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Background: Objective was to measure preventable premature loss of life in countries from same geographical area but with considerable differences in social and economic development. By comparing inter-country differences and similarities in premature mortality, acceleration of health-in-all-policies is enhanced., Methods: Preventable premature deaths were described by Potential Years of Life Lost (PYLL). Data consisted of death registers for 2003, 2009 and 2013. PYLL-rates were age-standardized by using standard OECD population from 1980 and expressed as sum of lost life years per 100 000 citizens., Results: In Northern Dimension area, PYLL-rates had declined from 2003 to 2013. In 2013, worst PYLL-rate was in Belarus 9851 and best in Sweden 2511. PYLL-rates among men were twice as high as among women. Most premature losses (1023) were due to external causes. Malignant neoplasms came second (921) and vascular diseases third (816). Alcohol was also an important cause (270) and country differences were over 10-fold., Conclusions: In ND-area, the overall development of public health has been good during 2003-13. Nevertheless, for all countries foci for public health improvement and learning from each other could be identified. Examining the health of populations in countries from relatively similar geographical area with different social history and cultures can provide them with evidence-based tools for health-in-all-policies to advocate health promotion and disease prevention. Gender differences due to preventable premature deaths are striking. The higher the national PYLL-rate, the bigger the PYLL-rate difference between men and women and the loss of human capital., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: Despite the relatively low recorded alcohol consumption level, the Baltic countries (Estonia, Latvia and Lithuania) and neighbouring Finland suffer from similar harmful consequences related to the use of alcoholic beverages, including socio-economic inequalities in alcohol related mortality. Comparative evidence is needed to understand harmful drinking patterns and to implement preventive alcohol policies also in the Baltic countries. This study compared heavy and binge drinking by sex, age, education, urbanisation and marital status in the Baltic countries and Finland. The data were nationally representative postal surveys conducted in Estonia (n = 6271), Latvia (n = 6106), Lithuania (n = 7966) and Finland (n = 15764) during 1994-2002. The criterion for heavy drinking was at least 15 portions weekly among men, and at least five among women, and for binge drinking at least six portions per one occasion. Heavy drinking was more common among younger participants in all countries, and in Latvia among the less-educated. Among Finnish men, and among women from all countries except Latvia, the better-educated were more often heavy drinkers. In Latvia and Finland, urban men, and in all countries, urban women, were more often heavy drinkers. Heavy drinking was more common among non-married Lithuanian and Finnish men, and Finnish women. Binge drinking was more common among less-educated Estonian and Latvian men, and among younger and less-educated women in all countries. Our results support the continued power of traditional drinking habits in the North Eastern part of Europe. In the future the target groups for prevention of excessive drinking should also include young and less-educated women in all four countries studied.

Objective: To examine educational differences among people who consume foods containing fat in Finland and the Baltic countries., Design: Data were collected from cross-sectional postal Finbalt Health Monitor surveys that were carried out in 1998, 2000 and 2002., Setting: Estonia, Finland, Latvia and Lithuania., Subjects: For each survey, nationally representative random samples of adults aged 20-64 years were drawn from population registers (Estonia, n = 3656; Finland, n = 9354, Latvia, n = 6015; Lithuania, n = 5944)., Results: Differences were revealed between the countries in the consumption of foods that contain fat. Finnish people consumed butter on bread, high-fat milk, meat and meat products, and vegetable oil for cooking less frequently than people in the Baltic countries. Cheese was most popular in Finland. Educational differences in fat-related food habits were examined by applying logistic regression analysis. A positive association was found between level of education and consumption of vegetable oil used in food preparation. Drinking high-fat milk was associated with low education in all countries. People with higher education tended to consume cheese more often. Educational patterns in the consumption of butter on bread and in the consumption of meat and meat products differed between countries., Conclusions: The consumption of foods containing fat was related to educational levels in all four countries. The diet of better-educated people was closer to recommendations for the consumption of saturated and unsaturated fats than the diet of people with lower level of education. The educational gradient was more consistent in Finland than in the Baltic countries. These existing educational differences in sources of fat consumed should be taken into account in the development of national cardiovascular disease prevention programmes.

Background: Socioeconomic inequalities in health in the Baltic countries are possibly increasing due to concomitant pressures. This study compared time trends from 1994 to 2004 in the pattern and magnitude of educational inequalities in health in Estonia, Latvia, Lithuania and Finland., Methods: The data were gathered from cross-sectional postal surveys of the Finbalt project, conducted every second year since 1994 on adult populations (aged 20-64 years) in Estonia (n=9049), Latvia (n=7685), Lithuania (n=11,634) and Finland (n=18,821). Three self-reported health indicators were used: (i) less than good perceived health, (ii) diagnosed diseases, and (iii) symptoms., Results: The existing educational inequalities in health in three Baltic countries and Finland remained generally stable over time from 1994 to 2004. Also, the overall prevalence of all three health indicators was generally stable, but in the Baltic countries improvement in perceived health was mainly found among the better-educated men and women. Diagnosed diseases increased in the Baltic countries, except Lithuania, where diseases decreased among the better-educated women. Symptoms increased among the better-educated Estonian and Finnish women., Conclusions: The period from 1994 to 2004 of relative stabilization since the worst conditions of the social transition has not been followed by notable changes in self-reported health, and this appears to be the situation across all educational groups in the Baltic countries. While health inequalities did not markedly change, substantial inequalities do remain, and there were indications of favourable developments mainly among the better-educated respondents. The factors contributing towards increasing health inequalities may only be visible in the future.

