title: [Modelling of the costs of productivity losses due to smoking in Germany for the year 2005].
abstract: OBJECTIVE
  The aim of this study was to estimate disease-related productivity costs attributable to smoking in the year 2005 in Germany.
  
  
  METHODS
  The calculation was based on the updated relative smoking-related disease risk found in the US Cancer Prevention Study II combined with data on smoking prevalence for Germany. With this, smoking-attributable cases resulting in premature mortality, invalidity, and temporal disability to work could be estimated. Neoplasms, diseases of the circulatory and the respiratory systems as well as health problems in children younger than one year were considered in the analysis. The human capital approach was applied to calculate years of potential work loss and productivity costs as a result of smoking. Various sensitivity analyses were conducted to test for robustness of the underlying model.
  
  
  RESULTS
  Based on the assumptions within the model, 107,389 deaths, 14,112 invalidity cases, and 1.19 million cases of temporary disability to work were found to be due to smoking in 2005 in Germany, respectively. As a result, productivity costs of 9.6 billion were caused by smoking.
  
  
  CONCLUSIONS
  The model showed that smoking has a high financial effect. Even so, further analyses are necessary to estimate an overall impact of smoking on the German society.
authors: Forschungsstelle für Gesundheitsökonomie und Gesundheitssystemforschung, Leibniz Universität Hannover, Hannover. ap@ivbl.uni-hannover.de
authors: A
authors: A
authors: Prenzler
authors: T
authors: T
authors: Mittendorf
authors: J M
authors: JM
authors: von der Schulenburg
mesh_terms: D000041:Absenteeism; D000206:Actuarial Analysis; D000328:Adult; D000368:Aged; D002423:Cause of Death; D003365:Costs and Cost Analysis; D003430:Cross-Sectional Studies; D004526:Efficiency; D005260:Female; D005858:Germany; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009313:National Health Programs / Q000191:economics*; D018570:Risk Assessment / Q000706:statistics & numerical data; D012907:Smoking / Q000009:adverse effects* / Q000191:economics* / Q000401:mortality