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This study aimed to evaluate mathematical algorithms that could quantify the burden of disease in Hungary and to determine the extent of savings in sick-allowance which could be achieved if inactive lifestyles could be reduced.

Data was collected from the Hungarian National Health Insurance Fund Administration, the Central Administration for the National Pension Insurance, the Hungarian Central Statistical Office, and a national large-sample survey (n = 1158). Direct costs and indirect burden of various diseases were analysed using economic and labour-related assumptions. The distribution of medical cost coverage between the state, households and employees is described, taking Hungarian commodity- and labour market specifics into consideration. We used the method of population Attributable Risk to quantify the possible savings in sick-allowance due to a reduction in inactivity.