Consumption of healthy foods and associated socio-demographic factors among Russian, Somali and Kurdish immigrants in Finland.

AIMS: We evaluated the consumption of healthy foods among Russian, Somali and Kurdish immigrants in Finland, and examined the relationship between socio-demographic factors and food consumption. METHODS: We used data from the Migrant Health and Wellbeing Study (Maamu), a population-based health interview and examination survey in six different municipalities in Finland between 2010 and 2012. Altogether, 635 men and 737 women, aged 18-64 years, of Russian ( n = 527), Somali ( n = 337) and Kurdish ( n = 508) origin were included. The important socio-demographic determinants of healthy food consumption - sex, age, education, place of residence and household size - were assessed by logistic regression. RESULTS: Based on the consumption frequencies of recommended healthy foods - fruits, berries, vegetables, fish and rye bread - immigrants of Russian origin had higher consumption of healthy foods than their peers of Kurdish and Somali origin. Low consumption of fresh vegetables, fruits and berries was found among Somali immigrants. Sex and age were the most important determinants of healthy food consumption, as women and older age groups had diets closer to the national nutrition recommendations. High educational level was also positively associated with healthy food consumption. CONCLUSIONS: We found ethnic differences in the consumption of healthy foods among the immigrant groups of Russian, Somali and Kurdish origin in Finland. Socio-demographic factors, especially age, sex and education, seem to also play an important role in immigrants' food consumption. Further studies examining the consumption of fruits, berries and fresh vegetables among Somali immigrants in Finland are needed.

From margarine to butter: predictors of changing bread spread in an 11-year population follow-up.

OBJECTIVE: Finland is known for a sharp decrease in the intake of saturated fat and cardiovascular mortality. Since 2000, however, the consumption of butter-containing spreads - an important source of saturated fats - has increased. We examined social and health-related predictors of the increase among Finnish men and women. DESIGN: An 11-year population follow-up. SETTING: A representative random sample of adult Finns, invited to a health survey in 2000. SUBJECTS: Altogether 5414 persons aged 30-64 years at baseline in 2000 were re-invited in 2011. Of men 1529 (59 %) and of women 1853 (66 %) answered the questions on bread spreads at both time points. Respondents reported the use of bread spreads by choosing one of the following alternatives: no fat, soft margarine, butter-vegetable oil mixture and butter, which were later categorized into margarine/no spread and butter/butter-vegetable oil mixture (= butter). The predictors included gender, age, marital status, education, employment status, place of residence, health behaviours, BMI and health. Multinomial regression models were fitted. RESULTS: Of the 2582 baseline margarine/no spread users, 24.6% shifted to butter. Only a few of the baseline sociodemographic or health-related determinants predicted the change. Finnish women were more likely to change to butter than men. Living with a spouse predicted the change among men. CONCLUSIONS: The change from margarine to butter between 2000 and 2011 seemed not to be a matter of compliance with official nutrition recommendations. Further longitudinal studies on social, behavioural and motivational predictors of dietary changes are needed.

Socio-demographic and behavioral variation in barriers to leisure-time physical activity.

INTRODUCTION: We examined the socio-demographic and behavioral determinants of perceived barriers to leisure-time physical activity (LTPA) in a population-based sample of working-aged adults. METHODS: Data comprised the National FINRISK 2002 Study, a population-based health examination study. Analyses were restricted to those aged 25-64 years and who perceived that their amount of LTPA did not reach sufficient levels. They reported barriers to LTPA, defined as a lack of time, motivation and lack of companionship to be active with, as well as high expenses. Age, education, household income, employment status, family type, physical activity, smoking and body mass index (BMI) were included as explanatory variables. RESULTS: Lack of time was the most frequent barrier. Each barrier was explained by a different set of factors that also varied between genders. The strongest and most systematic associations with the barriers were found for age, employment status and family type. Lack of time was less often reported as a barrier among the unemployed, singles without children and older people. Lacking motivation as a barrier was most common among singles without children. High expenses as a barrier was more often reported by the unemployed, and less often reported in the highest income group. CONCLUSIONS: When considering actions to promote LTPA, there is not one single solution, because the perceived barriers vary by population subgroups.

The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults - a cross-sectional population-based study using geographical information systems.

