Evidence map›Paper›PMID 31523632›Full record

ArticleJournal of comorbidity

Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002-2015.

Leo Singer, Mark Green, Francisco Rowe, Yoav Ben-Shlomo, Hill Kulu, Karyn Morrissey

Open access · goldAbstract read
In one paragraph

Article in Journal of comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 4 institutions in 1 country.

Leo SingerDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0003-2543-4465
Mark GreenDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.
Francisco RoweDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0003-4137-0246
Yoav Ben-ShlomoBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Hill KuluSchool of Geography and Sustainable Development, University of St Andrews, Scotland, UK.
Karyn MorrisseyCollege of Medicine and Health, University of Exeter, Exeter, UK.
University of Liverpool · GBUniversity of Bristol · GBUniversity of Exeter · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to estimate the prevalence of three measures of multimorbidity among people aged 50 years or older in England. Beside the basic measure of two or more diseases within a person, we added a measure of three or more affected body systems (complex multimorbidity) and a measure of 10 or more functional limitations. We found that the three health outcomes became more prevalent between 2002 and 2015. They were more common among females than males and were becoming more common among younger age groups. While in 2002, the prevalence of basic multimorbidity overcame 50% from the 70-74 age group upwards, in 2015 it crossed the same threshold in the 65-69 age group. The distribution of multimorbidity and multiple functional limitations were stratified by the amount of household wealth. Multiple functional limitations reflected the largest differences between the most and the least affluent groups (5.9-fold in 2014/2015), followed by the measure of complex multimorbidity (2.8-fold in 2014/2015) and basic multimorbidity (1.9-fold) in 2014/2015.While age acted as a levelling factor for the wealth differences in basic multimorbidity, it had no such effect on the two other outcomes. Our study observed social polarization among multimorbid ageing population in England where complex multimorbidity and multiple functional limitations increase faster and reflect stronger inequality than basic multimorbidity.

Indexed as

ageageingcomplex multimorbidityELSAEnglandfunctional limitationshousehold wealthMultimorbidityprevalencesexsocio-economic statustrends

Identifiers

PMID31523632
PMCPMC6727093
OpenAlexW2972004649

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.