The Andean Latin-American burden of diabetes attributable to high body mass index: A comparative risk assessment

Diabetes Res Clin Pract. 2020 Feb:160:107978. doi: 10.1016/j.diabres.2019.107978. Epub 2019 Dec 12.

Abstract

Background: Body mass index (BMI) has increased in Latin-America, but the implications for the diabetes burden have not been quantified. We estimated the proportion and absolute number of diabetes cases attributable to high BMI in Bolivia, Ecuador and Peru (Andean Latin-America), with estimation of region-level indicators in Peru.

Methods: We estimated the population attributable fraction (PAF) of BMI on diabetes (regardless of type 1 or 2) from 1980 to 2014, including the number of cases attributable to overweight (BMI 25-<30), class I (30-<35), class II (BMI 35-<40) and class III (BMI ≥ 40) obesity. We used age- and sex-specific prevalence estimates of diabetes and BMI categories (NCD-RisC and Peru's DHS survey) combined with relative risks from population-based cohorts in Peru.

Findings: Across Andean Latin-America in 2014, there were 1,258,313 diabetes cases attributable to high BMI: 209,855 in Bolivia, 367,440 in Ecuador and 681,018 in Peru. Between 1980 and 2010, the absolute proportion of diabetes cases attributable to class I obesity increased the most (from 12.9% to 27.2%) across the region. The second greatest increase was for class II obesity (from 3.6% to 16.5%). There was heterogeneity in the fraction of diabetes cases attributable to high BMI by region in Peru, as coastal regions had the largest fractions, and so did high-income regions.

Interpretation: Over one million diabetes cases are attributable to high BMI in Andean Latin-America. Public health efforts should focus on implementing population-based interventions to reduce high BMI and to develop focused interventions targeted at those at highest risk of diabetes.

MeSH terms

  • Adult
  • Body Mass Index*
  • Diabetes Mellitus / epidemiology*
  • Diabetes Mellitus / pathology
  • Female
  • Humans
  • Latin America
  • Male
  • Middle Aged
  • Obesity / complications*
  • Prevalence
  • Risk Assessment