Evidence map›Paper›PMID 30768174›Full record

ArticleEuropean journal of public health2019

Do ethnic inequalities in multimorbidity reflect ethnic differences in socioeconomic status? The HELIUS study.

Wim J G M Verest, Henrike Galenkamp, Bea Spek, Marieke B Snijder, Karien Stronks, Irene G M van Valkengoed

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  5. Asthma and Multimorbidity Amongst Ethnic Minority Groups in High Income Countries.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
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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

6 authors at 3 institutions in 1 country.

Wim J G M VerestDepartment of Public Health, Amsterdam UMC, Amsterdam Public Health (APH) Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Henrike GalenkampDepartment of Public Health, Amsterdam UMC, Amsterdam Public Health (APH) Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Bea SpekDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Marieke B SnijderDepartment of Public Health, Amsterdam UMC, Amsterdam Public Health (APH) Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Karien StronksDepartment of Public Health, Amsterdam UMC, Amsterdam Public Health (APH) Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Irene G M van ValkengoedDepartment of Public Health, Amsterdam UMC, Amsterdam Public Health (APH) Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
University of Amsterdam · NLGGD Amsterdam · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of multimorbidity is likely higher in ethnic minority populations, as most individual diseases are more prevalent in minority groups. However, information is scarce. We examined ethnic inequalities in multimorbidity, and investigated to what extent they reflect differences in socioeconomic status (SES).

methodsWe included Healthy Life in an Urban Setting study participants of Dutch (N = 4582), South-Asian Surinamese (N = 3258), African Surinamese (N = 4267), Ghanaian (N = 2282), Turkish (N = 3879) and Moroccan (N = 4094) origin (aged 18-70 years). Educational level, employment status, income situation and multimorbidity were defined based on questionnaires. We described the prevalence and examined age-adjusted ethnic inequalities in multimorbidity with logistic regression analyses. To assess the contribution of SES, we added SES indicators to the age-adjusted model.

resultsThe prevalence of multimorbidity ranged from 27.1 to 53.4% in men and from 38.5 to 69.6% in women. The prevalence of multimorbidity in most ethnic minority groups was comparable to the prevalence among Dutch participants who were 1-3 decades older. After adjustment for SES, the odds of multimorbidity remained significantly higher in ethnic minority groups. For instance, age-adjusted OR for multimorbidity for the Turkish compared to the Dutch changed from 4.43 (3.84-5.13) to 2.34 (1.99-2.75) in men and from 5.35 (4.69-6.10) to 2.94 (2.54-3.41) in women after simultaneous adjustment for all SES indicators.

conclusionsWe found a significantly higher prevalence of multimorbidity in ethnic minority men and women compared to Dutch, and results pointed to an earlier onset of multimorbidity in ethnic minority groups. These inequalities in multimorbidity were not fully accounted for by differences in SES.

Indexed as

Educational StatusHealth StatusMultimorbiditySocial ClassAdolescentAdultAgedAge FactorsBlack PeopleCross-Sectional StudiesFemaleHumansMaleMiddle AgedMinority GroupsMorocco

Identifiers

PMID30768174
PMCPMC6660190
OpenAlexW2914961859

What OpenQuestion holds

Textmetadata
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.