Dataset from: Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study

Simple item page
dc.contributor.authorFabian, June
dc.contributor.authorGondwe, Mwawi
dc.contributor.authorMayindi, Nokthula
dc.contributor.authorKhoza, Bongekile
dc.contributor.authorGaylard, Petra
dc.contributor.authorWade, Alisha N.
dc.contributor.authorGómez‑Olivé, F. Xavier
dc.contributor.authorTomlinson, Laurie A.
dc.contributor.authorRamsay, Michele
dc.contributor.authorTollman, Stephen Meir
dc.contributor.authorWinkler, Cheryl
dc.contributor.authorGeorge, Jaya Anna
dc.contributor.authorNaicker, Saraladevi
dc.contributor.otherStudy data were collected and managed using opensource REDCap electronic data capture tools hosted at the University of the Witwatersrand
dc.date.accessioned2022-07-13T10:09:21Z
dc.date.available2022-07-13T10:09:21Z
dc.date.issued2022-07-13
dc.descriptionTitle of the paper explaining the data Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study Authors: June Fabian, Mwawi Gondwe, Nokthula Mayindi, Shingirai Chipungu, Bongekile Khoza, Petra Gaylard, Alisha N. Wade, F. Xavier Gómez-Olivé, Laurie A. Tomlinson, Michele Ramsay, Stephen Tollman, Cheryl Winkler, Jaya George, Saraladevi Naicker, on behalf of the ARK Consortium. About the study: The African Research on Kidney Disease (ARK) Consortium is a multicentre partnership between Malawi, South Africa, Uganda, and the United Kingdom. The study sites for the ARK Consortium are nested within population cohorts hosted by the Malawi Epidemiology and Intervention Research Unit (MEIRU), the Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit; and the Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, South Africa. Our primary objectives were to determine chronic kidney disease (CKD) prevalence (estimated from serum creatinine) and identify associated risk factors. This paper presents the findings from the ARK-South Africa partner. Findings from Malawi and Uganda are already published, as detailed below: “Prevalence of impaired renal function among rural and urban populations: findings of a cross-sectional study in Malawi.” Wellcome Open Res. 2019; 4: 92. https://doi.org/10.12688/wellcomeopenres.15255 “Impaired renal function in a rural Ugandan population cohort.” Wellcome Open Res. 2018; 3: 149. Published online 2019 May 20. https://doi.org/10.12688/wellcomeopenres.14863en_ZA
dc.description.abstractStudy Methods This longitudinal cohort study was conducted from November 2017 to September 2018 in the Medical Research Council (MRC)/Wits Rural Public Health and Health Transitions Research Unit (otherwise referred to as "Agincourt") in Bushbuckridge, a rural subdistrict of the Mpumalanga province in north-eastern South Africa. Agincourt is a Health and Socio-Demographic Surveillance System (HDSS) site that includes approximately 115,000 people. For this study, a minimum sample size of 1800 was required to provide at least 80% power to determine CKD prevalence of at least 5%, provided the true prevalence was equal to or more than 6.5%. Proportional allocation of Black African adults aged 20 to 79 years ensured a representative sample based on the most recent annual population census. Sample size was increased proportionately to 2759 individuals to accommodate a 25% non-participation rate. Dataset is 2022 cases Variables are: 1. age 2. Gender 3. Years of Education (refers to completed years of schooling) 4. Height (cm) (one decimal place) 5. weight (kg) (one decimal place) 6. BMI (body mass index) 7. POC random cholesterol (mmol/L) (2 decimal places) 8. POC random glucose (mmol/L) (1 decimal place) 9. HIV status is: Based on (i) prior HIV testing history OR (ii) HIV PCR testing for ARK 10. Using the urine pregnancy test, is this participant pregnant? ( 11. ERY (erythrocytes, blood) 12. Hb (haemoglobin, blood) LEU (leucocytes) 13. NIT (nitrites) 14. PRO (protein) 15. hepatitis B surface antigen 16. Serum creatinine (umol/L) 17. Systolic BP(1) 18. Diastolic BP (1) 19. Systolic BP(2) 20. Diastolic BP (2) 21. Systolic BP(3) 22. Diastolic BP (3) 23. Serum creatinine (umol/L) 24. Urine microalbumin (mg/L) 25. Urine creatinine (mmol/L) 26. Urine microalbumin (mg/L) 27. Urine creatinine (mmol/L) 28. APOL1 haplotypeen_ZA
dc.description.librarianNSLen_ZA
dc.description.sponsorshipThe ARK South Africa Study was jointly funded by the South African MRC, MRC UK (via the Newton Fund), and GSK Africa Non-Communicable Disease Open Lab (via a supporting grant Project Number: 074, and the Faculty of Health Sciences Research Incentive Grant; Grant number: 0012838434203512110500000000000000004550; University of the Witwatersrand; FHS (Wits). The MRC/Wits Rural Public Health and Health Transitions Research Unit and Agincourt Health and Socio-Demographic Surveillance System, a node of the South African Population Research Infrastructure Network (SAPRIN), is supported by the Department of Science and Innovation, the University of the Witwatersrand, and the Medical Research Council, South Africa, and previously the Wellcome Trust, UK (grants 058893/Z/99/A; 069683/Z/02/Z; 085477/Z/08/Z; 085477/B/08/Z).en_ZA
