Evidence map›Paper›PMID 33896210›Full record

ArticleCanadian journal of psychiatry. Revue canadienne de psychiatrie2022

The Incidence of Psychotic Disorders and Area-level Marginalization in Ontario, Canada: A Population-based Retrospective Cohort Study.

Martin Rotenberg, Andrew Tuck, Kelly K Anderson, Kwame McKenzie

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06978803 (HYEEG Discourse in Psychosis), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% of its field
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.

NCT06978803 recruitingnot on this mapstarted 2024, after this paper: background citation

HYEEG Discourse in Psychosis: A Neurobehavioural Study

TypeobservationalSponsorDouglas Mental Health University InstituteRan2024 to 2026Enrolled110ConditionsPsychosis, Schizophrenia Disorders
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. A meta-analysis of the role of neighborhood deprivation in psychotic disorders.Social psychiatry and psychiatric epidemiology · 2025
    Pooled it
  2. Social Fragmentation and Schizophrenia: A Systematic Review.The Journal of clinical psychiatry · 2021
    Pooled it
  3. Article
  4. A collective narrative of care and complex mental illness.Health (London, England : 1997) · 2025
    Article
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  10. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Article
  11. A young adult with first-episode psychosis: when to consider anti-CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Article
  12. Article
  13. Article
  14. Green Space and the Incidence of Schizophrenia in Toronto, Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2022
    Article
  15. Article
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

4 authors at 2 institutions in 1 country.

Martin RotenbergDepartment of Psychiatry, University of Toronto, Ontario, Canada.ORCID 0000-0002-0846-5270
Andrew TuckCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Kelly K AndersonDepartment of Epidemiology and Biostatistics, The University of Western Ontario, London, Ontario, Canada.ORCID 0000-0001-9843-404X
Kwame McKenzieDepartment of Psychiatry, University of Toronto, Ontario, Canada.
Centre for Addiction and Mental Health · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited Canadian evidence on the impact of socio-environmental factors on psychosis risk. We sought to examine the relationship between area-level indicators of marginalization and the incidence of psychotic disorders in Ontario.

methodsWe conducted a retrospective cohort study of all people aged 14 to 40 years living in Ontario in 1999 using health administrative data and identified incident cases of psychotic disorders over a 10-year follow-up period. Age-standardized incidence rates were estimated for census metropolitan areas (CMAs). Poisson regression models adjusting for age and sex were used to calculate incidence rate ratios (IRRs) based on CMA and area-level marginalization indices.

resultsThere is variation in the incidence of psychotic disorders across the CMAs. Our findings suggest a higher rate of psychotic disorders in areas with the highest levels of residential instability (IRR = 1.26, 95% confidence interval [CI], 1.18 to 1.35), material deprivation (IRR = 1.30, 95% CI, 1.16 to 1.45), ethnic concentration (IRR = 1.61, 95% CI, 1.38 to 1.89), and dependency (IRR = 1.35, 95% CI, 1.18 to 1.54) when compared to areas with the lowest levels of marginalization. Marginalization attenuates the risk in some CMAs.

conclusionsThere is geographic variation in the incidence of psychotic disorders across the province of Ontario. Areas with greater levels of marginalization have a higher incidence of psychotic disorders, and marginalization attenuates the differences in risk across geographic location. With further study, replication, and the use of the most up-to-date data, a case may be made to consider social policy interventions as preventative measures and to direct services to areas with the highest risk. Future research should examine how marginalization may interact with other social factors including ethnicity and immigration.

Indexed as

Psychotic DisordersCohort StudiesHumansIncidenceOntarioRetrospective Studiesepidemiologygeographyincidencemarginalizationpsychosisschizophreniasocial determinantssocio-environmental

Identifiers

PMID33896210
PMCPMC8935600
OpenAlexW3158457535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.