Prevalence and determinants of type 2 diabetes among lean African migrants and non-migrants: the RODAM study

J Glob Health. 2019 Dec;9(2):020426. doi: 10.7189/jogh.09.020426.

Abstract

Background: Exposure to adverse conditions earlier in life-course can predispose to type 2 diabetes in adulthood, irrespective of body mass index (BMI). However, the burden of type 2 diabetes in lean Africans is not well understood despite higher exposure to adverse early life conditions. Mirroring ongoing epidemiological transition, we assessed the burden and determinants of type 2 diabetes in a homogenous group of lean Ghanaians residing in rural and urban Ghana, and as migrants in Europe.

Methods: Baseline data from 2179 RODAM study participants with BMI<25kg/m2 (25-70 years) were analyzed. Prevalence and determinants of type 2 diabetes were estimated using logistic regression analysis. Adjustments were made for socio-demographic and lifestyle factors, use of anti-diabetic medication and optimal blood glucose control.

Results: Prevalence of type 2 diabetes in rural, urban and migrant lean participants were 3.5%, 8.9% and 7.5% respectively, representing 55.4%, 35.6%, 13.2% of all participants with type 2 diabetes. Compared with lean rural participants, the odds of type 2 diabetes were higher in lean urban participants (adjusted OR = 8.81, 95% CI = 6.56-11.06), followed by migrants (5.27, 95% CI = 3.51-6.91). Irrespective of site, determinants of type 2 diabetes in lean participants include; presence of hypertension, physical inactivity, hypercholesterolemia and age (>45 years).

Conclusions: Our study shows a high prevalence of type 2 diabetes among lean African populations in different geographical settings. Future studies are needed in-order to examine how contextual differences are related to the pathophysiology of type 2 diabetes in lean individuals.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Black People / statistics & numerical data*
  • Body Mass Index
  • Diabetes Mellitus, Type 2 / ethnology*
  • Europe / epidemiology
  • Female
  • Ghana / epidemiology
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Thinness / ethnology*
  • Transients and Migrants / statistics & numerical data*