Evidence map›Paper›PMID 31097399›Full record

ArticleThe lancet. Psychiatry2019

Ethnic density and other neighbourhood associations for mortality in severe mental illness: a retrospective cohort study with multi-level analysis from an urbanised and ethnically diverse location in the UK.

Jayati Das-Munshi, Peter Schofield, Vishal Bhavsar, Chin-Kuo Chang, Michael E Dewey, Craig Morgan, Robert Stewart, Graham Thornicroft, Martin J Prince

Open access · hybridAbstract read
In one paragraph

Article in The lancet. Psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 9% 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.

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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. The ethnic density effect in psychosis: a systematic review and multilevel meta-analysis.The British journal of psychiatry : the journal of mental science · 2021
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jayati Das-MunshiDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK; South London and Maudsley National Health Service Foundation Trust, London, UK. Electronic address: jayati.das-munshi@kcl.ac.uk.
Peter SchofieldDepartment of Population Health Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Vishal BhavsarDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.
Chin-Kuo ChangDepartment of Health and Welfare, University of Taipei, Taipei City, Taiwan.
Michael E DeweyDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.
Craig MorganDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.
Robert StewartDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK; South London and Maudsley National Health Service Foundation Trust, London, UK.
Graham ThornicroftDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.
Martin J PrinceDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.
King's College London · GBSouth London and Maudsley NHS Foundation Trust · GBUniversity of Taipei · TW

Funding

COBALT: Comorbid Affective Disorders, AIDS/HIV, and Long Term HealthR01MH100470 · NIMH · KING'S COLLEGE LONDON · PI FAIRALL, LARA ROSEMARY, PETERSEN, INGE · 2013 to 2018
$2.0M
Medical Research Council MC_PC_17214Medical Research Council MR/K021494/1Medical Research Council MR/S001255/1NIMH NIH HHS R01 MH100470
6 · The paper itself

Abstract

backgroundNeighbourhood social context might play a role in modifying mortality outcomes in severe mental illness, but has received little attention to date. Therefore, we aimed to assess in an ethnically diverse and urban location the association of neighbourhood-level characteristics and individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness.

methodsWe did a retrospective cohort study using a case-registry from a large secondary mental health-care Trust in an ethnically diverse and urban location in south London, UK. Linked data for deaths and areas of residence were identified from the case-registry. We included all individuals aged 15 years or more at the time of diagnosis for a severe mental illness from Jan 1, 2007, to Dec 31, 2014. We used individual-level information in our analyses, such as gender, marital status, and the presence of current or previous substance use disorders. We assessed neighbourhood or area-level indicators at the Lower Super Output Area level. Association of neighbourhood-level characteristics, which included the interaction between ethnicity and own ethnic density, deprivation, urbanicity, and social fragmentation, alongside individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness was assessed.

findingsA total of 18 201 individuals were included in this cohort for analyses, with a median follow-up of 6·36 years. There were 1767 (9·7%) deaths from all causes, 1417 (7·8%) from natural causes, and 192 (1·1%) from unnatural causes. In the least ethnically dense areas, the adjusted rate ratio (aRR) for all-cause mortality in ethnic minority groups with severe mental illness compared with white British people with severe mental illness were similar (aRR 0·96, 95% CI 0·71-1·29); however in the highest ethnic density areas, ethnic minority groups with severe mental illness had a lower risk of death (aRR 0·52, 95% CI 0·38-0·71; p<0·0001), with similar trends for natural-cause mortality (p=0·071 for statistical interaction). In the cohort with severe mental illness, residency in deprived, urban, and socially fragmented neighbourhoods was not associated with higher mortality rates. Compared with the general population, age-standardised and gender-standardised mortality ratios were elevated in the cohort with severe mental illness across all neighbourhood-level characteristics assessed.

interpretationFor ethnic minority groups with severe mental illness, residency in areas of higher own-group ethnic density is associated with lower mortality compared to white British groups with severe mental illness.

fundingHealth Foundation, National Institute for Health Research, EU Seventh Framework, and National Institute of Mental Health.

Indexed as

AdolescentAdultFemaleHumansMaleMental DisordersMultilevel AnalysisRegistriesRetrospective StudiesSocioeconomic FactorsUnited KingdomUrban HealthUrban RenewalYoung Adult

Identifiers

PMID31097399
PMCPMC6551347
OpenAlexW2945920225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.