Principles, policies, and practices: Thoughts on their integration over the rise of the developmental psychopathology perspective and into the future.

Developmental psychopathology has, since the late 20th century, offered an influential integrative framework for conceptualizing psychological health, distress, and dysfunction across the lifespan. Leaders in the field have periodically generated predictions about its future and have proposed ways to increase the macroparadigm's impact. In this paper, we examine, using articles sampled from each decade of the journal Development and Psychopathology's existence as a rough guide, the degree to which the themes that earlier predictions have emphasized have come to fruition and the ways in which the field might further capitalize on the strengths of this approach to advance knowledge and practice in psychology. We focus in particular on two key themes first, we explore the degree to which researchers have capitalized on the framework's capacity for principled flexibility to generate novel work that integrates neurobiological and/or social-contextual factors measured at multiple levels and offer ideas for moving this kind of work forward. Second, we discuss how extensively articles have emphasized implications for intervention or prevention and how the field might amplify the voice of developmental psychopathology in applied settings.

A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.

While one can characterize mental health using questionnaires, such tools do not provide direct insight into the underlying biology. By linking approaches that visualize brain activity to questionnaires in the context of individualized prediction, we can gain new insights into the biology and behavioral aspects of brain health. Resting-state fMRI (rs-fMRI) can be used to identify biomarkers of these conditions and study patterns of abnormal connectivity. In this work, we estimate mental health quality for individual participants using static functional network connectivity (sFNC) data from rs-fMRI. The deep learning model uses the sFNC data as input to predict four categories of mental health quality and visualize the neural patterns indicative of each group. We used guided gradient class activation maps (guided Grad-CAM) to identify the most discriminative sFNC patterns. The effectiveness of this model was validated using the UK Biobank dataset, in which we showed that our approach outperformed four alternative models by 4-18% accuracy. The proposed model's performance evaluation yielded a classification accuracy of 76%, 78%, 88%, and 98% for the excellent, good, fair, and poor mental health categories, with poor mental health accuracy being the highest. The findings show distinct sFNC patterns across each group. The patterns associated with excellent mental health consist of the cerebellar-subcortical regions, whereas the most prominent areas in the poor mental health category are in the sensorimotor and visual domains. Thus the combination of rs-fMRI and deep learning opens a promising path for developing a comprehensive framework to evaluate and measure mental health. Moreover, this approach had the potential to guide the development of personalized interventions and enable the monitoring of treatment response. Overall this highlights the crucial role of advanced imaging modalities and deep learning algorithms in advancing our understanding and management of mental health.

Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults.

OBJECTIVES: To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults. METHOD: The sample included 1,192 participants from the National Alzheimer's Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms. RESULTS: LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics. CONCLUSIONS: Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults.

Sex differences in social communication behaviors in toddlers with suspected autism spectrum disorder as assessed by the ADOS-2 toddler module.

LAY ABSTRACT: When toddlers are suspected of autism spectrum disorder (ASD), the gold-standard assessment technique is with the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) Toddler Module, a behavioral observation system. ASD is a neurodevelopmental condition more frequently diagnosed in toddler boys than in toddler girls. There is some evidence that the ADOS-2 assesses behaviors that are more characteristic of boys with ASD than girls. Thus, it is possible that focusing on these behaviors contributes at least in part to why more boys are diagnosed than girls. Specifically, girls may show more social skills than boys during the ADOS-2 assessment due to their socialization histories, which may lead to missed diagnoses of ASD in toddler girls. The current study examined eight social behaviors assessed by the ADOS-2 in a sample of toddlers with suspected ASD to see if they contributed differently to the total score of those items. Examination of those items suggested that those social communication behaviors work the same for boys and girls with suspected ASD, which was inconsistent with hypotheses. However, examination of particular items raises the possibility of examining creative/imaginative play as an area for future research.

A systematic review and meta-analysis of the association between expressive suppression and positive affect.