BACKGROUND: The current political agenda aims to promote active environments and physical activity while commuting to work, but research on it has provided mixed results. This study examines whether the proximity of green space and people's residence in different travel-related urban zones contributes to commuting physical activity. METHODS: Population-based cross-sectional health examination survey, Health 2011 study, and geographical information system (GIS) data were utilized. The GIS data on green space and travel-related urban zones were linked to the individuals of the Health 2011 study, based on their home geocoordinates. Commuting physical activity was self-reported. Logistic regression models were applied, and age, gender, education, leisure-time and occupational physical activity were adjusted. Analyses were limited to those of working age, living in the core-urban areas of Finland and having completed information on commuting physical activity (n = 2 098). RESULTS: Home location in a pedestrian zone of a main centre (odds ratio = 1.63; 95 % confidence interval = 1.06-2.51) or a pedestrian zone of a sub-centre (2.03; 1.09-3.80) and higher proportion of cycling and pedestrian networks (3.28; 1.71-6.31) contributed to higher levels of commuting physical activity. The contribution remained after adjusting for all the environmental attributes and individuals. Based on interaction analyses, women living in a public transport zone were almost two times more likely to be physically active while commuting compared to men. A high proportion of recreational green space contributed negatively to the levels of commuting physical activity (0.73; 0.57-0.94) after adjusting for several background factors. Based on interaction analyses, individuals aged from 44 to 54 years and living in sub-centres, men living in pedestrian zones of sub-centres, and those individuals who are physically inactive during leisure-time were less likely to be physically active while commuting. CONCLUSIONS: Good pedestrian and cycling infrastructure may play an important role in promoting commuting physical activity among the employed population, regardless of educational background, leisure-time and occupational physical activity. Close proximity to green space and a high proportion of green space near the home may not be sufficient to initiate commuting physical activity in Finland, where homes surrounded by green areas are often situated in car-oriented zones far from work places.

The effect of tobacco control policy on smoking cessation in relation to gender, age and education in Lithuania, 1994-2010.

BACKGROUND: This study aimed to evaluate the association between tobacco control policies and trends in smoking cessation according to gender, age and educational level in Lithuania in 1994-2010. METHODS: The data were obtained from nine cross-sectional postal surveys conducted biennially within the framework of Finbalt Health Monitor project during 1994-2010. Each survey was based on a nationally representative random sample drawn from the National population register. The sample consisted of 3000 citizens aged 20-64 in 1994-2008 surveys and 4000 in the 2010 survey. In total, 17161 individuals participated in all surveys. The development of tobacco control policy in Lithuania was assessed using the Tobacco Control Scale (TCS). The association of the TCS scores with short-term and long-term quitting according to gender, age and education was examined using logistic regression analysis with control for secular trends. RESULTS: Over the last two decades, a large improvement in the development of tobacco control policy has been achieved in Lithuania. At the same time, this progress was associated with the increase in smoking cessation. A significant increase in both short-term and long-term quit ratios was found among people aged 20-44. An increase by 10 points on the TCS was associated with 17% increase in the odds of short-term quitting and with 15% increase in the odds of long-term quitting. The association between tobacco control policies and long-term quitting was stronger among younger than older people. No differential effect of tobacco control policies on smoking cessation was found in relation to gender and educational level. CONCLUSIONS: The improvement in Lithuanian tobacco control policies was associated with an increase in smoking cessation in long-term perspective. These policies have not only benefitted highly educated groups, but lower educated groups as well. Nonetheless, further development of comprehensive tobacco control policies is needed in order to decrease social inequalities in smoking cessation.

Vegetable and fruit consumption, education and plasma vitamin C concentration in Russian and Finnish Karelia, 1992-2002.

