Evidence map›Paper›PMID 29091928›Full record

ArticlePloS one2017

Relationship between educational and occupational levels, and Chronic Kidney Disease in a multi-ethnic sample- The HELIUS study.

David N Adjei, Karien Stronks, Dwomoa Adu, Marieke B Snijder, Pietro A Modesti, Ron J G Peters, Liffert Vogt, Charles Agyemang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Diversity in Alzheimer's disease drug trials: The importance of eligibility criteria.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
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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

8 authors at 3 institutions in 3 countries.

David N AdjeiDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2306-5723
Karien StronksDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Dwomoa AduDepartment of Medicine, School of Medicine and Dentistry, University of Ghana and Korle-Bu Teaching Hospital, Accra, Ghana.
Marieke B SnijderDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Pietro A ModestiDepartment of Clinical and Experimental Medicine, University of Florence, Florence, Italy.
Ron J G PetersDepartment of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Liffert VogtDepartment of Internal Medicine, section Nephrology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Charles AgyemangDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam UMC Location University of Amsterdam · NLUniversity of Ghana · GHUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthnic minority groups in high-income countries are disproportionately affected by Chronic Kidney Disease (CKD) for reasons that are unclear. We assessed the association of educational and occupational levels with CKD in a multi-ethnic population. Furthermore, we assessed to what extent ethnic inequalities in the prevalence of CKD were accounted for by educational and occupational levels.

methodsCross-sectional analysis of baseline data from the Healthy Life in an Urban Setting (HELIUS) study of 21,433 adults (4,525 Dutch, 3,027 South-Asian Surinamese, 4,105 African Surinamese, 2,314 Ghanaians, 3,579 Turks, and 3,883 Moroccans) aged 18 to 70 years living in Amsterdam, the Netherlands. Three CKD outcomes were considered using the 2012 KDIGO (Kidney Disease: Improving Global Outcomes) severity of CKD classification. Comparisons between educational and occupational levels were made using logistic regression analyses.

resultsAfter adjustment for sex and age, low-level and middle-level education were significantly associated with higher odds of high to very high-risk of CKD in Dutch (Odds Ratio (OR) 2.10, 95% C.I., 1.37-2.95; OR 1.55, 95% C.I., 1.03-2.34). Among ethnic minority groups, low-level education was significantly associated with higher odds of high to very-high-risk CKD but only in South-Asian Surinamese (OR 1.58, 95% C.I., 1.06-2.34). Similar results were found for the occupational level in relation to CKD risk.

conclusionThe lower educational and occupational levels of ethnic minority groups partly accounted for the observed ethnic inequalities in CKD. Reducing CKD risk in ethnic minority populations with low educational and occupational levels may help to reduce ethnic inequalities in CKD and its related complications.

Indexed as

Educational StatusEthnicityOccupationsAdolescentAdultAgedCross-Sectional StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedPrevalenceYoung Adult

Identifiers

PMID29091928
PMCPMC5665422
OpenAlexW2765218887

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.