Evidence map›Paper›PMID 33847995›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2021

Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians.

Anna Pefoyo Kone, Luke Mondor, Colleen Maxwell, Umme Saika Kabir, Laura C Rosella, Walter P Wodchis

Erratum issuedAbstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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  2. Factors associated with hip fracture following a fall-associated hospitalization in older adults: a retrospective cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Anna Pefoyo KoneDepartment of Health Sciences, Lakehead University, Thunder Bay, ON, Canada. akone@lakeheadu.ca.ORCID 0000-0003-0231-2713
Luke MondorHealth System Performance Network (HSPN), Toronto, ON, Canada.
Colleen MaxwellHealth System Performance Network (HSPN), Toronto, ON, Canada.
Umme Saika KabirDepartment of Health Sciences, Lakehead University, Thunder Bay, ON, Canada.
Laura C RosellaDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Walter P WodchisDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to provide population-level data regarding trends in multimorbidity over 13 years.

methodsWe linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and across age, sex, and income; and (ii) chronic condition clusters. Multimorbidity was defined as having at least any 2 of 18 selected conditions, and further grouped into levels of 2, 3, 4, or 5 or more conditions. Age-sex standardized multimorbidity prevalence was estimated using the 2009 population as the standard. Clustering was defined using the observed combinations of conditions within levels of multimorbidity.

resultsStandardized prevalence of multimorbidity increased over time (26.5%, 28.8%, and 30.0% across sequential panels), across sex, age, and area-based income. Females, older adults and those living in lower income areas exhibited higher rates in all years. However, multimorbidity increased relatively more among males, younger adults, and those with 4 or 5 or more conditions. We observed numerous and increasing diversity in disease clusters, namely at higher levels of multimorbidity.

conclusionOur study provides relevant and needed population-based information on the growing burden of multimorbidity, and related socio-demographic risk factors. Multimorbidity is markedly increasing among younger age cohorts. Also, there is an increasing complexity and lack of common clustering patterns at higher multimorbidity levels.

Indexed as

Health Status DisparitiesMultimorbidityAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesDemographyFemaleHumansInfantInfant, NewbornMaleMiddle AgedOntarioAdministrative dataDisease clustersMultimorbidityOntarioSocio-demographicsTrends

Identifiers

PMID33847995
PMCPMC8043089

What OpenQuestion holds

Textmetadata
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.