Understanding Associations Between Race/Ethnicity, Experiences of Discrimination, and Psychotic-like Experiences in Middle Childhood

Editorial: Understanding Adolescent Mental Health Disparities Through the Lens of Environmental Stress Exposure

Increasing evidence suggests that, as in other medical fields, there are pronounced pediatric mental health disparities with greater burden among marginalized racial and ethnic youth. The reasons for these disparities are not fully understood. One way to explain pediatric mental health disparities is through the lens of environmental stress as a driver of mental health burden, given that marginalized populations are exposed to more structural and individual stress. Although traditionally stress has been linked to specific psychiatric disorders that fall under the umbrella of "stress-related disorders" such as acute/post-traumatic stress disorder or adjustment disorder, broader conceptual frameworks include depression (including suicidality) and anxiety as stress related. More recently, there has been growing recognition of the contribution of early life stressful exposures (ie, childhood adversity) to psychosis spectrum disorders. As such, recognition of the role of stress exposure in psychotic presentations and the fact that exposure to adverse social determinants of health and stressful environments is more common among youth of color can serve as a potential mechanism to explain pediatric disparities in psychosis risk.

Exploring the associations between the presence, characteristics, and biopsychosocial covariates of pain and lifetime depression in adolescents: A cross-sectional ABCD study analysis

INTRODUCTION

Depression and pain co-occur, even during adolescence. However, there is limited knowledge on the association between pain and lifetime depression, and which biopsychosocial measures are associated with this co-occurrence.

METHODS

Cross-sectional analysis of the Adolescent Brain and Cognitive Development (ABCD) two-year follow-up. We explored associations between the presence and characteristics of past month pain (intensity, duration, activity limitations, and number of pain sites) and lifetime depression using logistic regression. We explored associations of brain structure, physical, behavioural, emotional, social, and cognitive measures with lifetime depression and past month pain compared to having had one or neither condition using multinomial logistic regression.

RESULTS

A total of 5211 adolescents (mean age = 12.0 years) who had: (1) no lifetime mental ill-health and no pain (n = 3327); (2) pain only (n = 1407); (3) lifetime depressive disorder but no pain (n = 272); and (4) lifetime depressive disorder and pain (n = 205) were included. Pain presence was associated with lifetime depression (OR[95%CI]: 1.76 [1.45, 2.13], p < 0.001). Pain-related activity limitations (1.13 [1.06, 1.21], p < 0.001) and the number of pain sites (1.06 [1.02, 1.09], p < 0.001) were associated with lifetime depression. Various behavioural, emotional, social, and cognitive, but not brain structure or physical measures, were associated with lifetime depression and past month pain.

LIMITATIONS

Longitudinal analyses should validate prognostic markers for predicting co-occurring depression and pain.

CONCLUSIONS

Results support an association between the presence and characteristics of pain and lifetime depression during adolescence and could indicate the need for more integrated recognition and clinical care of youth experiencing both depression and pain.

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 socioenvironmental 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 socioenvironmental 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.

PLAIN LANGUAGE SUMMARY

Using longitudinal data from 11,876 young adolescents aged 9 to 10 from the Adolescent Brain Cognitive Development (ABCD) study, this study examined environmental (eg, poverty, exposure to crime) and stress-related factors (eg, experiences of discrimination, childhood adversity) that were associated with psychotic-like experiences, and whether these factors explained racial/ethnic differences in psychotic-like experiences (PLE). Principle component and mediation analysis found an association between environmental risk and PLEs was partially explained by cumulative stress. Differences in PLEs across racial/ethnic groups were accounted for by both environmental risk and stress. Results highlight that systemic factors may explain higher levels of PLEs among historically marginalized racial/ethnic groups. Findings suggest the potential for intervening upon modifiable risk factors to buffer against stress and reduce the risk of developing 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.

Predicting adolescent psychopathology from early life factors: A machine learning tutorial

Objective

The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. We provide a didactic example of machine learning for risk prediction in this study by determining whether early life factors could be useful for predicting adolescent psychopathology.

