The sociodemographic patterning of drinking and binge drinking in Estonia, Latvia, Lithuania and Finland, 1994-2002.

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.

Gender differences in the consumption of meat, fruit and vegetables are similar in Finland and the Baltic countries.

BACKGROUND: Women's diets are healthier than men's. Finnish women eat more fruits and vegetables but less meat than men. Gender differences may be larger in the Baltic countries, which represent Eastern European transition societies than in Finland, a society characterized by the Scandinavian welfare ideology and a high degree of gender equality. METHODS: The data are based on questionnaires to random samples of adults in Finland, Estonia, Latvia and Lithuania. The data provide a way of addressing gender differences at the turn of the century in the economically and culturally different countries. The purpose is to explore whether the consumption of foods classified as masculine or feminine-meat, fruits and vegetables-follow a similar gender pattern in Finland and the Baltic countries. RESULTS: Men ate meat more often while women ate fruits and vegetables. A high educational level was associated with frequent consumption of fruits and vegetables. Educational differences in the consumption of meat were few and inconsistent. The consumption of fruits and vegetables was more common in urban areas except in Finland. Gender differences were similar in all countries throughout age and educational groups and in rural and urban areas. CONCLUSION: The consistent association of gender and food and the similarity of gender patterning in population subgroups point to the stability of masculine versus feminine food habits. The similarity suggests that food habits contribute equally to the gender gap in health in the Baltic countries as they do in Finland.

The sociodemographic patterning of health in Estonia, Latvia, Lithuania and Finland.

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.

Trends in the magnitude of educational inequalities in health in Estonia, Latvia, Lithuania and Finland during 1994-2004.

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.

25-year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey.

When estimating population level changes in health indicators, the declining response rate, especially if also the characteristics of non-respondents are changing may bias the outcome. There is evidence that survey response rates are declining in many countries. It is also known that respondents and non-respondents differ in their socio-economic and demographic status as well as in their health and health behaviours. There is no information about the changes in the differences between respondents and non-respondents over time. Our purpose was to investigate the changes over time in the differences between respondents and non-respondents in respect to their sex, age, marital status and educational level. The data from the Finnish Adult Health Behaviour Survey (1978-2002) was used. The response rate declined over the past 25 years for both men and women in all age groups. The decline was faster among men than women, and also faster in younger age groups than older age groups. There is a marked difference in the response rate between married and non-married persons but it did not change over time. Also the response rate between different educational levels differed for both men and women, and this difference increased over the years. The declining response rate and at the same time occurring change in the non-respondent characteristics will decrease the representativeness of the results, limit the comparability of the results with other surveys, increase the bias of the trend estimates and limit the comparability of the results between population groups.

Determinants of daily smoking in Estonia, Latvia, Lithuania, and Finland in 1994-2002.

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.

Association between health behaviour and self-reported health in Estonia, Finland, Latvia and Lithuania.

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.

Sociodemographic and health behaviour factors associated with obesity in adult populations in Estonia, Finland and Lithuania.

BACKGROUND: The aim of this study was to analyse the pattern of sociodemographic variations in the prevalence of obesity in Estonia, Finland and Lithuania. In addition, the association between obesity and selected health behaviours was examined. METHODS: Cross-sectional surveys were conducted among representative national samples of adult populations in 1994, 1996 and 1998. The number of participants aged 20-64 was 3759 in Estonia, 9488 in Finland and 5635 in Lithuania. The data were obtained from mailed questionnaires (covering sociodemographic characteristics, health behaviour indicators, and self-reported height and weight). Obesity was defined as BMI > or = 30 kg/m2. RESULTS: The prevalence of obesity among men and women was 10% and 15% in Estonia, 11% and 10% in Finland, and 10% and 18% in Lithuania respectively. The prevalence of obesity increased only among Estonian men. Obesity was more prevalent among those aged over 50 in all three countries. It was also more prevalent among the less educated women in all countries and among the less educated men in Finland. Obesity was less prevalent among daily smokers among Estonian men and women and Lithuanian men. Physically inactive Estonian women and Finnish men and women were more likely to be obese. CONCLUSIONS: A significant association was found between low educational level and obesity in women in all the countries, but this association was found for men only in Finland. In Finland obesity was also more consistently associated with indicators of unhealthy behaviour than in Estonia and Lithuania. Thus, even though the social gradient of obesity was broadly similar in all the countries studied, differences emerged with regard to the behavioural correlates of obesity.

Health behaviour in Estonia, Finland and Lithuania 1994-1998. Standardized comparison.

BACKGROUND: The Finbalt Health Monitor project collects standardized information on health and health-related behavioural activity and related trends in Finland and those Baltic countries that have major public health problems with noncommunicable diseases related to lifestyle and behavioural factors. The aims of this study were to compare patterns of and trends in selected health behaviours and their socioeconomic associations in Estonia, Finland and Lithuania in the period 1994-1998. METHODS: Standardized questionnaires were posted to nationally representative samples in 1994, 1996 and 1998. Response rates varied between 62% and 83%. The total number of respondents was 3808 in Estonia, 9608 in Finland and 5716 in Lithuania. Prevalence of smoking, consumption of strong alcoholic beverages, use of vegetable oil in food preparation and leisure-time physical exercise were analysed in this study. RESULTS: No major changes in daily smoking, consumption of strong alcoholic beverages and leisure-time physical exercise emerged. However, the use of vegetable oil increased rapidly in Estonia and particularly in Lithuania (from 41% to 81%). In 1994 the prevalence of daily smoking was 53%, 28% and 44% among men and 24%, 18% and 6% among women in Estonia, Finland and Lithuania, respectively. In Lithuania the prevalence of smoking among women was notably low but increased (from 6% to 13%). The prevalence of strong alcoholic beverage consumption was similar in all countries. Leisure-time physical exercise was most common in Finland. The socioeconomic differences remained similar in all countries, unhealthy behaviours were typical among the less educated groups and men, especially in the age groups 34-49 years. CONCLUSIONS: The sociodemographic pattern of risk-related lifestyles appears to be rather similar and stable in Estonia, Finland and Lithuania. However, from the view point of possible public health implications the rapid changes in the prevalences of some behaviours are notable.

Late response and item nonresponse in the Finbalt Health Monitor survey.

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.