Evidence map›Paper›PMID 26370212›Full record

ArticleSocial psychiatry and psychiatric epidemiology2015

Economic inequality is related to cross-national prevalence of psychotic symptoms.

Sheri L Johnson, Erik Wibbels, Richard Wilkinson

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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Obstetrical and Neonatal Outcomes in Pregnant Individuals With Anxiety Disorders.The journal of obstetrics and gynaecology research · 2026
    Article
  4. Health from a health promotion perspective: a concept analysis.Journal of health, population, and nutrition · 2025
    Review
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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

3 authors.

Sheri L JohnsonDepartment of Psychology, University of California, 3210 Tolman Hall, Berkeley, CA, USA. sljohnson@berkeley.edu.ORCID http://orcid.org/0000-0002-9945-4816
Erik WibbelsDepartment of Political Science, Duke University, Durham, NC, USA.
Richard WilkinsonProfessor Emeritus, University of Nottingham Medical School, Nottingham, UK.

Funding

Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

purposeA burgeoning literature documents robust links of income inequality with the prevalence of psychological disorders. The aim of this paper is to extend this literature by examining the effects of cross-national income inequality on prevalence of psychotic symptoms.

methodAnalyses used archival data of representative samples from 50 countries (N = 249,217). Four types of psychotic symptoms were assessed using the well-validated CIDI interview. We examined the effects of Standardized World Income Inequality Database (SWIID) measures of the concentration of income in the top percentile of people and the Gini coefficient of income inequality.

resultsIncome inequality was significantly correlated with the national prevalence of hallucinations, delusions of thought control, and delusional mood, and effects withstood control over national indices of per capita income and regime type. Findings were also robust to nonparametric bootstrapping.

conclusionsAlthough the cross-sectional design limits ability to claim causality, income inequality appears important for understanding psychotic symptoms.

Indexed as

Health Status DisparitiesCross-Sectional StudiesGlobal HealthHumansIncomePrevalencePsychotic DisordersCross-national prevalenceDelusionsHallucinationsIncome inequalityMental healthPsychotic symptoms

Identifiers

What OpenQuestion holds

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Registered trials

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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.