The separate and joint effects of recent interpersonal abuse and cannabis use on psychotic experiences: findings from students in higher education in the United States.

BACKGROUND: Various forms of interpersonal abuse (e.g., physical, emotional, sexual) and cannabis use across the lifespan have both been known to increase odds of psychotic experiences; however, there have been few studies examining their separate and joint effects in the United States. METHODS: We analyzed data from the Healthy Minds Study (2020-2021) and used multivariable logistic regression and interaction contrast ratios to assess separate and joint effects of interpersonal abuse (past 12 months) and cannabis use (past 30 days) on psychotic experiences (past 12 months). RESULTS: Students who only used cannabis had significantly greater odds of psychotic experiences (aOR: 1.70; 95% CI 1.58-1.82), as well as those who only experienced interpersonal abuse (aOR: 2.40; 95% CI 2.25-2.56). However, those who reported both cannabis use and interpersonal abuse had the greatest odds, exceeding the sum of these individual effects (the combined effect aOR: 3.46; 95% CI 3.19-3.76). CONCLUSIONS: Recent interpersonal abuse and recent cannabis use both separately and jointly increase odds of having recent psychotic experiences. Future research should continue to examine the potential interactive and additive impact of multiple known exposures to better inform primary and secondary prevention efforts.

Strengthening associations between psychotic like experiences and suicidal ideation and behavior across middle childhood and early adolescence.

BACKGROUND: Understanding risk factors related to suicidal ideation (SI) and suicidal behaviors (SB) in youth is important for informing prevention and intervention efforts. While it appears that psychotic-like experiences (PLEs) are strongly associated with both SI and SB at different points across the lifespan, the longitudinal nature of this relationship in middle childhood and early adolescence is understudied. METHODS: The study used the unique longitudinal Adolescent Brain Cognitive Development Study data. Mixed effects linear models examined associations between PLEs and SI and SB over time using three time points of data from ages 9-13. RESULTS: First, analyses indicated that endorsement of SI and SB increased as youth grew older for those with increased distressing PLEs. Analyses found evidence of bidirectional relationships between PLEs with SI and SB, with evidence that PLEs at baseline were associated with worsening SI and SB over time, including a transition from SI to SB (ß = 0.032, FDRp = 0.002). Exploratory analyses showed consistent evidence for strengthened associations over time for higher delusional ideation with both SI and SB (ßs > 0.04, FDRps < 0.001), and for perceptual distortions with SB (ßs = 0.046, FDRp < 0.001). When accounting for general psychopathology, for SB, the strengthened associations over time was significantly stronger for PLEs (ß = 0.053, FDRp < 0.001) compared to general psychopathology (ß = 0.022, FDRp = 0.01). CONCLUSIONS: The present study indicates both SI and SB show strengthened associations with PLEs over time, and that baseline PLEs may predict worsening of suicidality over time. The findings are important clarifications about the nature of the associations between youth-reported PLEs and suicidality over time.

Characterizing Alcohol Expectancies in the ABCD Study: Associations with Sociodemographic Factors, the Immediate Social Environment, and Genetic Propensities.

Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child's religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.

A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study.

Genetic risk for Late Onset Alzheimer Disease (AD) has been associated with lower cognition and smaller hippocampal volume in healthy young adults. However, whether these and other associations are present during childhood remains unclear. Using data from 5556 genomically-confirmed European ancestry youth who completed the baseline session of the ongoing the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®), our phenome-wide association study estimating associations between four indices of genetic risk for late-onset AD (i.e., AD polygenic risk scores (PRS), APOE rs429358 genotype, AD PRS with the APOE region removed (ADPRS-APOE), and an interaction between ADPRS-APOE and APOE genotype) and 1687 psychosocial, behavioral, and neural phenotypes revealed no significant associations after correction for multiple testing (all ps > 0.0002; all pfdr > 0.07). These data suggest that AD genetic risk may not phenotypically manifest during middle-childhood or that effects are smaller than this sample is powered to detect.

Persistent and distressing psychotic-like experiences using adolescent brain cognitive development℠study data.

