Apples and oranges: a comparison of costing methods for obesity

Obesity has escalated to epidemic proportions over the past 30 years resulting in increased disease burden and healthcare costs. The aim of this paper was to analyse different costing methods for obesity. Several databases have been searched to identify eligible literature estimating obesity cost. These were categorized into databases, patient-attributable fraction (PAF) and modelling studies. Studies from the United States were used to explore effects of study designs on cost outcomes. Our results show that cost outcomes are largely affected by underlying study designs, such as population size, age, cost categories (medical expenditure vs. total costs), length of the data collection and body mass index cut-offs. Three study types are likely to have an impact on reported costs, with modelling studies providing the most conservative estimates. Database studies can help to increase the overall awareness of the economic burden of obesity. PAF studies can make the obesity disease more tangible by drawing connections to diseases. Decision makers need to be aware of the different purposes and weaknesses of the studies when interpreting cost outcomes. Further research is needed to refine the existing methods and provide high-quality data accounting for the complexity of the disease.

Modelling obesity trends and related diseases in Eastern Europe

Obesity has increased at an alarming rate across the world and, in turn, rates of non-communicable diseases have escalated. In Eastern Europe, this epidemic has probably occurred at a later stage than the West due to the economic transition following the demise of communism. Knowing how these trends will change is important. We used a micro-simulation model to project obesity trends and related incidence of coronary heart disease and stroke, cancer and type 2 diabetes 20 and 40 years into the future. Where nationally representative data were available, obesity levels were shown to increase with most prominent increases seen amongst men in Latvia and Estonia, and amongst women in Croatia and Latvia. The exception was Lithuania where a decrease in overweight and obesity was observed in both men and women. We showed that interventions effective in reducing obesity would have a significant impact upon the number of new cases of each disease. It is necessary to improve surveillance of obesity and disease incidence as well as implement policies that are effective in reducing body fat.