Evidence map›Paper›PMID 31129570›Full record

ArticleBMJ open2019

Cross-sectional study of association between socioeconomic indicators and chronic kidney disease in rural-urban Ghana: the RODAM study.

David N Adjei, Karien Stronks, Dwomoa Adu, Erik Beune, Karlijn Meeks, Liam Smeeth, Juliet Addo, Ellis Owusu-Dabo, Kerstin Klipstein-Grobusch, Frank P Mockenhaupt and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

15 authors at 9 institutions in 6 countries.

David N AdjeiDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.ORCID 0000-0003-2306-5723
Karien StronksDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Dwomoa AduDepartment of Medicine, School of Medicine and Dentistry, University of Ghana and Korle-Bu Teaching Hospital, Accra, Ghana.
Erik BeuneDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Karlijn MeeksDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Liam SmeethDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Juliet AddoDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Ellis Owusu-DaboDepartment of Public Health, Kumasi Centre for Collaborative Research, KNUST, Kumasi, Ghana.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands.
Frank P MockenhauptInstitute of Tropical Medicine and International Health, Charité - University Medicine Berlin, Berlin, Germany.
Ina DanquahDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
Joachim SprangerDepartment of Endocrinology and Metabolism, Charité-University Medicine Berlin, Berlin, Germany.
Silver BahendekaMKPGMS - Uganda Martyrs University, Kampala, Uganda.
Ama De-Graft AikinsDepartment of Population studies, Regional Institute for Population Studies, University of Ghana, Legon, Ghana.
Charles AgyemangDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Amsterdam UMC Location University of Amsterdam · NLUniversity of Ghana · GHLondon School of Hygiene & Tropical Medicine · GBCharité - Universitätsmedizin Berlin · DEGerman Centre for Cardiovascular Research · DEGerman Institute of Human Nutrition · DEKwame Nkrumah University of Science and Technology · GHUganda Martyrs University · UGUniversity of the Witwatersrand · ZA

Funding

Wellcome TrustWellcome Trust WT082178
6 · The paper itself

Abstract

objectivesStudies from high-income countries suggest higher prevalence of chronic kidney disease (CKD) among individuals in low socioeconomic groups. However, some studies from low/middle-income countries show the reverse pattern among those in high socioeconomic groups. It is unknown which pattern applies to individuals living in rural and urban Ghana. We assessed the association between socioeconomic status (SES) indicators and CKD in rural and urban Ghana and to what extent the higher SES of people in urban areas of Ghana could account for differences in CKD between rural and urban populations.

settingThe study was conducted in Ghana (Ashanti region). We used baseline data from a multicentre Research on Obesity and Diabetes among African Migrants (RODAM) study.

participantsThe sample consisted of 2492 adults (Rural Ghana, 1043, Urban Ghana, 1449) aged 25-70 years living in Ghana. EXPOSURE: Educational level, occupational level and wealth index. OUTCOME: Three CKD outcomes were considered using the 2012 Kidney Disease: Improving Global Outcomes severity of CKD classification: albuminuria, reduced glomerular filtration rate and high to very high CKD risk based on the combination of these two.

resultsAll three SES indicators were not associated with CKD in both rural and urban Ghana after age and sex adjustment except for rural Ghana where high wealth index was significantly associated with higher odds of reduced estimated glomerular filtration rate (eGFR) (adjusted OR, 2.38; 95% CI 1.03 to 5.47). The higher rate of CKD observed in urban Ghana was not explained by the higher SES of that population.

conclusionSES indicators were not associated with prevalence of CKD except for wealth index and reduced eGFR in rural Ghana. Consequently, the higher SES of urban Ghana did not account for the increased rate of CKD among urban dwellers suggesting the need to identify other factors that may be driving this.

Indexed as

Socioeconomic FactorsAdultAgedAlbuminuriaComorbidityCross-Sectional StudiesFemaleGhanaGlomerular Filtration RateHumansMaleMiddle AgedPrevalenceRenal Insufficiency, ChronicRisk FactorsRural Populationchronic kidney diseasehealth inequalitiesrodam studyruralsocioeconomic statusurban

Identifiers

PMID31129570
PMCPMC6537994
OpenAlexW2946127781

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.