Childhood psychotic-like experiences (PLEs) are associated with a range of impairments; a subset of children experiencing PLEs will develop psychiatric disorders, including psychotic disorders. A potential distinguishing factor between benign PLEs versus PLEs that are clinically relevant is whether PLEs are distressing and/or persistent. The current study used three waves of Adolescent Brain Cognitive Development℠ (ABCD) study PLEs assessments to examine the extent to which persistent and/or distressing PLEs were associated with relevant baseline risk factors (e.g., cognition) and functioning/mental health service utilization domains. Four groups varying in PLE persistence and distress endorsement were created based on all available data in ABCD Release 3.0, with group membership not contingent on complete data: persistent distressing PLEs (n = 272), transient distressing PLEs (n = 298), persistent non-distressing PLEs (n = 221), and transient non-distressing PLEs (n = 536) groups. Using hierarchical linear models, results indicated youth with distressing PLEs, whether transient or persistent, showed delayed developmental milestones (ß = 0.074, 95%CI:0.013,0.134) and altered structural MRI metrics (ß = -0.0525, 95%CI:-0.100,-0.005). Importantly, distress interacted with PLEs persistence for the domains of functioning/mental health service utilization (ß = 0.079, 95%CI:0.016,0.141), other reported psychopathology (ß = 0.101, 95%CI:0.030,0.170), cognition (ß = -0.052, 95%CI:0.-0.099,-0.002), and environmental adversity (ß = 0.045, 95%CI:0.003,0.0.86; although no family history effects), with the interaction characterized by greatest impairment in the persistent distressing PLEs group. These results have implications for disentangling the importance of distress and persistence for PLEs with regards to impairments, including functional, pathophysiological, and environmental outcomes. These novel longitudinal data underscore that it is often only in the context of distress that persistent PLEs were related to impairments.

Adolescent Mental Health and Family Economic Hardships: The Roles of Adverse Childhood Experiences and Family Conflict.

Rising and economically disproportionate rates of adverse mental health outcomes among children and youth warrant research investigating the complex pathways stemming from socioeconomic status. While adverse childhood experiences (ACEs) have been considered a possible mechanism linking socioeconomic status (SES) and child and youth psychopathology in previous studies, less is understood about how family environments might condition these pathways. Using data from a longitudinal, multiple-wave study, the present study addresses this gap by examining the direct relationships between family economic status and youth internalizing and externalizing symptoms, if ACEs mediate these relationships, and if conflictual family environments moderate these direct and indirect relationships. The data were obtained from 5510 youth participants [mean age at baseline = 9.52 (SD = 0.50), 47.7% female, 2.1% Asian, 10.3% Black, 17.6% Hispanic, 9.8% Multiracial/Multiethnic, 60.2% White] and their caretakers from the baseline, 1-year, and 2-year follow up waves. Conditional process analysis assessed the direct, indirect, and moderated relationships in separate, equivalent models based on youth- versus caregiver-raters of ACEs and youth psychopathology to capture potential differences based on the rater. The results of both the youth- and caregiver-rated models indicated that lower family economic status directly predicted higher levels of externalizing symptoms, and ACEs indirectly accounted for higher levels of internalizing and externalizing symptoms. Additionally, family conflict moderated some, but not all, of these relationships. The study's findings highlight that lower family economic status and ACEs, directly and indirectly, contribute to early adolescent psychopathology, and conflictual family environments can further intensify these relationships. Implementing empirically supported policies and interventions that target ACEs and family environments may disrupt deleterious pathways between SES and youth psychopathology.

Examining associations between two different jumping to conclusions scores with positive schizotypy and recent distress.

Introduction: Jumping to conclusions is associated with delusions. It is unclear whether positive schizotypy, which refers to delusion-like and hallucination-like symptoms, is associated with jumping to conclusions. Relatedly, the relative validity of two jumping to conclusions scores, extreme responding and draws to decision, is unclear, particularly whether extreme responding (responding after one or two draws) reflects the same bias as decreased draws to decision on non-extreme responding trials.Methods: Extreme positive schizotypy individuals with increased psychosis risk (n = 69) and controls (n = 95) completed the Probabilistic Reasoning Task and reported on recent distress, which was previously associated with jumping to conclusions. We calculated extreme responding, draws to decision (number of draws), and draws to decision/non-extreme responding (number of draws on trials with three or more draws).Results: Positive schizotypy was associated with extreme responding, but not draws to decision/non-extreme responding. Furthermore, draws to decision and draws to decision/non-extreme responding were associated with recent distress, whereas extreme responding was not.Conclusion: Positive schizotypy was specifically associated with extreme responding and not draws to decision/non-extreme responding, which suggests that the nature of extreme responding and of draws to decision might be different. This could have relevance for assessing and treating jumping to conclusions.