dc.description.urlhttps://github.com/junefabian/junefabian
dc.facultyHealth Scienceen_ZA
dc.funderSouth African MRC, MRC UK (via the Newton Fund); GSK Africa Non-Communicable Disease Open Lab; Faculty of Health Sciences Researchen_ZA
dc.identifier.urihttps://hdl.handle.net/10539/33016
dc.identifier.urihttps://doi.org/10.54223/uniwitwatersrand-10539-33016
dc.identifier.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.language.isoenen_ZA
dc.orcid.id0000-0001-7130-9142en_ZA
dc.orcid.id0000-0002-4198-7935en_ZA
dc.orcid.id0000-0002-216-2154en_ZA
dc.orcid.id0000-0002-6299-8502en_ZA
dc.orcid.id0000-0002-2333-5888en_ZA
dc.orcid.id0000-0002-0055-9168en_ZA
dc.orcid.id0000-0002-1158-2523en_ZA
dc.orcid.id0000-0002-4876-0848en_ZA
dc.orcid.id0000-0001-8848-9493en_ZA
dc.orcid.id0000-0002-4156-4801en_ZA
dc.orcid.id0000-0003-0744-7588en_ZA
dc.orcid.id0000-0001-5552-0917en_ZA
dc.orcid.id0000-0001-8769-3505en_ZA
dc.orcid.id0000-0002-7058-9725en_ZA
dc.rightsThe data set is anonymised/deidentified and has been made totally open. The identified/ raw data is located in the REDcap project held in a managed system which includes security , backups and administration. Access to the project is by open agreement but would need an ethics review from the researcher’s own institution. the PI imposes no restrictions and makes no warranties.en_ZA
dc.schoolSchool of Public Healthen_ZA
dc.subjectchronic kidney diseaseen_ZA
dc.subjectAfricaen_ZA
dc.subjectSouth Africaen_ZA
dc.subjecthypertensionen_ZA
dc.subjectHIV infectionen_ZA
dc.subjectdiabetesen_ZA
dc.subjectapolipoprotein L1en_ZA
dc.subject.meshRenal Insufficiency, Chronic
dc.subject.meshKidney Failure, Chronic
dc.subject.meshUrogenital Diseases
dc.subject.meshGeographic Locations:Africa
dc.subject.meshAfrica South of the Sahara
dc.subject.meshVascular Diseases
dc.subject.meshHypertension, Renal
dc.subject.meshHypertension, Renovascular
dc.subject.meshHIV Infections
dc.subject.meshAcquired Immunodeficiency Syndrome
dc.subject.meshDiabetes Mellitus
dc.subject.meshNutritional and Metabolic Diseases
dc.subject.meshLipoproteins
dc.subject.meshApolipoproteins
dc.subject.meshHepatitis Antigens
dc.subject.meshLongitudinal Studies
dc.subject.meshCohort Studies
dc.subject.meshEpidemiologic Studies
dc.subject.meshSentinel Surveillance Monitoring of rate of occurrence of specific conditions to assess the stability or change in health levels of a population. It is also the study of disease rates in a specific cohort such as in a geographic area or population subgroup to estimate trends in a larger population. (From Last, Dictionary of Epidemiology, 2d ed)
dc.subject.meshPopulation Surveillance
dc.subject.meshPublic Health Surveillance
dc.titleDataset from: Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort studyen_ZA
dc.title.alternativeThis work is presented on behalf of the African Research on Kidney Disease (ARK) Consortium.en_ZA
dc.typeDataseten_ZA
ddi.analysisunit115,000
ddi.cleanops
ddi.colldateNovember 2017 - September 2018
ddi.collmodeSurvey
ddi.collmodeSurveillance
ddi.dataaccsCC0
ddi.datacollectorHealth and Socio-Demographic Surveillance System (HDSS)
ddi.datakindDemographic
ddi.datatypeTabular
ddi.geogcoverMpumalanga Province South Africa
ddi.geogunitCensus
ddi.method1-in-10 AHDSS Sample Database This database is a 10% sample of the full Agincourt database i.e. 10% of all “locations” in the demographic surveillance area. The current version available is extracted from cleaned database snapshot produced at the end of the 2011 AHDSS census round. This can be used as an evaluation tool for developing data requests and for familiarising the would-be analyst with the structure and availability of data in the Agincourt database. It also can be used as a teaching tool for demographic methods and the management of the demographic surveillance system data. It does not contain data that can be analysed for publication. From https://www.agincourt.co.za/?page_id=1799
ddi.nationSouth Africa
ddi.sampproca minimum sample size of 1800 was required to provide at least 80% power to determine CKD prevalence of at least 5%, provided the true prevalence was equal to or more than 6.5%.
ddi.timemethLongitudinal
ddi.timeprdyear
ddi.universe115,000
Files
Original bundle
Now showing 1 - 4 of 4
No Thumbnail Available
Name:
README_github_6.7.2022.docx
Size:
97.06 KB
Format:
Microsoft Word XML
Description:
Readme Orginal
Download
No Thumbnail Available
Name:
junefabian-main.zip
Size:
62.94 KB
Format:
Unknown data format
Description:
data in github format
Download
No Thumbnail Available
Name:
dataset_ark_sa_ckd_prevalence plan text.rtf
Size:
326.67 KB
Format:
Rich Text Format
Description:
plain text data
Download
No Thumbnail Available
Name:
Copy of dataset_ark_sa_ckd_prevalence 13 Jul 2022.xlsx
Size:
269.18 KB
Format:
Microsoft Excel XML
Description:
dataset in xlsx
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
No Thumbnail Available
Name:
cc0 1.0.txt
Size:
947 B
Format:
Plain Text
Description:
Download
Collections
Nephrology