OBJECTIVE: To examine (i) whether the consumption of fresh vegetables, fruit and berries is associated with plasma vitamin C concentration and (ii) educational differences in plasma vitamin C concentration in two neighbouring areas in Russia and Finland. DESIGN: Cross-sectional risk factor surveys in 1992, 1997 and 2002. Logistic regression analysis was applied to examine the associations of consumption of selected foods and education with plasma vitamin C concentration. SETTING: District of Pitkäranta in the Republic of Karelia, Russia and North Karelia, Finland. SUBJECTS: Adults aged 25-64 years: 579 men and 612 women in Pitkäranta; 974 men and 642 women in North Karelia. RESULTS: The plasma vitamin C concentration was strikingly low in Pitkäranta, Russia across the study years. During the 10 years of monitoring, the mean plasma vitamin C concentration among men ranged from 2·5 to 8·0 µmol/l in Pitkäranta, Russia and from 27·1 to 53·9 µmol/l in North Karelia, Finland. In both areas, daily consumption of fruit was most strongly associated with plasma vitamin C, while the association of fresh vegetable consumption with plasma vitamin C was less consistent. Consumption of berries was less important in explaining plasma vitamin C. In Pitkäranta, the plasma vitamin C concentration was lower among respondents in the lowest education group. CONCLUSIONS: Differences in the consumption of fresh vegetables and fruit resulted in notable differences in vitamin C status between Pitkäranta and North Karelia in spring. In comparative settings, knowledge of local food culture and validation pilots are important before conducting large population surveys.

Educational differences in self-rated physical fitness among Finns.

BACKGROUND: The high educated live longer and healthier lives when compared to the low educated. Physical fitness as a health indicator reflects the level of physical activity along with other health-influencing factors such as obesity, smoking, chronic diseases and individual training effects. Studies support that self-rated physical fitness correlates with objectively measured physical fitness well. However, the educational differences in self-rated physical fitness are not known. METHODS: Our aim was to study educational differences in self-rated physical fitness in Finnish population. The data were collected in 2007 for a cross-sectional population based National FINRISK Study. The analyzed data included 2722 men and 3108 women aged 25 to 74 years. Statistical method was ordinal logistic regression. RESULTS: Longer educational career was associated with better self-rated physical fitness. The educational differences in self-rated physical fitness were largely explained by health behavior. Leisure-time physical activity explained fully and body mass index partly the educational differences in self-rated physical fitness among men. The combination of body mass index, history of chronic diseases and smoking explained the differences fully among men and partly among women. Leisure-time, occupational and commuting physical activities, body mass index, history of chronic diseases and smoking together explained all educational differences in self-rated physical fitness among both genders. CONCLUSIONS: Although educational differences in self-rated physical fitness were found, they were explained by health behavior related factors. Leisure-time physical activity offered the strongest single explanation for the educational differences in self-rated physical fitness. Thus, possibilities for leisure-time physical activity should be increased especially among the low educated.

Social capital, health behaviours and health: a population-based associational study.

BACKGROUND: Social capital is associated with health behaviours and health. Our objective was to explore how different dimensions of social capital and health-related behaviours are associated, and whether health behaviours mediate this association between social capital and self-rated health and psychological well-being. METHODS: We used data from the Health 2000 Survey (n=8028) of the adult population in Finland. The response rate varied between 87% (interview) and 77% (the last self-administered questionnaire). Due to item non-response, missing values were replaced using multiple imputation. The associations between three dimensions of social capital (social support, social participation and networks, trust and reciprocity) and five health behaviours (smoking, alcohol use, physical activity, vegetable consumption, sleep) were examined by using logistic regression and controlling for age, gender, education, income and living arrangements. The possible mediating role of health behaviours in the association between social capital and self-rated health and psychological well-being was also analysed with a logistic regression model. RESULTS: Social participation and networks were associated with all of the health behaviours. High levels of trust and reciprocity were associated with non-smoking and adequate duration of sleep, and high levels of social support with adequate duration of sleep and daily consumption of vegetables. Social support and trust and reciprocity were independently associated with self-rated health and psychological well-being. Part of the association between social participation and networks and health was explained by physical activity. CONCLUSIONS: Irrespective of their social status, people with higher levels of social capital - especially in terms of social participation and networks - engage in healthier behaviours and feel healthier both physically and psychologically.

Educational differences in estimated and measured physical fitness.

BACKGROUND: Available information about the association between education and physical fitness (PF) is scarce. The purpose of this study was to examine educational differences in PF in the working age population using different methods to assess PF. METHODS: The Health 2000 Survey was carried out for adults aged ≥ 30 years (n = 8028) in Finland. For this study, 30-54-year-old men and women with data on PF and physical activity (PA) were selected (n = 3724). PF was assessed by self-estimated overall physical fitness and running ability, a physician's estimation of a participant's working capacity, the trunk extensors' endurance and hand grip strength tests. The highest educational qualification taken by the participant was used as a measure of education. The analyses were adjusted for age, PA, BMI, smoking and chronic diseases. RESULTS: PF was best in the high-educated men and women. The educational differences were minor in self-estimated overall PF. Adjusting for the covariates, the differences in self-estimated running ability and working capacity decreased. The educational differences in the trunk extensors' endurance test were independent of covariates. PA and other health behaviours contributed most to the differences. CONCLUSION: People with high education had better PF irrespective of the method used to assess PF. A large amount of the educational differences could be explained by PA and other health behaviours. More research is needed to understand the determinants of educational differences in PF.