Psychosis risk is associated with decreased resting-state functional connectivity between the striatum and the default mode network.

Psychosis is linked to aberrant salience or to viewing neutral stimuli as self-relevant, suggesting a possible impairment in self-relevance processing. Psychosis is also associated with increased dopamine in the dorsal striatum, especially the anterior caudate (Kegeles et al., 2010). Critically, the anterior caudate is especially connected to (a) the cortical default mode network (DMN), centrally involved in self-relevance processing, and (b) to a lesser extent, the cortical frontoparietal network (FPN; Choi, Yeo, & Buckner, 2012). However, no previous study has directly examined striatal-cortical DMN connectivity in psychosis risk. In Study 1, we examined resting-state functional connectivity in psychosis risk (n = 18) and control (n = 19) groups between (a) striatal DMN and FPN subregions and (b) cortical DMN and FPN. The psychosis risk group exhibited decreased connectivity between the striatal subregions and the cortical DMN. In contrast, the psychosis risk group exhibited intact connectivity between the striatal subregions and the cortical FPN. Additionally, recent distress was also associated with decreased striatal-cortical DMN connectivity. In Study 2, to determine whether the decreased striatal-cortical DMN connectivity was specific to psychosis risk or was related to recent distress more generally, we examined the relationship between connectivity and distress in individuals diagnosed with nonpsychotic emotional distress disorders (N = 25). In contrast to Study 1, here we found that distress was associated with evidence of increased striatal-cortical DMN connectivity. Overall, the present results suggest that decreased striatal-cortical DMN connectivity is associated with psychosis risk and could contribute to aberrant salience.

Cognitive Deficits in Psychotic Disorders: A Lifespan Perspective.

Individuals with disorders that include psychotic symptoms (i.e. psychotic disorders) experience broad cognitive impairments in the chronic state, indicating a dimension of abnormality associated with the experience of psychosis. These impairments negatively impact functional outcome, contributing to the disabling nature of schizophrenia, bipolar disorder, and psychotic depression. The robust and reliable nature of cognitive deficits has led researchers to explore the timing and profile of impairments, as this may elucidate different neurodevelopmental patterns in individuals who experience psychosis. Here, we review the literature on cognitive deficits across the life span of individuals with psychotic disorder and psychotic-like experiences, highlighting the dimensional nature of both psychosis and cognitive ability. We identify premorbid generalized cognitive impairment in schizophrenia that worsens throughout development, and stabilizes by the first-episode of psychosis, suggesting a neurodevelopmental course. Research in affective psychosis is less clear, with mixed evidence regarding premorbid deficits, but a fairly reliable generalized deficit at first-episode, which appears to worsen into the chronic state. In general, cognitive impairments are most severe in schizophrenia, intermediate in bipolar disorder, and the least severe in psychotic depression. In all groups, cognitive deficits are associated with poorer functional outcome. Finally, while the generalized deficit is the clearest and most reliable signal, data suggests specific deficits in verbal memory across all groups, specific processing speed impairments in schizophrenia and executive functioning impairments in bipolar disorder. Cognitive deficits are a core feature of psychotic disorders that provide a window into understanding developmental course and risk for psychosis.

Evidence for Environmental Risk Factors and Cumulative Stress Linking Racial/Ethnic Identity and Psychotic-Like Experiences in ABCD Study Data.