Background: Public health problems in the Baltic countries are typical of Eastern European transition economies. A common assumption is that the economic transition has been particularly difficult for previously disadvantaged groups, and comparative research on the health differences between sociodemographic groups in the Baltic countries is therefore needed. This study compared associations of health with gender, age, education, level of urbanization and marital status in three Baltic countries and Finland., Methods: The data were gathered from cross-sectional postal surveys conducted in 1994, 1996, 1998 and 2000 on adult populations (aged 20-64 years) in Estonia (n = 5052), Latvia (n = 4290), Lithuania (n = 7945) and Finland (n = 12796). Three self-reported health indicators were used: (i) perceived health, (ii) diagnosed diseases and (iii) symptoms., Results: The prevalence of less-than-good perceived health (average, rather poor or poor) was higher in the Baltic countries (men 66-56%, women 68-64%) than in Finland (men 35%, women 31%). The odds ratios (with 95% confidence intervals) of less-than-good perceived health among the low educated compared to the highly educated in Estonia, Latvia, Lithuania and Finland were 2.03 (1.49-2.77), 2.00 (1.45-2.76), 2.27 (1.78-2.89) and 1.89 (1.61-2.20) among men, and 3.32 (2.43-4.55), 2.77 (2.04-3.77), 2.07 (1.61-2.66) and 1.89 (1.63-2.20) among women, respectively. Diseases and symptoms were also more common among the lower educated men and women in all four countries. However, urbanization and marital status were not consistently related to the health indicators., Conclusions: The Baltic countries share a similar sociodemographic patterning of health with most European countries, i.e. the lower educated have worse health. The methodological considerations of this study point out, however, that further research is needed to support public health policies aimed at the most vulnerable population groups.

Aims: To investigate time trends in the smoking prevalence and the sociodemographic and psychosocial background of smoking in the Baltic countries in comparison with Finland during 1994-2002., Methods: Differences in daily smoking according to age, education, urbanization, and psychological distress in the Baltic countries and Finland were studied using postal surveys in 1994, 1996, 1998, 2000, and 2002 among adults (20-64 years old) in Estonia (n = 6,271), Latvia (n = 6,106), Lithuania (n = 9,824), and Finland (n = 15,764)., Results: In 1994, 1996, 1998, 2000, and 2002 the prevalence of smoking in Estonia, Latvia, Lithuania, and Finland was 47%, 54%, 46%, and 29% among men, and 21%, 19%, 11%, and 19% among women, respectively. Smoking increased among Lithuanian women from 6% in 1994 to 13% in 2002, but decreased among Estonian men and women. Smoking was generally more common among younger individuals, the less educated, and people with distress in all four countries. The odds ratios for smoking for those with low education compared with those with high education were 2.18 (1.69-2.81), 3.32 (2.55-4.31), 2.20 (1.79-2.70) and 2.80 (2.40-3.27) in men, and 1.90 (1.42-2.52). 3.09 (2.28-4.18), 0.86 (0.59-1.26), and 3.00 (2.53-3.55) in women, in Estonia, Latvia, Lithuania, and Finland, respectively. There were indications of increasing educational differences in Latvian men. Smoking was less common among rural women in all countries except Estonia., Conclusions: Estonia, Latvia, and Finland show characteristics of the "mature" phase of a smoking epidemic, and smoking may not increase in these countries. In Lithuanian women smoking may increase. Smoking may be increasingly unequally distributed in the future in all the studied countries.

Background: The aim of the present study is to examine the associations of the selected health behaviours (daily smoking, frequent strong alcohol use, consumption of fresh vegetables less than 3 days a week and leisure time physical activity less than two/three times a week) to the self-assessed health after adjustment to the age and education in Estonia, Finland, Latvia and Lithuania., Methods: Data from cross-sectional surveys carried out in all the above-mentioned countries were used. The methodology and questionnaires of the surveys were standardized between the participating countries within the Finbalt Health Monitor System. Logistic regression was used to assess the effect of self-perceived health status on prevalence of health behaviours., Results: In Finland both women and men rated their health better than both genders in all the Baltic countries. In Finland self-assessment of health is significantly associated with most health behaviours, but in the Baltic counties the associations are weak or unstable., Conclusion: The results suggest that in Finland as in many other stable countries self-assessed health status was related to health behaviours and can be used as an indicator of health behaviours. In the Baltic countries, factors other than health behaviours may be more relevant to the self assessment of health status.

Background: The Finbalt Health Monitor is a collaborative system for monitoring the health-related behaviour, practices and lifestyles in Estonia, Finland, Latvia and Lithuania. This system is based on nationally representative samples and self-administered mailed questionnaires. In comparing the results of national surveys, the awareness of the direction and socioeconomic patterning of the response bias is essential., Methods: The data were gathered from the cross-sectional surveys conducted in 1998 from Estonia (n = 1362), Finland (n = 3504), Latvia (n = 2322) and Lithuania (n = 1874). An analysis was made of the prevalence of late response, completeness of information obtained from respondents and the magnitude of response bias on the prevalence estimates of health behaviour indicators., Results: The response rates were comparatively high: 68% in Estonia, 70% in Finland, 77% in Latvia and 62% in Lithuania. Late response was weakly related to age, education or place of residence. The total proportion of missing information was below 10% and the sociodemographic patterning for this missing information was similar in all countries. Thus, older and less-educated respondents had more missing information on their questionnaires. Response bias of the prevalence estimates was minimal when it was calculated by using information obtained from late respondents., Conclusions: The level of nonresponse and missing information was comparable in different countries, not information on health behaviour. Therefore special efforts are needed to design a questionnaire form which appears equally relevant to all respondent groups. The follow-up mailings were an effective way to increase the total response rate, but it was unlikely that they provided an effective way to reach the 'hard core' nonrespondents.