Leisure time physical activity in a 22-year follow-up among Finnish adults.

BACKGROUND: The aim of this study was to explore long-term predictors of leisure time physical activity in the general population. METHODS: This study comprised 718 men and women who participated in the national Mini-Finland Health Survey from 1978-1980 and were re-examined in 2001. Participants were aged 30-80 at baseline. Measurements included interviews, health examinations, and self-administered questionnaires, with information on socioeconomic position, occupational and leisure time physical activity, physical fitness, body mass index, smoking, alcohol consumption, and physical functional capacity. Analyses included persons who were working and had no limitations in functional capacity at baseline. RESULTS: The strongest predictor of being physically active at the follow-up was participation in physical activity at baseline, with an OR 13.82 (95%CI 5.50-34.70) for 3 or more types of regular activity, OR 2.33 (95%CI 1.22-4.47) for 1-2 types of regular activity, and OR 3.26 (95%CI 2.07-5.15) for irregular activity, as compared to no activity. Other determinants for being physically active were moving upwards in occupational status, a high level of baseline occupational physical activity and remaining healthy weight during the follow-up. CONCLUSIONS: To prevent physical inactivity among older adults, it is important to promote physical activity already in young adulthood and in middle age and to emphasize the importance of participating in many types of physical activity.

Age, marital status and changes in dietary habits in later life: a 21-year follow-up among Finnish women.

OBJECTIVE: To examine 21-year longitudinal changes in dietary habits and their associations with age and marital status among women aged 50-60 years at baseline. DESIGN: Prospective, longitudinal study of a cohort in the FINMONICA population-based risk factor survey with clinical assessments in 1982, 1992 and 2003. Dietary habits were assessed via self-reported consumption of foods typically contributing to SFA, cholesterol and sugar intakes in the Finnish diet. A dietary risk score based upon five items was used. SETTING: Kuopio region, Finland. SUBJECTS: Complete data from all three assessments for 103 women of the original cohort of 299 were included for two age groups: 50-54 and 55-60 years at baseline. RESULTS: Dietary habits improved between 1982 and 1992 and showed continued but less pronounced improvement between 1992 and 2003: within the younger age group, 78 % of the women reduced the number of dietary risk points from the 1982 to 2003 scores, whereas 3 % increased them and 19 % reported no change. In the older age group these percentages were 61 %, 23 % and 16 %, respectively. Women who remained married showed a steadier decline in dietary risk points than single women or women who were widows at the beginning of the follow-up. CONCLUSIONS: Older women make positive changes to their dietary habits but the consistency of these changes may be affected by the ageing process, marital status and changes in the latter.

Contribution of education level and dairy fat sources to serum cholesterol in Russian and Finnish Karelia: results from four cross-sectional risk factor surveys in 1992-2007.

BACKGROUND: Food habits vary by socio-economic group and geographic area. Data on socio-economic differences in food habits and in serum total cholesterol concentration from Russia are scarce. Our aim was to examine changes and educational differences in serum total cholesterol and in the consumption of major sources of saturated fat in two geographically neighbouring areas, Russian and Finnish Karelia, and to examine whether the foods associated with serum total cholesterol are different in the two areas. METHODS: Data from cross-sectional risk factor surveys from years 1992, 1997, 2002 and 2007 in the district of Pitkäranta, the Republic of Karelia, Russia (n = 2672), and North Karelia, Finland (n = 5437), were used. The analyses included two phases. 1) To examine the differences in cholesterol by education, the means and 95% confidence intervals for education groups were calculated for each study year. 2) Multivariate linear regression analysis was employed to examine the role of butter in cooking, butter on bread, fat-containing milk and cheese in explaining serum total cholesterol. In these analyses, the data for all four study years were combined. RESULTS: In Pitkäranta, serum total cholesterol fluctuated during the study period (1992-2007), whereas in North Karelia cholesterol levels declined consistently. No apparent differences in cholesterol levels by education were observed in Pitkäranta. In North Karelia, cholesterol was lower among subjects in the highest education tertile compared to the lowest education tertile in 1992 and 2002. In Pitkäranta, consumption of fat-containing milk was most strongly associated with cholesterol (ß=0.19, 95% CI 0.10, 0.28) adjusted for sex, age, education and study year. In North Karelia, using butter in cooking (ß=0.09, 95% CI 0.04, 0.15) and using butter on bread (ß=0.09, 95% CI 0.02, 0.15) had a significant positive association with cholesterol. CONCLUSIONS: In the two geographically neighbouring areas, the key foods influencing serum cholesterol levels varied considerably. Assessment and regular monitoring of food habits are essential to plan nutrition education messages that are individually tailored for the target area and time.