Methods

In total, 9643 adolescents ages 9-10 from the Adolescent Brain and Cognitive Development (ABCD) Study were included in ML analysis to predict high Child Behavior Checklist (CBCL) scores (i.e., t-scores ≥ 60). ML models were constructed using a series of predictor combinations (prenatal, family history, sociodemographic) across 5 different algorithms. We assessed ML performance through sensitivity, specificity, F1-score, and area under the curve (AUC) metrics.

Results

A total of 1267 adolescents (13.1 %) were found to have high CBCL scores. The best performing algorithms were elastic net and gradient boosted trees. The best performing elastic net models included prenatal and family history factors (Sensitivity 0.654, Specificity 0.713; AUC 0.742, F1-score 0.401) and prenatal, family, history, and sociodemographic factors (Sensitivity 0.668, Specificity 0.704; AUC 0.745, F1-score 0.402). Across all 5 ML algorithms, family history factors (e.g., either parent had nervous breakdowns, trouble holding jobs/fights/police encounters, and counseling for mental issues) and sociodemographic covariates (e.g., maternal age, child's sex, caregiver income and caregiver education) tended to be better predictors of adolescent psychopathology. The most important prenatal predictors were unplanned pregnancy, birth complications, and pregnancy complications.

Conclusion

Our results suggest that inclusion of prenatal, family history, and sociodemographic factors in ML models can generate moderately accurate predictions of adolescent psychopathology. Issues associated with model overfitting, hyperparameter tuning, and system seed setting should be considered throughout model training, testing, and validation. Future early risk predictions models may improve with the inclusion of additional relevant covariates.

Patterns of Self-Reported Mental Health Symptoms and Treatment among People Booked into a Large Metropolitan County Jail

The Brief Jail Mental Health Screen (BJMHS) is one of the most well-known and frequently used tools to conduct routine mental health screening at jail intake. In prior research, the BJMHS results typically have been evaluated overall (i.e., yes/no positive screen). However, there is heterogeneity in symptom presentation and treatment histories among people with serious mental illness, and there are potential consequences of this heterogeneity for mental health administration and policy in jails. We conducted a latent class analysis of BJMHS item-level results using administrative data for 37,998 people booked into a southeastern, metropolitan, U.S. county jail over a 3.5-year period. A 4-class solution provided the best fitting and most interpretable model. The largest class (89.5%) comprised people unlikely to report symptoms or treatment histories (limited symptoms). The next class comprised people who were unlikely to report ongoing symptoms but reported medication and hospitalization (managed symptoms). The third class (2.5%) included people likely to report feeling useless/sinful, prior hospitalization, and current psychiatric medication (depressive symptoms). The fourth class (1.0%) comprised people likely to report thought control, paranoia, feeling useless/sinful, medication, and hospitalization (psychotic symptoms). Controlling for sociodemographic and booking characteristics, people in the managed, depressive, and psychotic symptoms classes had significantly longer jail stays compared to those in the limited symptoms class. People in the managed and depressive symptoms classes were at heightened risk of re-arrest compared to the limited symptoms class. Findings can inform case prioritization and the allocation of resources to support efficient and effective jail-based mental health services.

Interpreting Health Differences between Self-reported Black and White Children in U.S.: Insights from a Methodological Perspective

Understanding health differences among racial groups in child development is crucial for addressing inequalities that may affect various aspects of a child's life. However, factors such as household and neighborhood socioeconomic status (SES) often covary with health differences between races, making it challenging to accurately reveal these differences using conventional covariate-control methods such as multiple regression. Alternative methods, such as Propensity Score Matching (PSM), may provide better covariate control. Supporting this notion, we found that PSM is more sensitive than regression-based methods in detecting health differences between self-reported Black and White children across a wide range of behavioral and neural measurements in the ABCD (5636 White, 1350 Black). Puberty status, an index of physical maturation, emerged as the largest difference between races and mediated the health differences between races on the majority of behavioral and neural variables. These findings highlight the importance of controlling for pubertal status and using more effective covariate-control methods to accurately represent health differences between Black and White children.

