Durban Diabetes Study:A Study of the Epidemiology of Diabetes Mellitus in Urban South Africans of African Descent (DDS)
DDS
Durban Diabetes Study: A Population Based Cross-sectional Study of the Epidemiology of Diabetes Mellitus in Urban South Africans of African Descent
2 other identifiers
observational
1,200
1 country
1
Brief Summary
Type 2 diabetes (T2D) is an emerging epidemic in sub-Saharan Africa, with an estimated prevalence of 6%. With around seven million cases of T2D in 2000, it is anticipated that over 18 million Africans will have the disease by 2030. In South Africa the prevalence of T2D in people of African descent has been reported to be between 3-10%. However, there have been limited studies on diabetes epidemiology in South Africans using currently employed World Health Organization (WHO) criteria. To assess the burden of T2D and associated risk factors in South Africa, we are establishing the Durban Diabetes Study (DDS) - a population-based cross-sectional study in the city of Durban (the eThekwini municipality) to be undertaken in 1,200 participants of African descent. In-depth health questionnaire responses, biophysical measurements and blood and urine samples will be gathered from these participants. These data will allow researchers to estimate the population prevalence of T2D and associated risk factors in the region. The infrastructure created for this cross sectional study has the potential to serve as a strong framework for future research initiatives and public health interventions within the region.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2014
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2014
CompletedFirst Submitted
Initial submission to the registry
December 12, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2015
CompletedFirst Posted
Study publicly available on registry
April 15, 2015
CompletedApril 15, 2015
April 1, 2014
1.1 years
December 12, 2014
April 9, 2015
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
prevalence of diabetes mellitus and associated cardiometabolic and infectious risk factors using the oral glucose tolerance test
1 year
Secondary Outcomes (4)
aetiological insights into the variation in cardiometabolic and infectious risk factors in adults using both population genetic and epidemiological approaches
1 year
compare diagnostic tests for diabetes (plasma glucose vs. Glycosylated Haemoglobin)
1 year
create a unique framework for building a large scale cross sectional study in an African population to examine a wide range of health indices-and lay the groundwork for additional long-term studies
1 year
inform health policy and public health programmes aimed at addressing the rise in NCDs in South Africa, which may also shape public health strategies in other African countries
2 years
Study Arms (1)
screening for diabetes prevalence
blood samples
Interventions
Eligibility Criteria
adult urban Africans (blacks) aged 18years and over living in the eThekwini Municipality (also know as the city of Durban) in the province of KwaZulu-Natal in South Africa.
You may qualify if:
- African descent
- aged 18 years or older
- not pregnant
- currently residing in Durban (eThekwini Municipality)
You may not qualify if:
- non- African descent
- pregnant
- not currently residing in Durban (eThekwini Municipality)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of KwaZululead
- Cambridge University Hospitals NHS Foundation Trustcollaborator
- University of Oxfordcollaborator
- University of Stellenboschcollaborator
Study Sites (1)
University of KwaZulu-Natal
Durban, KwaZulu-Natal, 4013, South Africa
Related Publications (9)
Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004 May;27(5):1047-53. doi: 10.2337/diacare.27.5.1047.
PMID: 15111519BACKGROUNDMbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010 Jun 26;375(9733):2254-66. doi: 10.1016/S0140-6736(10)60550-8.
PMID: 20609971BACKGROUNDMotala AA, Esterhuizen T, Gouws E, Pirie FJ, Omar MA. Diabetes and other disorders of glycemia in a rural South African community: prevalence and associated risk factors. Diabetes Care. 2008 Sep;31(9):1783-8. doi: 10.2337/dc08-0212. Epub 2008 Jun 3.
PMID: 18523142BACKGROUNDLevitt NS, Katzenellenbogen JM, Bradshaw D, Hoffman MN, Bonnici F. The prevalence and identification of risk factors for NIDDM in urban Africans in Cape Town, South Africa. Diabetes Care. 1993 Apr;16(4):601-7. doi: 10.2337/diacare.16.4.601.
PMID: 8462387BACKGROUNDWhiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011 Dec;94(3):311-21. doi: 10.1016/j.diabres.2011.10.029. Epub 2011 Nov 12.
PMID: 22079683BACKGROUNDMcCarthy MI, Abecasis GR, Cardon LR, Goldstein DB, Little J, Ioannidis JP, Hirschhorn JN. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat Rev Genet. 2008 May;9(5):356-69. doi: 10.1038/nrg2344.
PMID: 18398418BACKGROUNDInternational Expert Committee. International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care. 2009 Jul;32(7):1327-34. doi: 10.2337/dc09-9033. Epub 2009 Jun 5. No abstract available.
PMID: 19502545BACKGROUNDYoung F, Critchley JA, Johnstone LK, Unwin NC. A review of co-morbidity between infectious and chronic disease in Sub Saharan Africa: TB and diabetes mellitus, HIV and metabolic syndrome, and the impact of globalization. Global Health. 2009 Sep 14;5:9. doi: 10.1186/1744-8603-5-9.
PMID: 19751503BACKGROUNDNegro F, Alaei M. Hepatitis C virus and type 2 diabetes. World J Gastroenterol. 2009 Apr 7;15(13):1537-47. doi: 10.3748/wjg.15.1537.
PMID: 19340895BACKGROUND
Biospecimen
1. whole blood for DNA extraction and genetic analysis. 2. EDTA whole blood for Full Blood Count and Glycosylated Haemoglobin 3. EDTA whole blood for Hepatitis C Viral load test and RNA extraction for whole virus genome sequencing. 4. Plain serum for liver function test, serum lipids, insulin and c-peptide, and for viral markers- HIV, Hepatitis . 5. Sodium Fluoride tubes for plasma glucose
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ayesha A Motala, MBChB, MD
University of KwaZulu
Study Design
- Study Type
- observational
- Observational Model
- ECOLOGIC OR COMMUNITY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 12, 2014
First Posted
April 15, 2015
Study Start
January 1, 2014
Primary Completion
February 1, 2015
Study Completion
February 1, 2015
Last Updated
April 15, 2015
Record last verified: 2014-04