People differ in their self-reported propensities to experience positive affect (PA). Even those prone to internalizing symptoms show varied proclivities to PA; social anxiety (SA), for instance, unlike other types of anxiety, shows a strong negative association with PA that cannot be explained by diminished reward sensitivity. Heightened reliance on suppression of emotional displays (expressive suppression; ES) may be an alternate contributor to attenuated PA among people with elevated SA, relative to people with other types of anxiety. A first step toward testing this hypothesis is clarifying the ES-PA association and examining whether it varies as a function of anxiety type (social anxiety vs. other types of anxiety). This meta-analysis (k = 41; n = 11,010) revealed a significant, negative association between ES and PA (r = -0.158); however, this relationship was not significant for individuals with social or other anxiety disorders. Moreover, two moderators (sample culture-Western: r = -0.16; Eastern: r = 0.003; type of emotion suppressed-Negative: r = 0.18; Positive: r = -0.12) accounted for significant heterogeneity in effect sizes. This review synthesizes the literature on ES and PA in healthy and anxious samples; findings suggest moderating variables merit closer attention in future studies.

Human social defeat and approach-avoidance: Escalating social-evaluative threat and threat of aggression increases social avoidance.

Basic research on avoidance by Murray Sidman laid the foundation for advances in the classification, conceptualization and treatment of avoidance in psychological disorders. Contemporary avoidance research is explicitly translational and increasingly focused on how competing appetitive and aversive contingencies influence avoidance. In this laboratory investigation, we examined the effects of escalating social-evaluative threat and threat of social aggression on avoidance of social interactions. During social-defeat learning, 38 adults learned to associate 9 virtual peers with an increasing probability of receiving negative evaluations. Additionally, 1 virtual peer was associated with positive evaluations. Next, in an approach-avoidance task with social-evaluative threat, 1 peer associated with negative evaluations was presented alongside the peer associated with positive evaluations. Approaching peers produced a positive or a probabilistic negative evaluation, while avoiding peers prevented a negative evaluation (and forfeited a positive evaluation). In an approach-avoidance task with social aggression, virtual peers gave and took money away from participants. Escalating social-evaluative threat and aggression increased avoidance, ratings of feeling threatened and threat expectancy and decreased ratings of peer favorableness. These findings underscore the potential of coupling social defeat and approach-avoidance paradigms for translational research on the neurobehavioral mechanisms of social approach-avoidance decision-making and anxiety.

Higher Social Anxiety Severity Predicts Better Cognitive Empathy Performance in Women but Not Men.

Findings regarding relationships between social anxiety and subtypes of empathy have been mixed, and one study suggested that this may be due to moderation by biological sex. The present study examined whether accounting for general anxiety and biological sex clarifies these relationships. Undergraduates (N = 701, 76% female) completed online self-report measures of cognitive and affective empathy, social and general anxiety severity, and a behavioral measure of cognitive empathy (Reading the Mind in the Eyes Task; MIE). Path analysis examined relationships among social and general anxiety severity and affective and cognitive empathy. Model modification indices showed a significant influence of sex on the path from social anxiety severity to MIE accuracy. When the model was re-estimated with this path freed, more socially anxious women, but not men, showed greater MIE accuracy. Across both sexes, general anxiety severity related negatively to self-reported and behavioral (MIE) cognitive empathy. Affective empathy did not relate to either type of anxiety. The use of path analysis to simultaneously account for overlapping variance among measures of anxiety and empathy helps clarify earlier mixed findings on relationships between social anxiety and empathy subtypes.

Attention bias towards threat in African American children exposed to early life trauma.

BACKGROUND: Attentional bias is linked to a range of mood disorders, including posttraumatic stress disorder (PTSD). The present study examined attention bias patterns in African American children exposed to trauma, in order to better understand potential risk factors for PTSD. METHODS: 31 children (ages 8-14) completed an eye-tracking task to assess gaze bias patterns while viewing pairs of emotional and neutral faces. Trauma exposure and PTSD symptoms were assessed in a subsample of children (n = 24). RESULTS: Repeated measures analysis of variance (ANOVA) results examining attention bias indices and gender showed greater attention bias toward angry faces than happy faces (p < 0.01) and toward emotional faces in males than females (p < 0.05). Correlational analyses showed attention bias toward angry faces was associated with greater levels of child trauma exposure (p < 0.05). Based on linear regression analysis, child trauma exposure accounted for 17 % of variance in attention bias toward angry versus neutral faces independent of gender or posttraumatic stress symptoms (p < 0.05). CONCLUSIONS: Trauma exposure in children is related to altered attention bias, via enhanced attention towards threatening cues. Results contribute to evidence that males and females may exhibit different attentional patterns. This study highlights the importance of additional research on attention bias patterns and prospective mental health outcomes across gender and through development.