Twenty-five year trends in body mass index by education and income in Finland.

BACKGROUND: The socioeconomic gradient in obesity and overweight is amply documented. However, the contribution of different socioeconomic indicators on trends of body mass index (BMI) over time is less well known. The aim of this study was to investigate the associations of education and income with (BMI) from the late 1970s to the early 2000s. METHODS: Data were derived from nationwide cross-sectional health behaviour surveys carried out among Finns annually since 1978. This study comprises data from a 25-year period (1978-2002) that included 25 339 men and 25 330 women aged 25-64 years. BMI was based on self-reported weight and height. Education in years was obtained from the questionnaire and household income from the national tax register. In order to improve the comparability of the socioeconomic position measures, education and income were divided into gender-specific tertiles separately for each study year. Linear regression analysis was applied. RESULTS: An increase in BMI was observed among men and women in all educational and income groups. In women, education and income were inversely associated with BMI. The magnitudes of the associations fluctuated but stayed statistically significant over time. Among the Finnish men, socioeconomic differences were more complicated. Educational differences were weaker than among the women and income differences varied according to educational level. At the turn of the century, the high income men in the lowest educational group had the highest BMI whereas the income pattern in the highest educational group was the opposite. CONCLUSION: No overall change in the socio-economic differences of BMI was observed in Finland between 1978 and 2002. However, the trends of BMI diverged in sub-groups of the studied population: the most prominent increase in BMI took place in high income men with low education and in low income men with high education. The results encourage further research on the pathways between income, education, living conditions and the increasing BMI.

Socio-economic differences in self-reported insomnia and stress in Finland from 1979 to 2002: a population-based repeated cross-sectional survey.

BACKGROUND: Over the decades, global public health efforts have sought to reduce socio-economic health differences, including differences in mental health. Only a few studies have examined changes in socio-economic differences in psychological symptoms over time. The aim of this study was to assess trends in socio-economic differences in self-reported insomnia and stress over a 24-year time period in Finland. METHODS: The data source is a repeated cross-sectional survey "Health Behaviour and Health among the Finnish Adult Population" (AVTK), from the years 1979 to 2002, divided into five study periods. Indicators for socio-economic status included employment status from the survey, and educational level and household income from the Statistics Finland register data. We studied the age group of 25-64 years (N = 70115; average annual response rate 75%). Outcome measures were single questions of self-reported insomnia and stress. RESULTS: The overall prevalence of insomnia was 18-19% and that of stress 16-19%. Compared to the first study period, 1979-1982, the prevalence of stress increased until study period 1993-1997. The prevalence of insomnia increased during the last study period, 1998-2002. Respondents who were unemployed or had retired early reported more insomnia and stress over time among both men and women. Lower education was associated with more insomnia especially among men; and conversely, with less stress among both sexes. Compared to the highest household income level, those in the intermediate levels of income had less stress whereas those in the lowest income levels had more stress among both sexes. Income level differences in insomnia were less consistent. In general, socio-economic differences in self-reported insomnia and stress fluctuated some, but did not change substantially over the study period 1979-2002. CONCLUSIONS: Self-reported insomnia and stress were more common during later study periods. The socio-economic differences in insomnia and stress have remained fairly stable over a 24-year time period. However, some of the associations in socio-economic differences were curvilinear and converse. Future studies are needed to explore the complex socio-economic gradients, especially in stress.

Health behaviours as mediating pathways between socioeconomic position and body mass index.