OBJECTIVE: Previous work has found increased endorsement of psychotic-like experiences (PLEs) among marginalized racial and ethnic groups. According to social determinants frameworks, marginalized groups are at increased risk for exposure to socio-environmental risk factors, including systemic factors (eg, poverty and poor housing conditions) and social stressors (eg, discrimination). We examine the extent to which environmental risk factors and stress account for associations between racial/ethnic groups with PLEs. METHOD: Analyses included 11,876 young adolescents 9 to 10 years of age from the Adolescent Brain Cognitive Development (ABCD) study. Mediation models assessed whether stress at 1-year follow-up indirectly linked baseline environmental risk to later distressing PLEs at 2-year follow-up. Serial mediation models examined whether environmental risk and stress indirectly accounted for variation among racial/ethnic groups in self-reported distressing PLEs. RESULTS: Through principal component and mediation analyses, we found evidence that the link between environmental risk (eg, poverty and exposure to crime) and distressing PLEs was mediated by stress. There was also evidence that higher endorsement of distressing PLEs within the Black and Hispanic groups was serially mediated by greater environmental risk and greater stress. CONCLUSION: The analyses provide evidence that the associations between marginalized racial and ethnic identities with the endorsement of PLEs partially reflects the sequelae of systemic socio-environmental factors. Findings suggest the potential for intervening upon environmental risk factors to target the reduction of cumulative stress over time, which may in turn buffer against the development of PLEs. DIVERSITY INCLUSION STATEMENT: We worked to ensure sex and gender balance in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote sex and gender balance in our author group. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way.

Examining the Most Important Risk Factors Predicting Persistent and Distressing Psychotic-like Experiences in Youth.

BACKGROUND: Persistence and distress distinguish more clinically significant psychotic-like experiences (PLEs) from those that are less likely to be associated with impairment and/or need for care. Identifying risk factors that differentiate clinically relevant PLEs early in development is important for improving our understanding of the etiopathogenesis of these experiences. Machine learning analyses examined the most important baseline factors distinguishing persistent distressing PLEs. METHODS: Using Adolescent Brain Cognitive Development Study PLEs data over three time points (ages 9-13), individuals with persistent distressing PLEs (n=303), transient distressing PLEs (n=374), and demographically matched low-level PLEs groups were created. Random forest classification models were trained to distinguish among persistent distressing vs. low-level PLEs, transient distressing vs. low-level PLEs, and persistent distressing vs. transient distressing PLEs. Models were trained using identified baseline predictors as input features (i.e., cognitive, neural [cortical thickness, resting state functional connectivity (RSFC)], developmental milestone delays, internalizing symptoms, adverse childhood events). RESULTS: The model distinguishing persistent distressing vs. low-level PLEs showed the highest accuracy (test sample accuracy=69.33%; 95% CI:61.29%-76.59%). The most important predictors included internalizing symptoms, adverse childhood events, and cognitive functioning. Models distinguishing persistent vs. transient distressing PLEs generally performed poorly. CONCLUSIONS: Model performance metrics indicated that while most important factors overlapped across models (e.g., internalizing symptoms), adverse childhood events were especially important for predicting persistent distressing PLEs. Machine learning analyses proved useful for distinguishing the most clinically relevant group from the least clinically relevant group but showed limited ability to distinguish among clinically relevant groups that differed in PLE persistence.

Ethno-racial disparities in psychosis-like experiences among students in higher education: Findings from the Healthy Minds Study 2020-2021.

BACKGROUND: Ethno-racial variations of psychosis-like experiences exist in the general population; however, it is unknown whether this variation exists among emerging adults in higher education, and whether there are differences across ethnic groups within racial categories. METHODS: Using the Health Minds Study data from 2020 to 2021, we used multivariable logistic regression models to examine race/ethnicity and psychosis-like experiences, adjusting for socio-demographic characteristics (age, gender, international student status). We then adjusted for food insecurity, parental education, and social belonging. RESULTS: Black, Hispanic/Latinx, multiracial, and American Indian/Alaska Native students had greater odds of 12-month psychosis-like experiences when compared with White students. These associations attenuated and were no longer statistically significant for Black and Hispanic/Latinx students after adjusting for food insecurity and parental education. Multiracial and American Indian/Alaska Native students still had greater odds of psychosis-like experiences after further adjusting for sense of belonging. When looking at ethnic subgroups, Filipinx and multi-ethnic Asian students had significantly greater odds than East Asian students, and multi-ethnic Black students had greater odds than African Americans. CONCLUSION: Odds of psychosis-like experiences vary across and within ethno-racial categories among emerging adults in higher education. Future research may explore psychosis as a disparity impacting Native American/Alaska Native and multiracial/multi-ethnic populations.

