Evidence map›Paper›PMID 36398917›Full record

ArticleSchizophrenia bulletin2023

Ethnoracial Variation in Risk for Psychotic Experiences.

Jordan DeVylder, Deidre Anglin, Michelle R Munson, Atsushi Nishida, Hans Oh, Jonathan Marsh, Zui Narita, Natalie Bareis, Lisa Fedina

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
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  12. Urbanicity and psychotic disorders: Facts and hypotheses.Dialogues in clinical neuroscience · 2023
    Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jordan DeVylderGraduate School of Social Service, Fordham University, New York, USA.ORCID 0000-0001-5873-4582
Deidre AnglinDepartment of Psychology, The City College of New York, New York, USA.
Michelle R MunsonSilver School of Social Work, New York University, New York, USA.
Atsushi NishidaResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Hans OhSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, USA.
Jonathan MarshGraduate School of Social Service, Fordham University, New York, USA.ORCID 0000-0001-6666-2283
Zui NaritaDepartment of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Natalie BareisDepartment of Psychiatry, Columbia University and the New York State Psychiatric Institute, New York, NY, USA.ORCID 0000-0002-9067-2075
Lisa FedinaUniversity of Michigan School of Social Work, Ann Arbor, MI, USA.

Funding

Machine Learning for Precision Treatments in SchizophreniaK23MH129628 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BAREIS, NATALIE · 2022 to 2025
$782k
NIMH NIH HHS K23 MH129628NIMH NIH HHS L30 MH131131
6 · The paper itself

Abstract

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

designData 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

resultsBlack 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.

conclusionsPreviously 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.

Indexed as

Psychotic DisordersSchizophreniaEthnicityHallucinationsHumansRisk FactorsUnited StatesYoung Adultdiscriminationethnicitypsychosisraceschizophreniaviolence

Identifiers

PMID36398917
PMCPMC10016402

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.