Norwegian version of this page

Risk Markers for Type 2 Diabetes, Metabolic syndrome: Prediction & Primary Prevention

This project will provide critical information’s on diabetes and its risk factors for accessible, affordable and optimal care for the management of the disease in Cameroon and Africa at large.

About the project

Diabetes challenges can only be overcome in Cameroon and Africa at large, if the extends of the problem and its specific risk factor is known. The cultural, genetic, ethnic, socioeconomic and epidemiological transition in the region of Africa makes it difficult for the findings from epidemiological studies conducted in USA, Europe, Asia and other part of the world to be applicable in this population.

In Cameroon as with other Africa countries, large scale population based studies on epidemiology of diabetes are scarce, despite that the prevalence of diabetes continues to be on the rise and particular the high burden of undiagnosed diabetes. The challenges of Africa include the need to stem the rising burden of type 2 diabetes, exacerbated by urbanization and obesity.

This project will provide critical information’s on diabetes and its risk factors for accessible, affordable and optimal care for the management of the disease in Cameroon and Africa at large.

Objectives

  • To assess the application and applicability of existing non-invasive prevalent diabetes risk models to population within Africa
  • Assessing and comparing the strength and discriminatory power of body mass index and other obesity indices in predicting screen-detected diabetes in a representative sample of Cameroonians
  • Assessing the prevalence and distribution of body size phenotypes  among urban and rural Cameroonians
  • To examine potential associations between overweight/obesity and dysglycemia in rural and urban Cameroon and estimate how much percentage (%) of dysglycemia should be attributable to overweight/obesity in the Cameroonian population

Outcomes

The adjusted OR and 95%CI for prevalent SDM with each SD higher adipometric variable were: 1.05 (0.98-1-13) for BMI, 1.30 (1.16-1.46) for WC, 1.18 (1.05-1.34) for HC, 1.05 (1.00-1.16) for WHR and 1.26 (1.11-1.39) for WHtR. c-statistic comparisons and RIDI analyses showed a trend toward a significant superiority of WC over other adipometric variables in multivariable models. Combining adiposity variables did not improve discrimination beyond multivariable models with WC alone.

  • V.N. Mbanya, A.P. Kengne, J.C. Mbanya and H. Akhtar Body mass index, waist circumference, Hip circumference, waist- hip-ratio and waist-height-ratio: which is the better discriminator of prevalent screen-detected diabetes in a Cameroonian population? Diabetes Research and Clinical Practice. Published Online: January 23, 2015

Background

A survey was conducted in four ecological zones, purposefully chosen to be representative of the Cameroon population. The study sites were the health districts of Biyem-Assi (Yaoundé), Cité des Palmiers (Douala), Bamenda and Garoua, with a target sample size of 2500 subjects per sites.

Read more about the survey.

Sub-Projects

  1. Obesity phenotypes in urban and rural Cameroonians: A cross-sectional study.
  2. The time trend in the attributable risk of dysglycemia due to obesity/adiposity in urban and rural Cameroon

Financing

  • University of Oslo
  • World Diabetes Foundation (Grant WDF 02-016 and WDF 05-117)

Cooperation

Health of Population in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, the University of Yaoundé- 1, Cameroon

Start - finish

2011 - 2015

Tags: Global South
Published Feb. 13, 2015 3:37 PM - Last modified June 7, 2016 11:46 AM