Cited by 72Schizophrenia research and treatmentMental Health Treatment and AccessPsychopathy, Forensic Psychiatry, Sexual Offending

Association of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort

Open access
Guloksuz, Sinan, Pries, Lotta‐Katrin, ten Have, Margreet, de Graaf, Ron, van Dorsselaer, Saskia, Klingenberg, Boris, Bak, Maarten, Lin, Bochao D. +6 more·2020·World Psychiatry

Abstract

The validity and clinical utility of the concept of “clinical high risk” (CHR) for psychosis have so far been investigated only in risk‐enriched samples in clinical settings. In this population‐based prospective study, we aimed – for the first time – to assess the incidence rate of clinical psychosis and es­timate the population attributable fraction (PAF) of that incidence for preceding psychosis risk states and DSM‐IV diagnoses of non‐psychotic mental disorders (mood disorders, anxiety disorders, alcohol use disorders, and drug use disorders). All analyses were adjusted for age, gender and education. The incidence rate of clinical psychosis was 63.0 per 100,000 person‐years. The mutually‐adjusted Cox proportional hazards model indicated that preceding diagnoses of mood disorders (hazard ratio, HR=10.67, 95% CI: 3.12‐36.49), psychosis high‐risk state (HR=7.86, 95% CI: 2.76‐22.42) and drug use disorders (HR=5.33, 95% CI: 1.61‐17.64) were associated with an increased risk for clinical psychosis incidence. Of the clinical psychosis incidence in the population, 85.5% (95% CI: 64.6‐94.1) was attributable to prior psychopathology, with mood disorders (PAF=66.2, 95% CI: 33.4‐82.9), psychosis high‐risk state (PAF=36.9, 95% CI: 11.3‐55.1), and drug use disorders (PAF=18.7, 95% CI: –0.9 to 34.6) as the most important factors. Although the psychosis high‐risk state displayed a high relative risk for clinical psychosis outcome even after adjusting for other psychopathology, the PAF was comparatively low, given the low prevalence of psychosis high‐risk states in the population. These findings provide empirical evidence for the “prevention paradox” of targeted CHR early intervention. A comprehensive prevention strategy with a focus on broader psychopathology may be more effective than the current psychosis‐focused approach for achieving population‐based improvements in prevention of psychotic disorders.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/wps.20755

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Overall, 66% of the incidence of clinical psychosis in the population is accounted for by preceding mood disorders.

    “Overall, 66% of the incidence of clinical psychosis in the population is accounted for by preceding mood disorders 187”
  • A substantial proportion (37%) of the population-level incidence of psychosis is explained by the CHR-P stage, independently from mood disorders.

    “At the same time, a substantial proportion (37%) of the population-level incidence of psychosis is explained by the CHR-P stage, independently from mood disorders 187”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [30]30. de Graaf R, Van Dorsselaer S, Tuithof M et al. Sociodemographic and psy­ chiatric predictors of attrition in the third wave of the Netherlands Men­ tal Health Survey and Incidence Study-2 (NEMESIS-2). Compr Psychiatry 2013; 54:1131-9.

Cited by

Sorted by citations

Authors
Guloksuz, S., Pries, L., ten Have, M., de Graaf, R., van Dorsselaer, S., Klingenberg, B., Bak, M., Lin, B. D., van Eijk, K. R., Delespaul, P., van Amelsvoort, T., Luykx, J. J., Rutten, B. P. F., & van Os, J.
Affiliations
  • Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience Maastricht University Medical Centre Maastricht The Netherlands
  • Maastricht University Medical Centre (NL)
  • Department of Epidemiology Netherlands Institute of Mental Health and Addiction Utrecht The Netherlands
  • University Medical Center Utrecht (NL)
  • Department of Neurology Brain Centre Rudolf Magnus, University Medical Centre Utrecht Utrecht The Netherlands
Venue
World Psychiatry
Publisher
Wiley
Published
2020-05-11
Volume
19
Issue
2
Pages
199-205
ISSN
  • 1723-8617 (ISSN-L)
  • 2051-5545
OpenAlex
W3025319689
Cited by
72
References
56
Citations by year
2026: 4 · 2025: 7 · 2024: 9 · 2023: 10 · 2022: 11 · 2021: 23 · 2020: 8
FWCI
9.49
Type
journal article
Language
en
Open access
Locations
  • World Psychiatry (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, other-oa)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
Keywords
clinical high risk for psychosis, psychosis incidence, non-psychotic mental disorders, mood disorders, drug use disorders, anxiety disorders, alcoholism, population attributable fraction, prevention paradox, early intervention

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review