BACKGROUND: Low socioeconomic position is widely reported to associate with high body mass index (BMI). We, however, lack scientific evidence if health behaviours mediate the association between socioeconomic position and BMI. PURPOSE: The aims of the study were to explore associations of education and income with BMI and to study the mediating pathways through health behaviours. METHOD: Study population comprised 3,995 Finnish men and women aged 25 to 64 years who participated in a cross-sectional, population-based FINRISK 2002 Study. Participants' height and weight were measured to calculate BMI. Self-administered questionnaire assessed education, household income, leisure time physical activity, sitting behaviour, dietary habits, smoking, and alcohol consumption. Structural equation modelling with latent variables was applied to estimate age-adjusted direct and indirect associations between variables. RESULTS: Most health behaviours mediated the association between socioeconomic position and BMI. Strongest and most consistent mediators were diet and sitting in men and women, as well as leisure time physical activity in women. Health behaviours clustered strongly with each other. CONCLUSIONS: The strongest indirect associations between socioeconomic position and BMI were mediated through variables related to energy balance, i.e. diet and sedentariness. To reduce the socioeconomic variation in overweight and obesity, the main focus should be on food and sedentary behaviours while also taking into account the gender differences and clustering of unhealthy behaviours.

The contribution of psychological distress to socio-economic differences in cause-specific mortality: a population-based follow-up of 28 years.

BACKGROUND: Psychological factors associated with low social status have been proposed as one possible explanation for the socio-economic gradient in health. The aim of this study is to explore whether different indicators of psychological distress contribute to socio-economic differences in cause-specific mortality. METHODS: The data source is a nationally representative, repeated cross-sectional survey, "Health Behaviour and Health among the Finnish Adult Population" (AVTK). The survey results were linked with socio-economic register data from Statistics Finland (from the years 1979-2002) and mortality follow-up data up to 2006 from the Finnish National Cause of Death Register. The data included 32,451 men and 35,420 women (response rate 73.5%). Self-reported measures of depression, insomnia and stress were used as indicators of psychological distress. Socio-economic factors included education, employment status and household income. Mortality data consisted of unnatural causes of death (suicide, accidents and violence, and alcohol-related mortality) and coronary heart disease (CHD) mortality. Adjusted hazard ratios were calculated using the Cox regression model. RESULTS: In unnatural mortality, psychological distress accounted for some of the employment status (11-31%) and income level (4-16%) differences among both men and women, and for the differences related to the educational level (5-12%) among men; the educational level was associated statistically significantly with unnatural mortality only among men. Psychological distress had minor or no contribution to socio-economic differences in CHD mortality. CONCLUSIONS: Psychological distress partly accounted for socio-economic disparities in unnatural mortality. Further studies are needed to explore the role and mechanisms of psychological distress associated with socio-economic differences in cause-specific mortality.

Socio-economic differences in the consumption of vegetables, fruit and berries in Russian and Finnish Karelia: 1992-2007.

BACKGROUND: Food habits and their socio-economic differences in Russia have rarely been compared to those in western countries. Our aim was to determine socio-economic differences and their changes in the consumption of vegetables, fruit and berries in two neighbouring areas: the district of Pitkäranta in the Republic of Karelia, Russia, and North Karelia, Finland. METHODS: Cross-sectional risk factor surveys in Pitkäranta, in 1992, 1997, 2002 and 2007 (1144 men, 1528 women) and in North Karelia, in 1992, 1997 and 2002 (2049 men, 2316 women), were carried out. Data collected with a self-administered questionnaire were analysed with logistic regression. RESULTS: The consumption of fruit and vegetables was more common in North Karelia than in Pitkäranta, but increased markedly in Pitkäranta from 1992 to 2007. In Pitkäranta, women, and in North Karelia both men and women with higher education ate fresh vegetables more often than those with a lower education. In both areas, daily consumption of fruit tended to be more common among subjects with a higher education. In Pitkäranta, there were virtually no differences by employment status. In North Karelia, vegetable consumption was less common among the unemployed than the employed subjects. Only minor socio-economic differences in berry consumption were observed. The educational differences in vegetable consumption seemed to widen in Pitkäranta and narrow in North Karelia. CONCLUSION: A converging trend was observed, with the Russian consumption levels and socio-economic differences starting to approach those observed in Finland. This may be partly explained by the improvements in availability and affordability of fruit and vegetables in Pitkäranta.

The effects of adolescence sports and exercise on adulthood leisure-time physical activity in educational groups.

