Evidence map›Paper›PMID 34557851›Full record

ArticleThe Lancet regional health. Europe2021

Associations between physical multimorbidity patterns and common mental health disorders in middle-aged adults: A prospective analysis using data from the UK Biobank.

Amy Ronaldson, Jorge Arias de la Torre, Matthew Prina, David Armstrong, Jayati Das-Munshi, Stephani Hatch, Rob Stewart, Matthew Hotopf, Alexandru Dregan

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 pooled it
9.6field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 5 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Amy RonaldsonInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Jorge Arias de la TorreInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Matthew PrinaHealth Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
David ArmstrongDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
Jayati Das-MunshiInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Stephani HatchInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Rob StewartInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Matthew HotopfInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Alexandru DreganInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
King's College London · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/S028188/1Medical Research Council MR/T045302/1
6 · The paper itself

Abstract

backgroundWe aimed to identify specific patterns of physical multimorbidity, defined as the presence of two or more physical long-term conditions, and to examine the extent to which these specific patterns could predict future incident and persistent common mental health disorders (CMDs) in middle-aged adults enrolled in the UK Biobank.

methodsWe assessed prospective associations between physical multimorbidity status at the baseline assessment (2006-2010) and depression and anxiety 'caseness' according to the Patient Health Questionnaire (PHQ)-9 and the Generalised Anxiety Disorder Assessment (GAD)-7 at the follow-up assessment (2016) in 154,367 middle-aged adults enrolled in the UK Biobank (median age: 57 years, interquartile range

findingsCompared to those with no physical multimorbidity, having two (adjusted odds ratio (aOR) =1.41, 95%CI 1.32 to 1.53), three (aOR = 1.94, 95%CI 1.76 to 2.14), four (aOR = 2.38, 95%CI 2.07 to 2.74), and five or more (aOR = 2.89, 95%CI 2.42 to 3.45) physical conditions was prospectively associated with incident depression at follow-up in a dose response manner. Similar trends emerged for incident anxiety, persistent depression, and persistent anxiety, but associations were strongest for incident CMDs. Regarding specific patterns of physical MM, the respiratory pattern (aOR = 3.23, 95%CI 2.44 to 4.27) and the pain/gastrointestinal pattern (aOR = 2.19, 95%CI 1.92 to 2.50) emerged as the strongest predictors of incident depression. Similar results emerged for incident anxiety.

interpretationThese findings highlight patterns of physical multimorbidity with the poorest prognosis for both emerging and persisting depression and anxiety. These findings might have significant implications for the implementation of integrated mental and physical healthcare and facilitate the development of targeted preventative interventions and treatment for those with physical multimorbidity.

fundingAR is supported by Guy's Charity grant number EIC180702; JAT is funded by Medical Research Council (MRC) number MR/SO28188/1; AD is funded by Guy's Charity grant number EIC180702 and MRC grant number MR/SO28188/1. JD is part supported by the ESRC Centre for Society and Mental Health at King's College London (ES/S012567/1), grants from the ESRC (ES/S002715/1), by the Health Foundation working together with the Academy of Medical Sciences, for a Clinician Scientist Fellowship, and by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London and the National Institute for Health Research (NIHR) Applied Research Collaboration South London (NIHR ARC South London) at King's College Hospital NHS Foundation Trust. The views expressed are those of the author[s] and not necessarily those of the ESRC, NIHR, the Department of Health and Social Care or King's College London.

Indexed as

AnxietyDepressionExploratory factor analysisMultimorbidity

Identifiers

PMID34557851
PMCPMC8447568
OpenAlexW3174190271

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.