A site-wise reliability analysis of the ABCD diffusion fractional anisotropy and cortical thickness: impact of scanner platforms.

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce non-biological variances including scanner-related variations, subject motion, and deviations from protocols. ABCD imaging data were collected biennially within a period of ongoing maturation in cortical thickness and integrity of cerebral white matter. These changes can bias the classical test-retest methodologies, such as intraclass correlation coefficients (ICC). We developed a site-wise adaptive ICC (AICC) to evaluate the reliability of imaging-derived phenotypes while accounting for ongoing brain development. AICC iteratively estimates the population-level age-related brain development trajectory using a weighted mixed model and updates age-corrected site-wise reliability until convergence. We evaluated the test-retest reliability of regional fractional anisotropy (FA) measures from diffusion tensor imaging and cortical thickness (CT) from structural MRI data for each site. The mean AICC for 20 FA tracts across sites was 0.61±0.19, lower than the mean AICC for CT in 34 regions across sites, 0.76±0.12. Remarkably, sites using Siemens scanners consistently showed significantly higher AICC values compared to those using GE/Philips scanners for both FA (AICC=0.71±0.12 vs 0.46±0.17, p<0.001) and CT (AICC=0.80±0.10 vs 0.69±0.11, p<0.001). These findings demonstrate site-and-scanner related variations in data quality and underscore the necessity for meticulous data curation in subsequent association analyses.

Cognitive Dysfunction as a Risk Factor for Psychosis.

The current chapter summarizes recent evidence for cognition as a risk factor for the development of psychosis, including the range of cognitive impairments that exist across the spectrum of psychosis risk symptoms. The chapter examines several possible theories linking cognitive deficits with the development of psychotic symptoms, including evidence that cognitive deficits may be an intermediate risk factor linking genetic and/or neural metrics to psychosis spectrum symptoms. Although there is not strong evidence for unique cognitive markers associated specifically with psychosis compared to other forms of psychopathology, psychotic disorders are generally associated with the greatest severity of cognitive deficits. Cognitive deficits precede the development of psychotic symptoms and may be detectable as early as childhood. Across the psychosis spectrum, both the presence and severity of psychotic symptoms are associated with mild to moderate impairments across cognitive domains, perhaps most consistently for language, cognitive control, and working memory domains. Research generally indicates the size of these cognitive impairments worsens as psychosis symptom severity increases. The chapter points out areas of unclarity and unanswered questions in each of these areas, including regarding the mechanisms contributing to the association between cognition and psychosis, the timing of deficits, and whether any cognitive systems can be identified that function as specific predictors of psychosis risk symptoms.

Associations with youth psychotic-like experiences over time: Evidence for trans-symptom and specific cognitive and neural risk factors.

The current study examined whether impairments in cognitive and neural factors at baseline (ages 9-10) predict initial levels or changes in psychotic-like experiences (PLEs) and whether such impairments generalize to other psychopathology symptoms (i.e., internalizing and externalizing symptoms). Using unique longitudinal Adolescent Brain Cognitive Development Study data, the study examined three time points from ages 9 to 13. Univariate latent growth models examined associations between baseline cognitive and neural metrics with symptom measures using discovery (n = 5,926) and replication (n = 5,952) data sets. For symptom measures (i.e., PLEs, internalizing, externalizing), we examined mean initial levels (i.e., intercepts) and changes over time (i.e., slopes). Predictors included neuropsychological test performance, global structural MRI, and several a priori within-network resting-state functional connectivity metrics. Results showed a pattern whereby baseline cognitive and brain metric impairments showed the strongest associations with PLEs over time. Lower cognitive, volume, surface area, and cingulo-opercular within-network connectivity metrics showed associations with increased PLEs and higher initial levels of externalizing and internalizing symptoms. Several metrics were uniquely associated with PLEs, including lower cortical thickness with higher initial PLEs and lower default mode network connectivity with increased PLEs slopes. Neural and cognitive impairments in middle childhood were broadly associated with increased PLEs over time, and showed stronger associations with PLEs compared with other psychopathology symptoms. The current study also identified markers potentially uniquely associated with PLEs (e.g., cortical thickness). Impairments in broad cognitive metrics, brain volume and surface area, and a network associated with information integration may represent risk factors for general psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Regional Vulnerability Indices in Youth With Persistent and Distressing Psychoticlike Experiences.