The daily association between positive affect and psychotic experiences in individuals along the early stages of the psychosis continuum

Introduction

Psychosis often develops gradually along a continuum of severity. Little is known about the role of protective factors such as positive affect (PA) in the development of psychotic experiences (PEs). This study investigated i) the temporal (between-day) and contemporaneous (within-day) daily associations between PA and PEs in individuals at different early clinical stages for psychosis and ii) whether these associations differed per clinical stage.

Methods

Daily diary data for 90 days came from 96 individuals at risk for psychosis, distributed over four subgroups defined according to the clinical staging model (stages 0-1b). We constructed multilevel models with PA as a predictor of PEs and vice versa. We investigated within- and between-person temporal and contemporaneous associations and tested whether these associations differed among early stages with multilevel moderation analyses.

Results

We found no within-person temporal effects between PA and PEs in either direction. Contemporaneously, current-day PA predicted current-day PEs (B = -0.14, p < 0.001) and vice versa (B = -0.61, p < 0.001). Between persons, more 90-day PA predicted fewer PEs in the temporal model (B = -0.14, p = 0.03). In addition, more 90-day PEs predicted PA in the temporal (B = -0.26, p < 0.001) and contemporaneous (B = -0.36, p < 0.001) models. The contemporaneous association between PA and PEs was stronger in individuals at ultra-high risk (UHR) for psychosis than in earlier stages.

Discussion

Our study supported a significant within-day, bidirectional relationship between PA and PEs. This suggests that a focus on PA and methods to improve PA may be an important addition to early intervention practices, particularly in those at UHR for psychosis.

Do Ethnic Identity, Familial, and Community Contexts Impact the Association Between Adverse Childhood Experiences and Psychopathology Among Latinx Adolescents?

OBJECTIVE

Few studies have explored the interplay of how individual identity, parental, familial, and contextual factors impact associations between Latinx adolescent adversities and psychopathology. This study aimed to examine whether these factors mediate the relationship between adversities and psychopathology in Latinx youth.

METHOD

Latinx youth (n = 2,411) data from the Adolescent Brain Cognitive Development (ABCD) Study were used to examine path models with adverse childhood experiences (ACEs) as the predictor and either youth- or caregiver-rated internalizing/externalizing scores over 4 timepoints as the outcome (ages 9-13 years). Models examined 3 potential mediators: (1) ethnic identity, (2) familial context (comprising parental monitoring, family conflict, and caregiver acceptance), and (3) community cohesion. Models were conducted separately for internalizing and externalizing symptoms.

RESULTS

Greater adversity was associated with greater youth- and caregiver-rated internalizing/externalizing psychopathology over time. Greater adversity was associated with lower family functioning and lower ethnic identity, and greater family functioning was associated with lower psychopathology. Family functioning mediated associations between adversity and psychopathology over time (youth-reported internalizing: 95% CI = 0.012-0.019; youth-reported externalizing: 95% CI = 0.020-0.028). In contrast, there was not strong evidence for ethnic identity and community cohesion mediating associations between adversities and psychopathology over time.

CONCLUSION

Unlike previous studies, ethnic identity did not influence the relationship between ACEs and psychopathology over time. Additional research is needed to identify whether possible tensions rise as Latinx youth acculturate into US culture and achieve optimal levels of ethnic identity formation. Providers need to assess specific Latinx parental and familial contexts that may interfere with youth identity formation.

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.

The association between neighborhood-level social fragmentation and distressing psychotic-like experiences in early adolescence: the moderating role of close friends

BACKGROUND

Early exposure to neighborhood social fragmentation has been shown to be associated with schizophrenia. The impact of social fragmentation and friendships on distressing psychotic-like experiences (PLE) remains unknown. We investigate the relationships between neighborhood social fragmentation, number of friends, and distressing PLE among early adolescents.

METHODS

Data were collected from the Adolescent Brain Cognitive Development Study. Generalized linear mixed models tested associations between social fragmentation and distressing PLE, as well as the moderating role of the number of total and close friends.

