Evidence map›Paper›PMID 33571285›Full record

ArticlePloS one2021

Multimorbidity and its associated factors among adults aged 50 and over: A cross-sectional study in 17 European countries.

Dyego Leandro Bezerra de Souza, Albert Oliveras-Fabregas, Albert Espelt, Marina Bosque-Prous, Marianna de Camargo Cancela, Ester Teixidó-Compañó, Javier Jerez-Roig

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 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

7 authors at 3 institutions in 2 countries.

Dyego Leandro Bezerra de SouzaDepartment of Collective Health, Graduate Programme in Collective Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Albert Oliveras-FabregasFaculty of Health Sciences and Welfare, Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Centre for Health and Social Care Research (CESS), University of Vic-Central University of Catalonia (UVic-UCC), Barcelona, Spain.ORCID 0000-0001-8262-7672
Albert EspeltFaculty of Health Sciences of Manresa, University of Vic-Central University of Catalonia, Manresa, Spain.
Marina Bosque-ProusFaculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.ORCID 0000-0002-8830-8880
Marianna de Camargo CancelaBrazilian National Cancer Institute, Rio de Janeiro, Brazil.
Ester Teixidó-CompañóFaculty of Health Sciences of Manresa, University of Vic-Central University of Catalonia, Manresa, Spain.
Javier Jerez-RoigPostgraduate Programme in Collective Health, Federal University of Rio Grande do Norte (UFRN), Natal-RN, Brazil.
Universitat de Vic - Universitat Central de Catalunya · ESInstituto Nacional de Câncer - INCA · BRUniversitat Oberta de Catalunya · ES

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
NIA NIH HHS HHSN271201300071CNIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R21 AG025169NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

aimsTo estimate the prevalence of multimorbidity among European community-dwelling adults, as well as to analyse the association with gender, age, education, self-rated health, loneliness, quality of life, size of social network, Body Mass Index (BMI) and disability.

methodsA cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 63,844) from 17 European countries were selected. Multimorbidity was defined as presenting two or more health conditions. The independent variables were gender, age group, educational level, self-rated health, loneliness, size of network, quality of life, BMI and disability (1+ limitations of basic activities of daily living). Poisson regression models with robust variance were fit for bivariate and multivariate analysis.

resultsThe prevalence of multimorbidity was 28.2% (confidence interval-CI 95%: 27.5.8-29.0) among men and 34.5% (CI95%: 34.1-35.4) among women. The most common health conditions were cardiometabolic and osteoarticular diseases in both genders, and emotional disorders in younger women. A large variability in the prevalence of multimorbidity in European countries was verified, even between countries of the same region.

conclusionsMultimorbidity was associated with sociodemographic and physical characteristics, self-rated health, quality of life and loneliness.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAge FactorsBone DiseasesCartilage DiseasesCross-Sectional StudiesDepressionEuropeFemaleHumansIndependent LivingMaleMetabolic SyndromeMiddle AgedMultimorbidity

Identifiers

PMID33571285
PMCPMC7877625
OpenAlexW3127983513

What OpenQuestion holds

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LicenceCC BY
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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.