Importance: Distressing and persistent psychoticlike experiences (PLEs) in youth are associated with greater odds of developing psychiatric conditions in adulthood. Despite this risk, it is unclear whether early PLEs show similar brain patterns compared with adults with psychiatric and neurologic conditions. Objective: To examine the degree to which persistent and distressing PLEs exhibit neural metrics that show similarity to adults with chronic psychiatric and neurologic conditions. Design, Setting, and Participants: This cohort study used Adolescent Brain Cognitive Development (ABCD) Study examining the persistence and distress associated with PLEs across the first 3 waves of data with baseline structural magnetic resonance imaging data. Analyzed data were collected between September 1, 2016, and September 27, 2021. Children were recruited from 21 research sites across the US. Exposures: Psychoticlike experiences were assessed using the Prodromal Questionnaire-Brief Child Version, and participants were categorized into groups based on the persistence and distress associated with PLEs. Main Outcomes and Measures: Cortical and subcortical regional vulnerability indices (RVIs) were created by quantifying the similarity of participants' baseline neuroimaging measures to the expected patterns found in adult neuropsychiatric samples. The PLE groups were compared on the following RVI cortical and subcortical metrics: schizophrenia spectrum disorders, bipolar disorder, major depressive disorder, Parkinson disease, Alzheimer disease, and metabolic diseases. Results: Analyses examined PLE groups created from 8242 children in the ABCD sample (52.5% male; mean [SD] age, 9.93 [0.63] years; and 56.3% White), including persistent distressing PLEs (n = 329), transient distressing PLEs (n = 396), persistent nondistressing PLEs (n = 234), transient nondistressing PLEs (n = 390), and low distressing PLEs (n = 6893) groups. Participants with persistent or transient distressing PLEs broadly showed increased subcortical RVI scores across most RVI metrics, with persistent distressing PLEs additionally showing increased scores for cortical RVI metrics. The greatest effect sizes were found for persistent distressing PLEs with cortical RVI-schizophrenia spectrum disorders (ß estimate, 1.055; 95% CI, 0.326-1.786) and RVI-Alzheimer disease (ß estimate, 2.473; 95% CI, 0.930-4.018). Conclusions and Relevance: In this cohort study of ABCD participants, the findings suggest that especially the persistent distressing PLEs in children were associated with neural metrics resembling those observed in adults with severe psychiatric and neurologic conditions. These findings support the potential use of brain-based risk scores for early identification and precision medicine approaches in the assessment of PLEs.

Religiousness and psychotic experiences among young adult college students in the United States.

BACKGROUND: Religiousness and psychotic experiences have been related, though findings have been mixed, with little attention paid to specific religious affiliations and religious importance. METHODS: We analyzed data from the Healthy Minds Study (2020-2021), which was an online survey administered at 140 college campuses across the United States. We used multivariable logistic regression to examine the associations between religiousness (affiliation and importance) and 12-month psychotic experiences, adjusting for age, gender, and race/ethnicity. RESULTS: Only Christian religious affiliation was associated with lower odds of psychotic experiences (aOR: 0.79; 95% CI: 0.75, 0.84), while Non-Christian religious affiliation (aOR: 1.34; 95% CI: 1.19, 1.50) and Multiple religious affiliation s were associated with greater odds (aOR: 1.28; 95% CI: 1.15, 1.42). Overall, increased religious importance was associated with lower odds of psychotic experiences (aOR: 0.96; 95% CI: 0.94-0.99). After stratifying by affiliation, religious importance was only associated with lower odds of psychotic experiences among people who identified as Other Christian, Mormon, and Other World Religion. Religious importance was associated with greater odds of psychotic experiences among Atheists, Agnostics, Buddhists, Nothing in Particular, and Multiple Religions. CONCLUSION: Religious affiliation and importance had varying associations with psychotic experiences, depending on type of religious affiliation. More research is needed to explore the modifying effects of religiousness. Responsiveness to religious beliefs and practices may be critical when assessing risk for psychosis.