RESULTS

Participants included 11 133 adolescents aged 9 to 10, with 52.3% being males. Greater neighborhood social fragmentation was associated with higher levels of distressing PLE (adjusted β = 0.05; 95% CI: 0.01-0.09). The number of close but not total friends significantly interacted with social fragmentation to predict distressing PLE (adjusted β = -0.02; 95% CI: -0.04 to <-0.01). Among those with fewer close friends, the association between neighborhood social fragmentation and distressing PLE was significant (adjusted β = 0.07; 95% CI: 0.03-0.11). However, among those with more close friends, the association was non-significant (adjusted β = 0.03; 95% CI: -0.01 to 0.07).

CONCLUSIONS

Greater neighborhood social fragmentation is associated with higher levels of distressing PLE, particularly among those with fewer close friends. Further research is needed to disentangle aspects of the interaction between neighborhood characteristics and the quality of social interactions that may contribute to psychosis, which would have implications for developing effective interventions at the individual and community levels.

Association between discrimination and subsequent psychotic experiences in patients with COVID-19: A cohort study

Although cross-sectional studies have suggested that discrimination has a negative impact on the mental health of patients with COVID-19, no cohort studies with longitudinal data have established a causal relationship. Therefore, this study aimed to investigate the association between COVID-19-related discrimination and subsequent psychotic experiences in individuals who had contracted the disease. Secondary outcomes were PTSD symptoms, psychological distress, and suicidal ideation. We utilized inverse probability weighting and marginal structural models with robust standard errors to analyze the association, accounting for confounders and loss to follow-up. In a sensitivity analysis, we evaluated the robustness of the estimates to potential unmeasured confounding by analyzing E-values. Of 7760 participants who had contracted COVID-19, 5971 were included after excluding those with missing sociodemographic data. Of these, 1736 (29.1 %) reported experiencing COVID-19-related discrimination. Of the 2559 participants who completed the study, 253 (9.9 %) reported having at least one psychotic experience. Participants who reported experiencing any COVID-19-related discrimination showed a higher risk of subsequent psychotic experiences compared with participants without such discrimination (risk difference 6.6 %, 95 % CI 4.0 %-9.9 %; risk ratio 1.82, 95 % CI 1.42-2.47). A negative impact was also found in suicidal ideation, PTSD symptoms, and psychological distress. E-values demonstrated the robustness of some of the observed associations to unmeasured confounding. The study found that COVID-19-related discrimination was associated with subsequent psychotic experiences and other mental health outcomes in individuals who had contracted the disease. A study focusing on prevention strategies, such as an anti-discrimination campaign, is warranted.

Measurement invariance of the Revised-Green Paranoid Thought Scale across Black and White Americans

Given the culturally diverse landscape of mental healthcare and research, ensuring that our psychological constructs are measured equivalently across diverse populations is critical. One construct for which there is significant potential for inequitable assessment is paranoia, a prominent feature in psychotic disorders that can also be driven by culture and racial marginalization. This study examined measurement invariance-an analytic technique to rigorously investigate whether a given construct is being measured similarly across groups-of the Revised-Green Paranoid Thought Scale (R-GPTS; Freeman et al., 2021) across Black and White Americans in the general population. Racial group differences in self-reported paranoia were also examined. The analytic sample consisted of 480 non-Hispanic White and 459 non-Hispanic Black Americans. Analyses demonstrated full invariance (i.e., configural, metric, and scalar invariance) of the R-GPTS across groups, indicating that the R-GPTS appropriately captures self-reported paranoia between Black and White Americans. Accordingly, it is reasonable to compare group endorsement: Black participants endorsed significantly higher scores on both the ideas of reference and ideas of persecution subscales of the R-GPTS (Mean ± SD = 10.91 ± 7.12 versus 8.21 ± 7.17 and Mean ± SD = 10.18 ± 10.03 versus 6.35 ± 8.35, for these subscales respectively). Generalized linear modeling revealed that race remained a large and statistically significant predictor of R-GPTS total score (β = -0.38756, p < 0.001) after controlling for relevant demographic factors (e.g., sex, age). This study addresses a critical gap within the existing literature as it establishes that elevations in paranoia exhibited by Black Americans in the R-GPTS reflect actual differences between groups rather than measurement artifacts.

