Evidence map›Paper›PMID 34842128›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2021

Investigating the association between physical health comorbidities and disability in individuals with severe mental illness.

Luwaiza Mirza, Jayati Das-Munshi, Jaya Chaturvedi, Honghan Wu, Zeljko Kraljevic, Thomas Searle, Shaweena Shaari, Aurelie Mascio, Naoko Skiada, Angus Roberts and 4 more

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Making meaning of multimorbidity and severe mental illness: A viewpoint.The Australian and New Zealand journal of psychiatry · 2024
    Article
  10. Article
  11. 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

14 authors.

Luwaiza MirzaNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0002-0865-8347
Jayati Das-MunshiNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0002-3913-6859
Jaya ChaturvediDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-6359-9853
Honghan WuHealth Data Research UK London, University College London, London, United Kingdom.ORCID 0000-0002-0213-5668
Zeljko KraljevicDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Thomas SearleDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0001-8424-3218
Shaweena ShaariNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0002-4893-1352
Aurelie MascioDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Naoko SkiadaDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-8575-9846
Angus RobertsNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0002-4570-9801
Daniel BeanDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-8594-7804
Robert StewartNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0002-4435-6397
Richard DobsonNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0003-4224-9245
Rebecca BendayanNIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.ORCID 0000-0003-1461-556X

Funding

British Heart FoundationChief Scientist OfficeDepartment of Health IS-BRC-1215-20018Medical Research Council MC_PC_17214Medical Research Council MC_PC_18029Medical Research Council MR/R016372/1Medical Research Council MR/S00310X/1Medical Research Council MR/S004149/1Medical Research Council MR/S004149/2Medical Research Council MR/V049879/1Wellcome TrustWellcome Trust PIII054
6 · The paper itself

Abstract

backgroundResearch suggests that an increased risk of physical comorbidities might have a key role in the association between severe mental illness (SMI) and disability. We examined the association between physical multimorbidity and disability in individuals with SMI.

methodsData were extracted from the clinical record interactive search system at South London and Maudsley Biomedical Research Centre. Our sample (n = 13,933) consisted of individuals who had received a primary or secondary SMI diagnosis between 2007 and 2018 and had available data for Health of Nations Outcome Scale (HoNOS) as disability measure. Physical comorbidities were defined using Chapters II-XIV of the International Classification of Diagnoses (ICD-10).

resultsMore than 60 % of the sample had complex multimorbidity. The most common organ system affected were neurological (34.7%), dermatological (15.4%), and circulatory (14.8%). All specific comorbidities (ICD-10 Chapters) were associated with higher levels of disability, HoNOS total scores. Individuals with musculoskeletal, skin/dermatological, respiratory, endocrine, neurological, hematological, or circulatory disorders were found to be associated with significant difficulties associated with more than five HoNOS domains while others had a lower number of domains affected.

conclusionsIndividuals with SMI and musculoskeletal, skin/dermatological, respiratory, endocrine, neurological, hematological, or circulatory disorders are at higher risk of disability compared to those who do not have those comorbidities. Individuals with SMI and physical comorbidities are at greater risk of reporting difficulties associated with activities of daily living, hallucinations, and cognitive functioning. Therefore, these should be targeted for prevention and intervention programs.

Indexed as

Activities of Daily LivingMental DisordersComorbidityHallucinationsHumansMultimorbidityBipolar DisorderElectronic Health RecordsHealth of Nations Outcome ScaleMultimorbiditySchizophrenia

Identifiers

PMID34842128
PMCPMC8727716

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.