Distress related to psychotic experiences: Enhancing the world health organization composite international diagnostic interview psychosis screen.

BACKGROUND: The abbreviated version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) psychosis screen tends to yield high prevalence in online samples. Psychotic Experiences (PE) may not necessarily indicate current or imminent psychopathology; however, distressing PE appear to be more clinically informative. METHODS: We analyzed data collected from an online survey administered to a Qualtrics panel (N = 2522 adults). Using multivariable logistic regression, we examined the association between PE (with and without associated distress) and several mental health outcomes, adjusting for age, gender, and race/ethnicity. RESULTS: Individuals with distressing PE had greater odds of most mental health outcomes when compared with individuals with non-distressing PE. This was true for being in mental health treatment, loneliness, probable mental illness, suicidal ideation, and suicide attempt, adjusting for age, gender, race/ethnicity, and education level. The only exception was for hazardous alcohol use, for which there was no significant association with distressing PE. CONCLUSION: As screening for PE gains traction in public health and preventive medicine, using an abbreviated version of the WHO CIDI psychosis screen may be clinically informative, especially when eliciting the distressful nature of PE.

Ethno-racial variation in psychotic experiences in the United States: Findings from the National Latino and Asian American Survey and the National Survey of American Life.

BACKGROUND: Ethno-racial differences in psychosis risk are documented; however, there is less research on whether these differences extend to sub-threshold psychotic experiences, and whether there is significant variation within ethno-racial categories. METHODS: We analyzed data from the National Latino and Asian American Survey (NLAAS) and the National Survey of American Life (NSAL). Using multivariable logistic regression, we examined the association between race/ethnicity and lifetime psychotic experiences among Latino, Asian, and Black adults in the general population, adjusting for gender, age, nativity, education level, income level, employment status, and everyday discrimination. RESULTS: Puerto Ricans, Cubans, and other Hispanics had greater odds of lifetime psychotic experiences when compared with Mexicans, though differences diminished when adjusting for covariates. Filipino and other Asians had greater odds of lifetime psychotic experiences when compared with Chinese, though again, differences diminished when adjusting for covariates. Among Black Americans, there were no significant ethnic subgroup differences. CONCLUSION: Ethno-racial differences extend across the psychosis continuum. There are nuanced health profiles across and within ethno-racial categories. Differences may be attributable to differences in experiences living in the US, underscoring the need for community-specific interventions.

Review of Major Social Determinants of Health in Schizophrenia-Spectrum Psychotic Disorders: III. Biology.

BACKGROUND: Social determinants of health (SDoHs) are nonmedical factors that significantly impact health and longevity. We found no published reviews on the biology of SDoHs in schizophrenia-spectrum psychotic disorders (SSPD). STUDY DESIGN: We present an overview of pathophysiological mechanisms and neurobiological processes plausibly involved in the effects of major SDoHs on clinical outcomes in SSPD. STUDY RESULTS: This review of the biology of SDoHs focuses on early-life adversities, poverty, social disconnection, discrimination including racism, migration, disadvantaged neighborhoods, and food insecurity. These factors interact with psychological and biological factors to increase the risk and worsen the course and prognosis of schizophrenia. Published studies on the topic are limited by cross-sectional design, variable clinical and biomarker assessments, heterogeneous methods, and a lack of control for confounding variables. Drawing on preclinical and clinical studies, we propose a biological framework to consider the likely pathogenesis. Putative systemic pathophysiological processes include epigenetics, allostatic load, accelerated aging with inflammation (inflammaging), and the microbiome. These processes affect neural structures, brain function, neurochemistry, and neuroplasticity, impacting the development of psychosis, quality of life, cognitive impairment, physical comorbidities, and premature mortality. Our model provides a framework for research that could lead to developing specific strategies for prevention and treatment of the risk factors and biological processes, thereby improving the quality of life and increasing the longevity of people with SSPD. CONCLUSIONS: Biology of SDoHs in SSPD is an exciting area of research that points to innovative multidisciplinary team science for improving the course and prognosis of these serious psychiatric disorders.