title: The Swedish cost burden of overweight and obesity--evaluated with the PAR approach and a statistical modelling approach.
abstract: The rising trend in the prevalence of obesity, which is a major risk factor for a number of diseases notably diabetes and cardiovascular diseases, has become a major public health concern in many countries during the past decades. This development has also led to an increased cost burden on the public health care delivery system that has been documented in many studies. The standard approach taken for estimating the cost burden attributed to a risk factor is the so-called PAR (Population Attributed Risk) approach; an approach that is based on cross-sectional data. In this paper, the methods and findings of two studies that have documented the cost burden attributed to overweight and obesity on the public health care delivery system in Sweden are contrasted: one using the PAR approach and one using a statistical modeling approach based on longitudinal hospital care data for 15 years for 33 000 individuals. The main motivation for this paper is that the study using the PAR approach is only available in the Swedish language. The PAR approach estimated a cost burden of 3 600 million SEK (390 million Euro), equavalent to 1.9% of national health care expenditure, out of which 1 800 million SEK (190 million Euro) were spent on hospital care. The statistical modeling approach estimated the corresponding cost burden for hospital care at 2 100 million SEK (230 million Euro). The statistical modeling approach presents no estimates of the total cost burden attributed to overweight and obesity.
authors.affiliation: IHE (The Swedish Institute for Health Economics), Lund, Sweden.
authors.forename: Knut
authors.initials: K
authors.lastname: Odegaard
authors.forename: Sixten
authors.initials: S
authors.lastname: Borg
authors.forename: Ulf
authors.initials: U
authors.lastname: Persson
authors.forename: Marianne
authors.initials: M
authors.lastname: Svensson
mesh_terms: D000328:Adult; D002318:Cardiovascular Diseases / Q000191:economics* / Q000453:epidemiology / Q000209:etiology; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000191:economics* / Q000453:epidemiology / Q000209:etiology; D017048:Health Care Costs / Q000706:statistics & numerical data*; D017721:Hospital Costs / Q000706:statistics & numerical data*; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D009765:Obesity / Q000150:complications / Q000191:economics* / Q000453:epidemiology; D050177:Overweight / Q000150:complications / Q000191:economics* / Q000453:epidemiology; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D013548:Sweden / Q000453:epidemiology