BACKGROUND: Physical inactivity has become a major public health problem and clear educational differences in physical activity have been reported across Europe and USA. The origins of adulthood physical activity are suggested to be in childhood and adolescence physical activity. Hardly any studies have, however, examined if the educational differences in physical activity might also be due to educational differences in early experiences in physical activity. Thus, our aim was to examine how competitive sports in youth, and exercise in late adolescence, and opinions on physical education (PE) in childhood determined adulthood leisure-time physical activity (LTPA) in different educational groups. METHODS: We used cross-sectional population-based National FINRISK 2002 data for 1918 men and 2490 women aged 25 to 64 years. Competitive sports in youth, exercise in late adolescence, and opinions on PE in childhood were assessed retrospectively via self-reports. Adulthood LTPA was collected with 12-month recall. In 2008, we calculated structural equation models including latent variables among the low- (<12 years) and high- (>/=12 years) educated. RESULTS: Men more often than women reported that their experience of PE was interesting and pleasant as well as having learned useful skills during PE classes. Men, compared to women, had also been more active in the three selected competitive sports in youth and exercised in late adolescence. Participation in competitive sports in youth among the low-educated and exercise in late adolescence among the high-educated had a direct effect on adulthood LTPA. Among the low-educated, opinions on PE in childhood had an indirect effect on adulthood LTPA through participation in competitive sports in youth whereas among the high-educated, the indirect effect went through exercise in late adolescence. The effects were mainly similar between genders. CONCLUSIONS: Our study answers to a strong need to assess the determinants of leisure-time physical activity to promote physical activity in low-educated individuals. The pathways of physical activity from childhood to adulthood LTPA may be different depending on the pursued educational career. Further prospective studies are needed to confirm our results.

Marital status, educational level and household income explain part of the excess mortality of survey non-respondents.

Survey respondents and non-respondents differ in their demographic and socio-economic position. Many of the health behaviours are also known to be associated with socio-economic differences. We aimed to investigate how much of the excess mortality of survey non-respondents can be explained by the socio-economic differences between respondents and non-respondents. Questionnaire-based adult health behaviour surveys have been conducted in Finland annually since 1978. Data from the 1978 to 2002 surveys, including non-respondents, were linked with mortality data from the Finnish National Cause of Death statistics and with demographic and socio-economic register data (marital status, education and household income) obtained from Statistics Finland. The mortality follow-up lasted until 2006, in which period there were 12,762 deaths (7,994 in men and 4,768 in women) during the follow-up. Total and cause-specific mortality were higher among non-respondents in both men and women. Adjusting results for marital status, educational level and average household income decreased the excess total and cause-specific mortality of non-respondents in both men and women. Of the total excess mortality of non-respondents, 41% in men and 20% in women can be accounted for demographic and socio-economic factors. A part of the excess mortality among non-respondents can be accounted for their demographic and socio-economic characteristics. Based on these results we can assume that non-respondents tend to have more severe health problems, acute illnesses and unhealthy behaviours, such as smoking and excess alcohol use. These can be reasons for persons not taking part in population surveys.

School and workplace meals promote healthy food habits.

OBJECTIVE: The present study is to describe, on the basis of recent Finnish population surveys, (i) the frequencies of school and worksite canteen use, (ii) the determinants of having a hot lunch during school or working hours and (iii) the associations of lunch eating patterns with food habits. SETTING: The study summarises mainly basic reports and studies concerning catering services conducted in Finland based on nationally representative population surveys.Design and subjectsCross-sectional study. The most important surveys cited in this paper are the School Health Promotion Study, the Work and the Working Conditions survey, the National FINDIET 2002 Study, and the Health Behavior and Health among Finnish Adult Population survey. RESULTS: School lunch is eaten by on average 70-90 % of children aged 9-18 years. Of all employees, 30 % eat at a worksite canteen daily, whereas 30 % of men and 45 % of women eat packed lunches. Nationally representative cross-sectional population surveys show that the use of catering services is associated with more healthy food habits; schoolchildren eating school meals and employees eating lunch at a worksite canteen tend to make food choices closer to nutritional recommendations as compared to those not using catering services to the same degree. CONCLUSIONS: Some evidence exists that catering services in schools and worksites contribute to healthy eating habits in the population. In order to verify the positive role of catering services more scientific research with prospective and intervention design studies will be needed.