Evidence map›Paper›PMID 37762801›Full record

ArticleJournal of clinical medicine2023

Multimorbidity Patterns in the Urban Population in Poland.

Małgorzata Chlabicz, Jacek Jamiołkowski, Paweł Sowa, Magdalena Zalewska, Łukasz Kiszkiel, Mariusz Ciołkiewicz, Radosław Motkowski, Irina Kowalska, Łukasz Minarowski, Karol A Kamiński

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 9 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

10 authors at 2 institutions in 1 country.

Małgorzata ChlabiczDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-5113-5672
Jacek JamiołkowskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.
Paweł SowaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-8357-5816
Magdalena ZalewskaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.
Łukasz KiszkielSociety and Cognition Unit, Institute of Sociology, University of Bialystok, 15-403 Bialystok, Poland.ORCID 0000-0002-0712-3260
Mariusz CiołkiewiczDepartment of Rehabilitation, Medical University of Bialystok, 15-276 Bialystok, Poland.
Radosław MotkowskiDepartment of Pediatrics, Rheumatology, Immunology and Metabolic Bone Diseases, University Children's Hospital, Medical University of Bialystok, 15-274 Bialystok, Poland.ORCID 0000-0002-8735-2783
Irina KowalskaDepartment of Internal Medicine and Metabolic Diseases, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0001-9281-1959
Łukasz Minarowski2nd Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, 15-540 Bialystok, Poland.ORCID 0000-0002-2536-3508
Karol A KamińskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-9465-2581
Medical University of Białystok · PLUniversity of Białystok · PL

Funding

Medical University of Bialystok, Poland SUB/1/00/19/001/1201
6 · The paper itself

Abstract

A number of studies have been conducted on multimorbidity; however, there are different patterns in various countries, ethnicities and social groups. The aim of this study is to estimate the prevalence of multimorbidity (physical diseases) in the urban population in Poland. In this population-based study, we examined multimorbidity stratified by sex, age, educational attainment and professional activity. Sixty-seven conditions were identified based on self-reported history (known conditions) and completed examinations (unknown conditions). Among the overall individuals aged 20-80 years, 1422 (88.2%) of the total 1612 individuals, 787 (88.9%) of 885 women and 635 (87.3%) of 727 men were diagnosed with at least two chronic conditions. On average, 5.25 ± 3.5 conditions occurred in the study population. The number of diagnosed conditions per individual increased with age and decreased with higher educational levels, with differing pathways in women and men. Women showed a higher number of conditions than men in the same age groups and educational levels. Only among students, the level of multimorbidity was lower in women than in men. In the other occupational activity categories, it was already higher in women. The level of multimorbidity in employed and unemployed individuals in a particular sex cluster was similar. We identified a high prevalence of multimorbidity in the urban population in Poland varying by age, sex, education attainment and professional activity. Our work may help in the selection of appropriate screening tests based on age, sex and educational attainment in order to recognise multimorbidity based on both known and unknown conditions. Ultimately, it may impact clinical practice, service delivery and study design.

Indexed as

disabilityloss of healthmultimorbiditypopulation-based study

Identifiers

PMID37762801
PMCPMC10531963
OpenAlexW4386620648

What OpenQuestion holds

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LicenceCC BY
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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.