The role of negative affect in the association between attention bias to threat and posttraumatic stress: An eye-tracking study.

Biased processing of threatening stimuli, including attention toward and away from threat, has been implicated in the development and maintenance of PTSD symptoms. Research examining theoretically-derived mechanisms through which dysregulated processing of threat may be associated with PTSD is scarce. Negative affect, a transdiagnostic risk factor for many types of psychopathology, is one potential mechanism that has yet to be examined. Thus, the present study (n = 92) tested the indirect effect of attention bias on PTSD via negative affect using rigorous eye-tracking methodology in a sample of urban-dwelling, trauma-exposed African-American women. We found support for the hypothesis that attention bias toward threat was indirectly associated with PTSD symptoms through increased negative affect. These results suggest that negative affect may be an important etiological process through which attention bias patterns could impact PTSD symptom severity. Implications for psychological and pharmacological therapeutic interventions targeting threat-related attention biases and negative affect are discussed.

Renewal of fear and avoidance in humans to escalating threat: Implications for translational research on anxiety disorders.

Exposure-based treatment for threat avoidance in anxiety disorders often results in fear renewal. However, little is known about renewal of avoidance. This multimodal laboratory-based treatment study used an ABA renewal design and an approach-avoidance (AP-AV) task to examine renewal of fear/threat and avoidance in twenty adults. In Context A, 9 visual cues paired with increases in probabilistic money loss (escalating threats) produced increases in ratings of feeling threatened and loss expectancies and skin-conductance responses (SCR). During the AP-AV task, a monetary reinforcer was available concurrently with threats. Approach produced the reinforcer or probabilistic loss, while avoidance prevented loss and forfeited reinforcement. Escalating threat produced increasing avoidance and ratings. In Context B with Pavlovian extinction, threats signaled no money loss and SCR declined. During the AP-AV task, avoidance and ratings also declined. In a return to Context A with Pavlovian threat extinction in effect during the AP-AV task, renewal was observed. Escalating threat was associated with increasing ratings and avoidance in most participants. SCR did not show renewal. These are the first translational findings to highlight renewal of avoidance in humans. Further research should identify individual difference variables and altered neural mechanisms that may confer increased risk of avoidance renewal.

Amygdala volume and social anxiety symptom severity: Does segmentation technique matter?

The amygdala factors prominently in neurobiological models of social anxiety (SA), yet amygdala volume findings regarding SA have been inconsistent and largely focused on case-control characterization. One source of discrepant findings could be variability in volumetric techniques. Therefore, we compared amygdala volumes derived via an automated technique (Freesurfer) against a manually corrected approach, also involving Freesurfer. Additionally, we tested whether the relationship between volume and SA symptom severity would differ across volumetric techniques. We pooled participants (n = 76) from archival studies. SA severity was assessed with the Liebowitz Social Anxiety Scale; scores ranged from non-clinical to clinical levels. Freesurfer produced significantly larger amygdalar volumes for participants with poor image quality. Even after excluding such participants, paired sample t-tests showed Freesurfer's boundaries produced significantly larger amygdalar volumes than manually corrected ones, bilaterally. Yet, intra-class correlation coefficients between the two methods were high, which suggests that Freesurfer's over-estimation of amygdala volume was systemic. Regardless of segmentation technique, volumes were not associated with SA symptom severity. Potentially, amygdala sub-regions may yield clearer patterns regarding SA symptoms. Further, our study underscores the importance of image quality for segmentation of the amygdala, and image quality may be particularly valuable when examining anatomical data for subtle inter-individual differences.

Laboratory analogue investigation of defusion and reappraisal strategies in the context of symbolically generalized avoidance.

