control Scale. RESULTS: Our analyses revealed that the facets of trait aggression shared significant random item slopes with self-control and that many of these slopes were positive, rather than negative. We also found that Type I error inflation was evident in models that did not account for these random slopes. CONCLUSIONS: These findings may in part explain some of the conflicting results in the literature and that researchers interested in studying self-control and aggression should test for random item slopes.

Co-optimisation of wind and solar energy and intermittency for renewable generator site selection.

Sites for the construction of wind and solar farms have typically been chosen to maximise total energy generation of an individual site, but rarely consider the intermittency of the renewable resource available at each location. As more renewable generation is added to electricity grids around the world, this intermittency is rapidly becoming a major factor constraining the volume of renewable generation that can be added cost-effectively, as additional fast-response storage or dispatchable generation must compensate for periods of low renewable generation. We present a statistical approach to selecting wind and solar generation sites that assesses energy and intermittency of individual wind, solar and co-sited wind plus solar farm locations, allowing energy and intermittency to be given weight when selecting sites for new generation. A new multi-objective pareto-front approach to identifying high-performing renewable generation sites that allows for optimising multi-site selection using the median (energy) and median absolute difference (intermittency) of historical weather resource is proposed. This technique is then applied to a 30-year, hourly, Australian weather reanalysis dataset to show the potential improvement over the fleet of wind and solar farms currently operating in the Australian National Energy Market. Finally, an analysis of potential sites for optimal offshore wind and combined offshore wind and solar is presented. The proposed wind-only and solar-only sites show an average energy increase of 9% (solar, 67 sites), 28% (wind, 50 sites) more energy for the same level of intermittency, as compared to the existing generation sites. Three existing combined wind and solar sites were compared to the best three proposed sites, which showed a 3-16% energy increase for the same intermittency, or a 2-11% intermittency decrease for the same energy generated.

Inside the mindful moment: The effects of brief mindfulness practice on large-scale network organization and intimate partner aggression.

Mindfulness can produce neuroplastic changes that support adaptive cognitive and emotional functioning. Recently interest in single-exercise mindfulness instruction has grown considerably because of the advent of mobile health technology. Accordingly, the current study sought to extend neural models of mindfulness by investigating transient states of mindfulness during single-dose exposure to focused attention meditation. Specifically, we examined the ability of a brief mindfulness induction to attenuate intimate partner aggression via adaptive changes to intrinsic functional brain networks. We employed a dual-regression approach to examine a large-scale functional network organization in 50 intimate partner dyads (total n = 100) while they received either mindfulness (n = 50) or relaxation (n = 50) instruction. Mindfulness instruction reduced coherence within the Default Mode Network and increased functional connectivity within the Frontoparietal Control and Salience Networks. Additionally, mindfulness decoupled primary visual and attention-linked networks. Yet, this induction was unable to elicit changes in subsequent intimate partner aggression, and such aggression was broadly unassociated with any of our network indices. These findings suggest that minimal doses of focused attention-based mindfulness can promote transient changes in large-scale brain networks that have uncertain implications for aggressive behavior.

Isopropyl alcohol inhalation versus 5-HT3 antagonists for treatment of nausea: a meta-analysis of randomised controlled trials.

PURPOSE: Nausea is a common and unpleasant sensation for which current therapies such as serotonin (5-HT3) antagonists are often ineffective, while also conferring a risk of potential adverse events. Isopropyl alcohol (IPA) has been proposed as a treatment for nausea. We aimed to compare IPA with 5-HT3 antagonists for the treatment of nausea across all clinical settings. METHODS: MEDLINE, EMBASE, PubMed, CENTRAL and CINAHL were searched from inception to 17 July 2023 for randomised controlled trials (RCTs) comparing inhaled IPA and a 5-HT3 antagonist for treatment of nausea. Severity and duration of nausea, rescue antiemetic use, adverse events and patient satisfaction were the outcomes sought. Risk of bias (RoB) was assessed using Cochrane RoB 2. Random-effects model was used for meta-analysis. Combination of meta-analyses and narrative review was used to synthesise findings. The evidence was appraised using GRADE. RESULTS: From 1242 records, 4 RCTs were included with 382 participants. Participants receiving IPA had a significantly lower mean time to 50% reduction in nausea (MD - 20.06; 95% CI - 26.26, - 13.85). Nausea score reduction at 30 min was significantly greater in the IPA group (MD 21.47; 95% CI 15.47, 27.47). IPA led to significantly reduced requirement for rescue antiemetics (OR 0.60; 95% CI 0.37, 0.95; p = 0.03). IPA led to no significant difference in patient satisfaction when compared with a 5-HT3 antagonist. The overall GRADE assessment of evidence quality ranged from very low to low. CONCLUSION: IPA may provide rapid, effective relief of nausea when compared with 5-HT3 antagonists.