The social determinants of mental health and disorder: evidence, prevention and recommendations

People exposed to more unfavourable social circumstances are more vulnerable to poor mental health over their life course, in ways that are often determined by structural factors which generate and perpetuate intergenerational cycles of disadvantage and poor health. Addressing these challenges is an imperative matter of social justice. In this paper we provide a roadmap to address the social determinants that cause mental ill health. Relying as far as possible on high-quality evidence, we first map out the literature that supports a causal link between social determinants and later mental health outcomes. Given the breadth of this topic, we focus on the most pervasive social determinants across the life course, and those that are common across major mental disorders. We draw primarily on the available evidence from the Global North, acknowledging that other global contexts will face both similar and unique sets of social determinants that will require equitable attention. Much of our evidence focuses on mental health in groups who are marginalized, and thus often exposed to a multitude of intersecting social risk factors. These groups include refugees, asylum seekers and displaced persons, as well as ethnoracial minoritized groups; lesbian, gay, bisexual, transgender and queer (LGBTQ+) groups; and those living in poverty. We then introduce a preventive framework for conceptualizing the link between social determinants and mental health and disorder, which can guide much needed primary prevention strategies capable of reducing inequalities and improving population mental health. Following this, we provide a review of the evidence concerning candidate preventive strategies to intervene on social determinants of mental health. These interventions fall broadly within the scope of universal, selected and indicated primary prevention strategies, but we also briefly review important secondary and tertiary strategies to promote recovery in those with existing mental disorders. Finally, we provide seven key recommendations, framed around social justice, which constitute a roadmap for action in research, policy and public health. Adoption of these recommendations would provide an opportunity to advance efforts to intervene on modifiable social determinants that affect population mental health.

Disparities in Psychosis Risk Symptoms for New Zealand Māori May Be Explained by Systemic Stressors and Inappropriate Conceptualization of Culturally Normative Experiences

BACKGROUND AND HYPOTHESIS

Māori, the indigenous peoples of New Zealand, experience increased rates of psychotic disorders and first-episode psychosis. However, it is unclear whether they also present with increased psychosis risk symptoms, such as subclinical psychotic-like experiences (PLEs). Measurement of risk symptoms is key for early intervention. Further, it is unclear if systemic factors such as the increased rates of social adversity and discrimination or cultural biases contribute to this disparity in psychosis rates.

STUDY DESIGN

This study surveyed 466 18- to 30-year olds in New Zealand, and compared Māori to non-Māori participant responses on the Prodromal Questionnaire Brief, alongside the history of childhood trauma, discrimination, and financial adversity.

STUDY RESULTS

Māori reported a higher number of PLEs compared to non-Māori-however, this was not associated with increased distress related to these experiences. The increased number of psychosis-like experiences reported by Māori was likely explained by systemic factors such as childhood trauma, discrimination, and financial stress. Māori were more likely to report that the PLEs were positive.

CONCLUSIONS

Measurement of psychosis risk for Māori is nuanced, and increased scores on these tools may reflect pathologizing potentially normative experiences for Māori, such as spiritual encounters or discrimination, alongside the impact of increased rates of systemic discrimination, trauma, and financial stress.

Examining delusional ideation: Relationships with race and socioeconomic status

Race and socioeconomic status (SES) are commonly cited as risk factors for psychosis and psychotic-like experiences (PLEs). However, few studies have investigated the relationships between race and SES with specific domains of PLEs. Specifically, little work has examined the relationships between race and SES with delusional ideation, severity (preoccupation, conviction, distress), and delusional themes. Using cross-sectional, general population data (N = 727) from the Nathan Kline Institute-Rockland (NKI-Rockland) database, we investigated racial differences in delusional ideation and severity between Black and White participants, including differences in delusional themes. Then, we investigated SES's relationship with delusional thinking and the interaction between race and SES on delusional thinking. Black American participants endorsed higher delusional ideation with stronger severity than White Americans. A significant interaction between race and delusional theme revealed that Black Americans endorse significantly more delusional ideation in themes of grandiosity, religiosity, and referential-guilt. Black Americans endorse greater delusional severity in grandiose and religious ideations. Black Americans endorse stronger preoccupation and conviction - but not distress-in their referential-guilt ideation. SES was not significantly associated with delusional thinking, nor did SES moderate the significant relationships between race and delusional ideation. These results illuminate the clear racial disparity that exist in delusional ideation within a general population, which did not extend to SES in this dataset. Future work should investigate deeper into the contributory factors to these racial disparities, particularly whether they are based in psychological and/or cultural differences or are the result of assessment/measurement bias.