The present study examined and compared the effects of 2 analogues of cognitive treatments-cognitive defusion and cognitive reappraisal-on symbolically generalized avoidance established using a basic behavioral laboratory paradigm. This back-translation design contributes to the development and validation of principle-based definitions of the applied constructs of defusion and reappraisal. Eighty-eight participants first underwent basic laboratory procedures designed to establish symbolically generalized avoidance in response to an arbitrary stimulus (a nonsense word). Participants were then randomized to defusion, reappraisal, or control conditions. The response variables were (a) equivalence responding-indicative of the trained relational network and analogous to the cognitive content responsible for symbolic generalization-and (b) avoidance-the behavioral impact of symbolic generalization. A between-groups analysis revealed that defusion and reappraisal significantly increased the odds of nonavoidance responding. Discrete-time survival mediation analyses provided preliminary support for the classification of defusion as a functional context intervention and reappraisal as a relational context intervention.

Social Feedback Modulates Neural Response Associated With Cognitive Bias in Individuals Expressing Anxious Symptoms.

BACKGROUND: Social anxiety is characterized by a tendency to overestimate the likelihood of negative outcomes and consequences before, during, and after interpersonal interactions with social partners. Recent evidence suggests that a network of brain regions critical for perspective-taking, threat appraisal, and uncertainty resolution may function atypically in those prone to social anxiety. In this study, we used functional magnetic resonance imaging to examine neural activity in specific regions of interest in a sample of young adults who endorsed high or low levels of social anxiety. METHODS: We recruited 31 college student volunteers (age: 18-28 years), categorized as having high or low anxiety based on their Liebowitz Social Anxiety Scale-Self Report scores. These participants were each scanned while playing the iterated Prisoner's Dilemma game with three computerized confederates, two of whom they were deceived to believe were human co-players. This study focuses on data collected during play with the presumed humans. Regions of interest were defined for the temporoparietal junction, anterior midcingulate, and dorsomedial prefrontal cortex. Average weighted mean blood-oxygen-level-dependent signals for each subject were extracted and analyzed using mixed design analyses of variance to detect group differences in activation during decision-making, anticipation, and appraisal of round outcomes during the game. RESULTS: Behavior analysis revealed that the high-anxiety group was more likely to defect than the low-anxiety group. Neuroimaging analysis showed that the high-anxiety group exhibited elevated blood-oxygen-level-dependent activity relative to the low-anxiety group in all three regions during the social feedback appraisal phase but not during decision-making or the anticipation of interaction outcomes. CONCLUSIONS: These findings provide evidence that some behaviors linked to cognitive biases associated with social anxiety may be mediated by a network of regions involved in recognizing and processing directed social information. Future investigation of the neural basis of cognition and bias in social anxiety using the prisoner's dilemma and other economic-exchange tasks is warranted. These tasks appear to be highly effective, functional magnetic resonance imaging-compatible methods of probing altered cognition and behavior associated with anxiety and related conditions.

Understanding associations between negatively biased attention and depression and social anxiety: positively biased attention is key.

Background and objectives: Although research supports the premise that depressed and socially anxious individuals direct attention preferentially toward negative emotional cues, little is known about how attention to positive emotional cues might modulate this negative attention bias risk process. The purpose of this study was to determine if associations between attention biases to sad and angry faces and depression and social anxiety symptoms, respectively, would be strongest in individuals who also show biased attention away from happy faces. Methods: Young adults (N = 151; 79% female; M = 19.63 years) completed self-report measures of depression and social anxiety symptoms and a dot probe task to assess attention biases to happy, sad, and angry facial expressions. Results: Attention bias to happy faces moderated associations between attention to negatively valenced faces and psychopathology symptoms. However, attention bias toward sad faces was positively and significantly related to depression symptoms only for individuals who also selectively attended toward happy faces. Similarly, attention bias toward angry faces was positively and significantly associated with social anxiety symptoms only for individuals who also selectively attended toward happy faces. Conclusions: These findings suggest that individuals with high levels of depression or social anxiety symptoms attend preferentially to emotional stimuli across valences.

Attention bias toward threatening faces in women with PTSD: eye tracking correlates by symptom cluster.

