Evidence map›Paper›PMID 36997222›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023

Age, sex, and socioeconomic differences in multimorbidity measured in four ways: UK primary care cross-sectional analysis.

Clare MacRae, Stewart W Mercer, David Henderson, Megan McMinn, Daniel R Morales, Emily Jefferson, Ronan A Lyons, Jane Lyons, Chris Dibben, David A McAllister and 1 more

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

11 authors.

Clare MacRaeAdvanced Care Research Centre, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-1007-683X
Stewart W MercerAdvanced Care Research Centre, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-1703-3664
David HendersonCentre for Population Health Sciences, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-4411-8532
Megan McMinnCentre for Population Health Sciences, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, Dundee, UK; Department of Public Health, University of Southern Denmark, Denmark.ORCID 0000-0002-7469-0898
Emily JeffersonHealth Informatics Centre, Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0003-2992-7582
Ronan A LyonsSwansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.ORCID 0000-0001-5225-000X
Jane LyonsSwansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.ORCID 0000-0002-4407-770X
Chris DibbenSchool of Geosciences, College of Science and Engineering, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1769-3774
David A McAllisterPublic Health, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0003-3550-1764
Bruce GuthrieAdvanced Care Research Centre, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4191-4880

Funding

Chief Scientist Office HIPS/18/30Medical Research Council MR/W000253/1
6 · The paper itself

Abstract

backgroundMultimorbidity poses major challenges to healthcare systems worldwide. Definitions with cut-offs in excess of ≥2 long-term conditions (LTCs) might better capture populations with complexity but are not standardised.

aimTo examine variation in prevalence using different definitions of multimorbidity. DESIGN AND

settingCross-sectional study of 1 168 620 people in England.

methodComparison of multimorbidity (MM) prevalence using four definitions: MM2+ (≥2 LTCs), MM3+ (≥3 LTCs), MM3+ from 3+ (≥3 LTCs from ≥3 International Classification of Diseases, 10th revision chapters), and mental-physical MM (≥2 LTCs where ≥1 mental health LTC and ≥1 physical health LTC are recorded). Logistic regression was used to examine patient characteristics associated with multimorbidity under all four definitions.

resultsMM2+ was most common (40.4%) followed by MM3+ (27.5%), MM3+ from 3+ (22.6%), and mental-physical MM (18.9%). MM2+, MM3+, and MM3+ from 3+ were strongly associated with oldest age (adjusted odds ratio [aOR] 58.09, 95% confidence interval [CI] = 56.13 to 60.14; aOR 77.69, 95% CI = 75.33 to 80.12; and aOR 102.06, 95% CI = 98.61 to 105.65; respectively), but mental-physical MM was much less strongly associated (aOR 4.32, 95% CI = 4.21 to 4.43). People in the most deprived decile had equivalent rates of multimorbidity at a younger age than those in the least deprived decile. This was most marked in mental-physical MM at 40-45 years younger, followed by MM2+ at 15-20 years younger, and MM3+ and MM3+ from 3+ at 10-15 years younger. Females had higher prevalence of multimorbidity under all definitions, which was most marked for mental-physical MM.

conclusionEstimated prevalence of multimorbidity depends on the definition used, and associations with age, sex, and socioeconomic position vary between definitions. Applicable multimorbidity research requires consistency of definitions across studies.

Indexed as

MultimorbidityPrimary Health CareCross-Sectional StudiesFemaleHumansPrevalenceSocioeconomic FactorsUnited Kingdomepidemiologymultimorbidityprimary caresocioeconomic disparities

Identifiers

PMID36997222
PMCPMC9923763

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.