Exploring changes in violence across two waves of the COVID-19 pandemic in Richmond, VA.

The first wave of the COVID-19 pandemic carried with it an increase in violence in the United States and abroad. The proportion of violence cases involving firearms also increased during this time, yet little research has examined these effects using data from the second wave of COVID infections. Explanations for these documented increases in gun violence put forward by scholars include increased firearm purchases, alcohol consumption, unemployment, and organized crime activity. The current work examined these trends in Richmond, VA. We collected data on patients (N = 1744) presenting with violent injuries from 2018 to 2022 from the emergency department of a Level-1 Trauma Center in Richmond, VA. Data were coded on the basis of whether they presented before the pandemic, during the first wave, or during the second wave. Logistic binomial regressions revealed that the risk of gunshot wounds increased by 32% during the first wave and 44% during the second wave, relative to the pre-COVID period, but that the increase between the first and second wave was not significant. These findings held after controlling for victim age, race, sex, and injury severity. Further analyses revealed that these effects were specific to violent injury, as we found no increase in firearm use among self-injury cases. The heightened violence reported during the COVID-19 pandemic was also observed in Richmond, VA. Gun violence in particular increased over time as other forms of violence (i.e., assaults, stabbings, and self-harm) decreased.

A chemically inducible IL-2 receptor signaling complex allows for effective in vitro and in vivo selection of engineered CD4+ T cells.

Engineered T cells represent an emerging therapeutic modality. However, complex engineering strategies can present a challenge for enriching and expanding therapeutic cells at clinical scale. In addition, lack of in vivo cytokine support can lead to poor engraftment of transferred T cells, including regulatory T cells (Treg). Here, we establish a cell-intrinsic selection system that leverages the dependency of primary T cells on IL-2 signaling. FRB-IL2RB and FKBP-IL2RG fusion proteins were identified permitting selective expansion of primary CD4+ T cells in rapamycin supplemented medium. This chemically inducible signaling complex (CISC) was subsequently incorporated into HDR donor templates designed to drive expression of the Treg master regulator FOXP3. Following editing of CD4+ T cells, CISC+ engineered Treg (CISC EngTreg) were selectively expanded using rapamycin and maintained Treg activity. Following transfer into immunodeficient mice treated with rapamycin, CISC EngTreg exhibited sustained engraftment in the absence of IL-2. Furthermore, in vivo CISC engagement increased the therapeutic activity of CISC EngTreg. Finally, an editing strategy targeting the TRAC locus permitted generation and selective enrichment of CISC+ functional CD19-CAR-T cells. Together, CISC provides a robust platform to achieve both in vitro enrichment and in vivo engraftment and activation, features likely beneficial across multiple gene-edited T cell applications.

Development of a measure of aggressive behavior expectancies in adults: The Aggression Expectancy Questionnaire.

According to sociocognitive theories, aggression is learned and elicited through a series of cognitive processes, such as expectancies, or the various consequences that an individual considers more or less likely following aggressive behavior. The current manuscript describes a measurement development project that ultimately yielded a 16-item measure of positive and negative aggression expectancies suitable for use in adult populations. Across two content generation surveys, two preliminary item refinement studies, and three full studies, we took an iterative approach and administered large item pools to several samples and refined item content through a combination of empirical (i.e., factor loadings, model fit) and conceptual (i.e., content breadth, non-redundancy) considerations. The Aggression Expectancy Questionnaire displays a four-factor structure, as well as evidence of convergent and divergent validity with self-reported aggression and relevant basic (e.g., antagonism, anger) and complex (e.g., psychopathy) personality variables. It is posited that this type of cognitive mechanism may serve as an intermediary link between distal characterological predictors of aggression and its proximal manifestation, which is in line with several prominent theories of personality and may ultimately hold clinical utility by providing a framework for aggression interventions.

Identifying distinct profiles of impulsivity for the four facets of psychopathy.