Maladaptive patterns of attention to emotional stimuli are a common feature of posttraumatic stress disorder (PTSD), with growing evidence supporting sustained attention to threatening stimuli across trauma samples. However, it remains unclear how different PTSD symptom clusters are associated with attentional bias patterns, particularly in urban civilian settings with high rates of trauma exposure and PTSD. The present study examined associations among these variables in 70 traumatized primarily African American women. PTSD was measured using the Clinician Administered PTSD Scale, and eye tracking was used to measure patterns of attention as participants engaged in an attention bias (dot probe) task to emotional faces; average initial fixation (1 s) and dwell duration (overall time spent looking at emotional face versus neutral face across the 5 s task) were used to assess attention bias patterns toward emotional faces. Women with PTSD showed significantly longer dwell duration toward angry faces than women without PTSD (F = 5.16, p < .05). Bivariate correlation analyses with the PTSD symptom clusters showed a significant association between average initial fixation toward angry faces and higher levels of avoidance symptoms (r = 0.29, p < .05) as well as sustained attention to angry faces and higher levels of re-experiencing symptoms (r = 0.24, p < .05). Using separate linear regression models based on initial significant correlations, we found that PTSD avoidance symptoms were significantly related to average initial fixation toward angry faces (R 2 ∆ = 0.09, p < .05) and PTSD re-experiencing symptoms were significantly related to dwell duration toward angry faces (R 2 ∆ = 0.06, p < .05). These findings contribute to evidence that PTSD is related to both initial vigilance and sustained attention to threat and that certain symptom clusters may either drive or be more impacted by attentional biases, highlighting the benefits of addressing attentional biases within treatment.

Los patrones desaptativos de atención a estímulos emocionales son una característica común del trastorno de estrés postraumático (TEPT), con evidencias crecientes que respaldan el rol de la atención sostenida hacia estímulos amenazadores a través de muestras de traumas. Sin embargo, aún permanece poco claro cómo diferentes conglomerados de síntomas de TEPT se asocian con los patrones de sesgo atencional, especialmente en entornos civiles urbanos con altas tasas de exposición al trauma y TEPT. El presente estudio examinó las asociaciones entre estas variables en 70 mujeres traumatizadas principalmente afroamericanas. El TEPT se midió utilizando la Escala de TEPT Administrada por el Medico, y el seguimiento ocular se usó para medir los patrones de atención cuando los participantes se involucraron en una tarea de sesgo atencional (sonda de puntos) a las caras emocionales; la fijación inicial promedio (1 segundo) y la duración de permanencia (tiempo total dedicado a mirar la cara emocional en contraste a la cara neutral en la tarea de 5 segundos) se utilizaron para evaluar los patrones de sesgo de atención hacia las caras emocionales. Las mujeres con TEPT mostraron una duración de permanencia de la mirada significativamente más prolongada hacia las caras enojadas que las mujeres sin TEPT (F = 5.16, p <.05). Los análisis de correlación bivariada con los conglomerados de síntomas de TEPT mostraron una asociación significativa entre la fijación inicial promedio hacia las caras enojadas y los niveles más altos de síntomas de evitación (r = 0.29, p <.05), así como la atención sostenida a las caras enojadas y niveles más altos los síntomas de re-experimentación (r = 0.24, p <.05). Usando modelos de regresión lineal separados basados en correlaciones significativas iniciales, encontramos que los síntomas de evitación de TEPT se relacionaron significativamente con la fijación inicial promedio hacia caras de enojo (R2∆=0.09, p<0.05) y los síntomas de re-experimentación de TEPT se relacionaron significativamente con la duración de permanencia hacia caras enojadas (R2∆=0.06, p<0.05). Estos hallazgos contribuyen a la evidencia de que el TEPT está relacionado con la vigilancia inicial y la atención sostenida a la amenaza y que ciertos conglomerados de síntomas pueden impulsar o verse más afectados por los sesgos atencionales, destacando los beneficios de abordar los sesgos atencionales dentro del tratamiento.

Cognitive Predictors of Parental Rescue Behavior and Malleability of Behavior Using a Brief Psychoeducation Intervention.

Cognitive factors, such as beliefs that anxiety is harmful, may lead parents to engage excessively in over-controlling parenting practices, such as "rescuing" children from distress. The present study examined whether parental rescue behavior, or the speed at which parents intervened to rescue an increasingly distressed child during an audio paradigm, was associated with beliefs about child anxiety. We also evaluated the impact of psychoeducation on rescue behavior during the audio paradigm. A nonclinical sample of 310 parents was recruited from an online crowdsourcing platform. Findings support the hypothesis that parents' stronger beliefs that anxiety is harmful relate to parents' faster speed of rescue. Additionally, participants who received psychoeducation delayed their rescue responses more than did participants who received benign information. Findings add to the growing body of evidence that cognitive factors contribute to countertherapeutic parent behavior and indicate that psychoeducation can be an important component of family-based child anxiety treatment.

