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The starting point of the Finbalt Health Monitor project was the contrast in health conditions around the Baltic Sea in the early 1990s – life expectancy was increasing in Finland and decreasing in the Baltic countries. Despite many cultural ties and geographical closeness of Finland, Estonia, Latvia and Lithuania, the countries had gone through different stages of economic, social and public health development since the mid-20th century.
As social changes are known to influence the health and lifestyle of individuals, the Baltic Sea region was thought to provide a unique opportunity for the study of health behaviour in the context of social change in the beginning of 1990s. The project focused from the start on behavioral risk factors of non-communicable diseases, as they are the major causes of mortality in all four countries, as in the whole Europe.
The origins of the Finbalt monitoring are in the Finnish North Karelia project, a demonstration program for prevention of cardiovascular diseases that started in 1978. The researchers of the North Karelia project evaluated the effects of the program with repeated surveys on health behaviour and risk factors. Gradually the surveys grew into a national monitoring system, the AVTK survey, which formed eventually the basis for the Finbalt Health Monitor.
The health behaviour monitoring system was launched in Estonia in 1990 in collaboration with the National Public Health Institute of Finland, KTL (nowadays National Institute for Health and Welfare, THL). The first monitoring round coincided with a Finnish-Estonian smoking cessation program. The health monitoring system was extended to Lithuania in 1994 and Latvia joined the project in 1997. The survey was carried out simultaneously in all Baltic countries and Finland for the first time in spring 1998.
The Finbalt Health Monitor is a unique project, as there are very no other projects that have succeeded in collecting comparative data on working age population from four countries and using nationally representative samples over a ten-year period. Results of the national surveys have provoked great interest both among experts and ordinary citizens. The systems have been widely used by health administrators, health promoters, policy planners and researchers.
The data is suitable for comparing time trends and patterns of health behaviour. The data are primarily appropriate for estimating the prevalence of common health behaviours in the general population. The unavoidable bias caused by cultural factors can be leveled off if, instead of national averages, patterns of variation in selected habits are compared. The data continues to be available for the uses of national and international actors.