Psychopathy comprises antagonistic personality traits and antisocial behaviors that are associated with critical outcomes for the individual and society (e.g., violent behavior). Since its inception, impulsivity has been theorized as a core feature of psychopathy. Research supports this assertion, yet psychopathy and impulsivity are both multifaceted constructs. As such, the associations commonly observed between psychopathy and impulsivity may obscure more nuanced profiles of impulsivity that are only observable at the facet-level. To address this gap in the literature, we collected data from a community sample using a clinical psychopathy interview along with dispositional and neurobehavioral measures of impulsivity. We regressed each of the four facets of psychopathy onto eight impulsivity variables. We followed these analyses with bootstrapped dominance analyses in order to determine which of the impulsivity variables shared the most variance with each psychopathy facet. Our analyses revealed that positive urgency was the most important aspect of impulsivity to all four facets of psychopathy. We further identified distinct profiles of impulsivity linked to each psychopathy facet-the interpersonal facet was typified by sensation seeking and temporal impulsivity. The affective and lifestyle facets were both typified by general trait impulsivity and affective impulsivity. The antisocial facet was typified by affective impulsivity and sensation seeking. Such distinct profiles of impulsivity suggest that specific behaviors linked with each facet (e.g., manipulativeness and the interpersonal facet) may be explained in part by the distinct forms of impulsivity aligned with them.

A Network Analysis of the PART-O at 1 and 2 Years After TBI: A Veterans Affairs Model Systems Study.

OBJECTIVE: The construct of participation after traumatic brain injury (TBI) can be difficult to operationalize. Psychometric network analysis offers an empirical approach to visualizing and quantifying the associations between activities that comprise participation, elucidating the relations among the construct's components without assuming the presence of a latent common cause and generating a model to inform future measurement methods. The current research applied psychometric network analysis to the Participation Assessment with Recombined Tools-Objective (PART-O) within a sample of service members and veterans (SM/Vs) with a history of TBI at 1 and 2 years ( T1 and T2 ) postinjury. PARTICIPANTS: Participants ( N = 663) were SM/Vs with a history of TBI who completed comprehensive inpatient rehabilitation services at a Department of Veterans Affairs (VA) Polytrauma Rehabilitation Center (PRC). SETTING: Five VA PRCs. DESIGN: Cross-sectional, retrospective analysis of data from the VA TBI Model Systems study. MAIN MEASURES: PART-O. RESULTS: Network analysis demonstrated that the PART-O structure was generally consistent over time, but some differences emerged. The greatest difference observed was the association between "spending time with friends" and "giving emotional support" to others. This association was more than twice as strong at T2 as at T1 . The "out of the house" item was most central, as demonstrated by dense connections within its own subscale (Out and About) and items in other subscales (ie, Social Relations and Productivity). When examining items connecting the 3 subscales, the items related to giving emotional support, internet use, and getting out of the house emerged as the strongest connectors at T1 , and the internet was the strongest connector at T2 . CONCLUSION: Providing emotional support to others is associated with greater participation across multiple domains and is an important indicator of recovery. Being out and about, internet use, and engagement in productive activities such as school and work shared strong associations with Social Relations. Network analysis permits visual conceptualization of the dynamic constructs that comprise participation and has the potential to inform approaches to measurement and treatment.

Comparing psychopathy across measurement modalities.

Psychopathy is a collection of personality traits and behaviors that are associated with costly personal, interpersonal, and societal outcomes. The nature of this construct has been widely debated across decades of literature, and such debates have produced a multitude of instruments for the measurement of psychopathy. These measures include self-reports and clinical interviews, yet little work has examined the degree to which measurements of psychopathy may differ across these modalities and whether such potential differences may impact the associations commonly found with psychopathy (e.g., impulsivity). To this end, we applied psychometric network and item response theory analyses to data obtained from the interview-based Psychopathy Checklist: Screening Version and the Levenson Self-Report of Psychopathy in the same sample. Our results revealed similarities and differences across measurement modalities. Regarding the Psychopathy Checklist: Screening Version, Factor 2 items were more important to the psychopathy construct (i.e., the most central and contributed more information than Factor 1 items), whereas Factor 1 items were more important to the Levenson Self-Report of Psychopathy. Factor 1 items were positively linked with Positive Urgency and were either negatively associated or not associated with Negative Urgency. In contrast, Factor 2 items were positively linked with Negative Urgency in both networks. Our analyses also revealed that dishonesty and irresponsibility served as the primary bridges connecting the factors of psychopathy in both networks. We make suggestions for improving the assessment of psychopathy by implementing self-report and interview measures that allow scores to be compared directly. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Comparing forms of neighborhood instability as predictors of violence in Richmond, VA.