The Network Structure of Schizotypal Personality Traits.

Elucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites (M age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar (r = .74), node centrality was similar across networks (r = .90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure (r = 0.44), node centrality (r = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics.

Comparisons of schizotypal traits across 12 countries: Results from the International Consortium for Schizotypy Research.

BACKGROUND: Schizotypal traits are expressions of underlying vulnerability to psychotic disorders which have a potential impact on mental health status, neurocognition, quality of life, and daily functioning. To date, little research has examined epidemiologic landscape of schizotypal traits at the cross-national level. Our aim was to study the expression of schizotypal traits by sex, age, and country in a combined sample gathered from 12 countries. METHODS: A total of 27,001 participants completed the Schizotypal Personality Questionnaire (SPQ). The mean age of participants was 22.12 (SD=6.28); 37.5% (n=10,126) were males. RESULTS: Schizotypal traits varied according to sex, age, and country. Females scored higher than males in the positive dimension, whereas males scored higher in the disorganization dimension. By age, a significant decrease in the positive schizotypal traits was observed. Epidemiological expression of schizotypal traits varied by country. Moreover, several interactions by sex, age, and country were found. CONCLUSIONS: This pattern is similar to those found in patients with psychosis and psychotic-like experiences. These findings provide new insights and the opportunity to explore the phenotypic expression of schizotypal traits at cross-national level.

Brief assessment of schizotypal traits: A multinational study.

The Schizotypal Personality Questionnaire-Brief (SPQ-B) was developed with the aim of examining variations in healthy trait schizotypy, as well as latent vulnerability to psychotic-spectrum disorders. No previous study has studied the cross-cultural validity of the SPQ-B in a large cross-national sample. The main goal of the present study was to analyze the reliability and the internal structure of SPQ-B scores in a multinational sample of 28,426 participants recruited from 14 countries. The mean age was 22.63years (SD=7.08; range 16-68years), 37.7% (n=10,711) were men. The omega coefficients were high, ranging from 0.86 to 0.92 for the total sample. Confirmatory factor analysis revealed that SPQ-B items were grouped either in a theoretical structure of three first-order factors (Cognitive-Perceptual, Interpersonal, and Disorganized) or in a bifactor model (three first-order factors plus a general factor of schizotypal personality). In addition, the results supported configural but not strong measurement invariance of SPQ-B scores across samples. These findings provide new information about the factor structure of schizotypal personality, and support the validity and utility of the SPQ-B, a brief and easy tool for assessing self-reported schizotypal traits, in cross-national research. Theoretical and clinical implications for diagnostic systems, psychosis models, and cross-national mental health strategies are derived from these results.

Sources of implicit and explicit intergroup race bias among African-American children and young adults.

Implicit intergroup bias emerges early in development, are typically pro-ingroup, and remain stable across the lifespan. Such findings have been interpreted in terms of an automatic ingroup bias similar to what is observed with minimal groups paradigms. These studies are typically conducted with groups of high cultural standing (e.g., Caucasians in North America and Europe). Research conducted among culturally lower status groups (e.g., African-Americans, Latino-Americans) reveals a notable absence of an implicit ingroup bias. Understanding the environmental factors that contribute to the absence of an implicit ingroup bias among people from culturally lower status groups is critical for advancing theories of implicit intergroup cognition. The present study aimed to elucidate the factors that shape racial group bias among African-American children and young adults by examining their relationship with age, school composition (predominantly Black schools or racially mixed schools), parental racial attitudes and socialization messages among African-American children (N = 86) and young adults (N = 130). Age, school-type and parents' racial socialization messages were all found to be related to the strength of pro-Black (ingroup) bias. We also found that relationships between implicit and explicit bias and frequency of parents' racial socialization messages depended on the type of school participants attended. Our results highlight the importance of considering environmental factors in shaping the magnitude and direction of implicit and explicit race bias among African-Americans rather than treating them as a monolithic group.