Ethnoracial Variation in Risk for Psychotic Experiences

BACKGROUND & HYPOTHESIS

Psychotic disorders are inequitably distributed by race in the United States, although it is not known whether this is due to assessment biases or inequitable distributions of risk factors. Psychotic experiences are subclinical hallucinations and delusions used to study the etiology of psychosis, which are based on self-report and therefore not subject to potential clinician biases. In this study, we test whether the prevalence of psychotic experiences (PE) varies by race and if this variance is explained by socioenvironmental risk factors.

STUDY DESIGN

Data on demographics, PE, and socioenvironmental risk factors were collected through the National Survey of Poly-victimization and Mental Health, a national probability sample of US young adults. Logistic regression analyses were used to determine whether PE prevalence varied by race/ethnicity and, if so, whether this was attenuated with inclusion of indicators of income, education, urban/rural living, discrimination, and trauma exposure.

STUDY RESULTS

Black and Hispanic respondents reported PE at significantly greater rates than White or "other" ethnoracial groups, with hallucinations more commonly reported by Hispanic respondents. PE were significantly associated with police violence exposure, discrimination, adverse childhood experiences, and educational attainment. These factors statistically explained ethnoracial differences in the likelihood of overall PE occurrence and of nearly all PE subtypes.

CONCLUSIONS

Previously observed racial differences in psychosis extend beyond clinical schizophrenia, and therefore, are unlikely to be explained entirely by clinician biases. Instead, racial disparities in PE appear to be driven by features of structural racism, trauma, and discrimination.

Review of factors resulting in systemic biases in the screening, assessment, and treatment of individuals at clinical high-risk for psychosis in the United States

Background

Since its inception, research in the clinical high-risk (CHR) phase of psychosis has included identifying and exploring the impact of relevant socio-demographic factors. Employing a narrative review approach and highlighting work from the United States, sociocultural and contextual factors potentially affecting the screening, assessment, and service utilization of youth at CHR were reviewed from the current literature.

Results

Existing literature suggests that contextual factors impact the predictive performance of widely used psychosis-risk screening tools and may introduce systemic bias and challenges to differential diagnosis in clinical assessment. Factors reviewed include racialized identity, discrimination, neighborhood context, trauma, immigration status, gender identity, sexual orientation, and age. Furthermore, racialized identity and traumatic experiences appear related to symptom severity and service utilization among this population.

Conclusions

Collectively, a growing body of research from the United States and beyond suggests that considering context in psychosis-risk assessment can provide a more accurate appraisal of the nature of risk for psychosis, render more accurate results improving the field's prediction of conversion to psychosis, and enhance our understanding of psychosis-risk trajectories. More work is needed in the U.S. and across the globe to uncover how structural racism and systemic biases impact screening, assessment, treatment, and clinical and functional outcomes for those at CHR.

Editorial: Psychotic-like Experiences: Bolstering Protective Factors in Marginalized Youth

Racial disparities in the prevalence and clinical characteristics of psychotic disorders are well documented. Psychotic-like experiences (PLEs) are subthreshold psychotic symptoms in the absence of overt psychotic illness that are nevertheless distressing and associated with negative outcomes. In the general population, racially and ethnically minoritized individuals are more likely to report PLEs compared to White individuals, consistent with the disparities in psychosis diagnosis.¹ However, our understanding of the factors driving observed differences in PLEs is limited. Most of the published research on PLEs has been in adolescents and adults, whereas less is known about racial/ethnic differences in PLEs in children. A better understanding of the factors that drive the racial/ethnic differences in these experiences could inform development of culturally responsive, preventative interventions to mitigate disparities.