Evidence map›Paper›PMID 35660217›Full record

SynthesisThe Lancet. Public health2022

The prevalence of comorbid serious mental illnesses and substance use disorders in prison populations: a systematic review and meta-analysis.

Gergő Baranyi, Seena Fazel, Sabine Delhey Langerfeldt, Adrian P Mundt

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Lancet. Public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Primary Psychoses Among Sentenced Prisoners in Finland.Criminal behaviour and mental health : CBMH · 2026
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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gergő BaranyiCentre for Research on Environment, Society and Health, Department of Geography, School of GeoSciences, The University of Edinburgh, Edinburgh, UK.
Seena FazelDepartment of Psychiatry, University of Oxford, Oxford, UK.
Sabine Delhey LangerfeldtFacultad de Medicina, Universidad Diego Portales, Santiago, Chile; Department of Psychiatry and Mental Health, Medical Faculty, Hospital Clínico Universidad de Chile, Santiago, Chile.
Adrian P MundtFacultad de Medicina, Universidad Diego Portales, Santiago, Chile; Departamento de Neurología y Psiquiatría, Clínica Alemana de Santiago, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile. Electronic address: adrian.mundt@mail.udp.cl.

Funding

Wellcome Trust 202836/Z/16/Z
6 · The paper itself

Abstract

backgroundComorbid mental illnesses and substance use disorders are associated with adverse criminal, social, and health outcomes. Yet, their burden is not reliably known among prison populations. We therefore aimed to estimate the prevalence of comorbid serious mental illnesses and substance use disorders (dual disorders) among people in prison worldwide.

methodsIn this systematic review and meta-analysis, we searched 15 electronic databases (ASSIA, CAB Abstracts, Criminal Justice Database, Embase, Global Health, Global Index Medicus, IBSS, MEDLINE, NCJRS, PAIS Index, PsycINFO, Russian Science Citation Index, Scielo, Social Services Abstracts, and Web of Science) and the grey literature (Open Grey and ProQuest Dissertations & Theses Global) for studies reporting the prevalence of serious mental illnesses and substance use disorders in prison populations published between Jan 1, 1980, and Sept 25, 2021, and contacted the authors of relevant studies. Empirical studies among unselected adult prison populations that applied representative sampling strategies and validated diagnostic instruments, and either reported the prevalence of dual disorders or had authors who could provide prevalence data in correspondence, were included. Two reviewers (GB and SDL) independently extracted data from the eligible studies; both current (up to 1 year) and lifetime prevalence were extracted, if available. We sought summary estimates. Our primary outcomes were comorbid non-affective psychosis with substance use disorders and comorbid major depression with substance use disorders. We conducted a random-effects meta-analysis, explored between-sample heterogeneity with meta-regression, and calculated odds ratios (ORs) to assess bidirectional relationships between mental and substance use disorders. Risk of bias was assessed by use of a standard tool. The study protocol was registered with PROSPERO, CRD42020207301.

findingsOf 11 346 records screened, we identified 34 studies reporting the prevalence of dual disorders among individuals in prison and received unpublished prevalence data for 16 studies, totalling 50 eligible studies and 24 915 people. The mean quality score of included studies was 7·8 (SD 1·2). We found that 3·5% (95% CI 2·2-5·0) had current non-affective psychosis with any comorbid substance use disorder, representing 443 (49·2%) of 900 people with non-affective psychosis, and 9·1% (5·6-13·3) had current major depression and comorbid substance use disorders, representing 1105 (51·6%) of 2143 people with major depression. Between-sample heterogeneity was high (I

interpretationAround half of the prison population with non-affective psychosis or major depression have a comorbid substance use disorder. Consideration should be given to screening for dual disorders and implementing integrated and scalable treatments.

fundingEconomic and Social Research Council, Agencia Nacional de Investigación y Desarrollo (Chile), and the Wellcome Trust.

Indexed as

Mental DisordersSubstance-Related DisordersAdultComorbidityHumansPrevalencePrisons

Identifiers

PMID35660217
PMCPMC9178214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.