Violence events tend to cluster together geospatially. Various features of communities and their residents have been highlighted as explanations for such clustering in the literature. One reliable correlate of violence is neighborhood instability. Research on neighborhood instability indicates that such instability can be measured as property tax delinquency, yet no known work has contrasted external and internal sources of instability in predicting neighborhood violence. To this end we collected data on violence events, company and personal property tax delinquency, population density, race, income, food stamps, and alcohol outlets for each of Richmond, Virginia's 148 neighborhoods. We constructed and compared ordinary least-squares (OLS) to geographically weighted regression (GWR) models before constructing a final algorithm-selected GWR model. Our results indicated that the tax delinquency of company-owned properties (e.g., rental homes, apartments) was the only variable in our model (R2 = 0.62) that was associated with violence in all but four Richmond neighborhoods. We replicated this analysis using violence data from a later point in time which yielded largely identical results. These findings indicate that external sources of neighborhood instability may be more important to predicting violence than internal sources. Our results further provide support for social disorganization theory and point to opportunities to expand this framework.

Neural mechanisms of intergroup exclusion and retaliatory aggression.

Aggression occurs frequently and severely between rival groups. Although there has been much study into the psychological and socio-ecological determinants of intergroup aggression, the neuroscience of this phenomenon remains incomplete. To examine the neural correlates of aggression directed at outgroup (versus ingroup) targets, we recruited 35 healthy young male participants who were current or former students of the same university. While undergoing functional MRI, participants completed an aggression task against both an ingroup and an outgroup opponent in which their opponents repeatedly provoked them at varying levels and then participants could retaliate. Participants were then socially included and then excluded by two outgroup members and then completed the same aggression task against the same two opponents. Both before and after outgroup exclusion, aggression toward outgroup members was positively associated with activity in the ventral striatum during decisions about how aggressive to be toward their outgroup opponent. Aggression toward outgroup members was also linked to greater post-exclusion activity in the rostral and dorsal medial prefrontal cortex during provocation from their outgroup opponent. These altered patterns of brain activity suggest that frontostriatal mechanisms may play a significant role in motivating aggression toward outgroup members.

An empirically based power primer for laboratory aggression research.

Recent reviews suggest that, like much of the psychological literature, research studies using laboratory aggression paradigms tend to be underpowered to reliably locate commonly observed effect sizes (e.g., r = ~.10-.20, Cohen's d = ~0.20-0.40). In an effort to counter this trend, we provide a "power primer" that laboratory aggression researchers can use as a resource when planning studies using this methodology. Using simulation-based power analyses and effect size estimates derived from recent literature reviews, we provide sample size recommendations based on type of research question (e.g., main effect vs. two-way vs. three-way interactions) and correlations among predictors. Results highlight the large number of participants that must be recruited to reach acceptable (~80%) power, especially for tests of interactions where the recommended sample sizes far exceed those typically employed in this literature. These discrepancies are so substantial that we urge laboratory aggression researchers to consider a moratorium on tests of three-way interactions. Although our results use estimates from the laboratory aggression literature, we believe they are generalizable to other lines of research using behavioral tasks, as well as psychological science more broadly. We close by offering a series of best practice recommendations and reiterating long-standing calls for attention to statistical power as a basic element of study planning.

The tangled webs we wreak: Examining the structure of aggressive personality using psychometric networks.

OBJECTIVE: Trait aggression is a prominent construct in the psychological literature, yet little work has sought to situate trait aggression among broader frameworks of personality. Initial evidence suggests that trait aggression may be best couched within the nomological network of the Five-Factor Model (FFM). The current work sought to locate the most appropriate home for trait aggression among the FFM. METHOD: We applied a preregistered regimen of psychometric network analyses to three datasets (combined N = 2927) that contained self-reports of trait aggression and the FFM traits. RESULTS: Trait aggression was highly central in the factor-level networks, which contained associations consistent with the conceptualization of this construct as a lower-order component of low agreeableness. The facet-level networks revealed that the behavioral facets of trait aggression reflected low agreeableness, but that the anger and hostility facets reflected high neuroticism. The item-level network suggested that the intent to initiate aggressive encounters was the primary bridge that empirically linked trait aggression to agreeableness. CONCLUSIONS: Our results indicate that trait aggression is primarily a lower-order facet of agreeableness, advance our understanding of trait aggression, integrate it with broader frameworks of personality, and suggest future directions to refine this complex dispositional tendency.

Network Analysis of Neurobehavioral Symptom Patterns in an International Sample of Spanish-Speakers with a History of COVID-19 and Controls.

(1) Background: Psychometric network analysis provides a novel statistical approach allowing researchers to model clusters of related symptoms as a dynamic system. This study applied network analysis to investigate the patterns of somatic, cognitive, and affective neurobehavioral symptoms in an international sample of Spanish-speaking individuals with a history of COVID-19 positivity and non-COVID controls; (2) methods: the sample (n = 1093) included 650 adults from 26 countries who reported having previously tested positive for COVID-19 (COVID+) through a viral and/or antigen test (average of 147 days since diagnosis). The control group (COVID-) was comprised of 443 adults from 20 countries who had completed the survey prior to the COVID-19 pandemic; (3) results: relative to the COVID- network, the COVID+ network was very well-connected, such that each neurobehavioral symptom was positively connected to the network. The organize-to-headache and dizzy-to-balance connections in the COVID+ network were stronger than in the COVID- network. The hearing, numbness, and tense symptoms were more central to the COVID+ network with the latter connected to the sleep, fatigue, and frustrated symptoms. The COVID- network was largely disjointed, with most of the somatosensory symptoms forming their own cluster with no connections to other symptom groups and fatigue not being connected to any other symptom. The cognitive and affective symptoms in the COVID- network were also largely connected to symptoms from within their own groups; (4) conclusions: These findings suggest that many of the long-term neurobehavioral symptoms of COVID-19 form a discernable network and that headaches, frustration, hearing problems, forgetfulness, and tension are the most central symptoms. Cognitive and behavioral rehabilitation strategies targeting these central symptom network features may hold promise to help fracture the lingering symptom network of COVID-19.

Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study.

Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of post-traumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five Veterans Affairs polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.

Neural mechanisms of intimate partner aggression.

People sometimes hurt those they profess to love; yet our understanding of intimate partner aggression (IPA) and its causes remains incomplete. We examined brain activity using functional magnetic resonance imaging (fMRI) in an ethnically and racially diverse sample of 50 female-male, monogamous romantic couples as they completed an aggression task against their intimate partner, a close friend, and a different-sex stranger. Laboratory and real-world IPA were uniquely associated with altered activity within and connectivity between cortical midline structures that subserve social cognition and the computation of value. Men's IPA most corresponded to lower posterior cingulate reactivity during provocation and women's IPA most corresponded to lower ventromedial prefrontal cortex activity during IPA itself. Actor-partner independence modeling suggested women's IPA may correspond to their male partner's neural reactivity to provocation. Broadly, these findings highlight the importance of self-regulatory functions of the medial cortex and away from effortful inhibition subserved by dorsolateral cortices.

Psychophysiological underpinnings of proactive and reactive aggression in young men and women.

Reactive aggression is posited to occur as a result of hypersensitivity to threat, whereas fearlessness may drive proactive aggression. This study aimed to test if physiological fear reactivity differentially relates to self-report reactive and proactive aggression using immersive virtual reality fear (VR) induction. We collected subjective fear ratings and sympathetic (SNS; skin conductance) and parasympathetic (PNS; respiratory sinus arrhythmia) nervous system reactivity during an interactive VR horror video. Results showed that for men and women, reactive aggression was related to heightened SNS fear reactivity. For men, proactive aggression was related to hypoarousal of the PNS and SNS (coinhibition) during fear induction, whereas augmented PNS was related to proactive aggression in women. These results support the fearlessness hypothesis for proactive aggression in men, but this does not replicate in women. By contrast, hypersensitivity to fear is related to reactive aggression for both men and women.

p-Curve analysis of the Taylor Aggression Paradigm: Estimating evidentiary value and statistical power across 50 years of research.

The overall reliability or evidentiary value of any body of literature is established in part by ruling out publication bias for any observed effects. Questionable research practices have potentially undermined the evidentiary value of commonly used research paradigms in psychological science. Subsequently, the evidentiary value of these common methodologies remains uncertain. To quantify the severity of these issues in the literature, we selected the Taylor Aggression Paradigm (TAP) as a case study and submitted 170 hypothesis tests spanning over 50 years of research to a preregistered p-curve analysis. The TAP literature (N = 24,685) demonstrated significant evidentiary value but yielded a small average effect size (d = 0.29) and inadequate power (38%). The main effects demonstrated greater evidentiary value, power, and effect sizes than interactions. Studies that tested the effects of measured traits did not differ in evidentiary value or power to those that tested the effects of experimentally manipulated states. Exploratory analyses revealed that evidentiary value, statistical power, and effect sizes have improved over time. We provide recommendations for researchers who seek to maximize the evidentiary value of their psychological measures.