Skip to main content
Download PDF

Time trends in social differences in nutrition habits of a Lithuanian population: 1994-2010

BMC Public Health volume 12, Article number: 218 (2012) Cite this article

Abstract

Background

During the post-communist transition period, political, economic, and social changes affected the lifestyles of the Lithuanian population, including their nutritional habits. However, people of lower socio-economic position were more vulnerable to these changes. The aim of the present study was to evaluate the trends in selected food habits of the Lithuanian adult population by their level of education and place of residence from 1994 to 2010.

Methods

The data were obtained from nine biannual cross-sectional postal surveys of Lithuanian health behaviours, beginning in 1994. Each survey used a randomly selected nationally representative sample of 3000 inhabitants aged 20-64 drawn from the population register. In total, 7358 men and 9796 women participated in these surveys. Questions about food consumption were included within all health behaviour questionnaires.

Results

During the transition period, use of vegetable oil in cooking and the frequency of consumption of fresh vegetables increased, use of butter on bread decreased, and the proportion of women drinking high-fat milk declined. Lithuanians with higher education reported more frequent use of vegetable oil in cooking as well as daily consumption of fresh vegetables than those with a lower level of education. Consumption of high-fat milk was inversely associated with educational background. In addition, the proportion of persons spreading butter on bread increased with higher education level. The greatest urban-rural difference was observed in high-fat milk consumption. The increase in the use of vegetable oil in cooking, and the reduction of spreading butter on bread was more evident among less educated and rural inhabitants. Meanwhile, a greater proportion of the rural population, compared to urban, reduced their use of butter on bread. Daily consumption of fresh vegetables increased most among highly educated Lithuanians.

Conclusions

The data from our study indicate beneficial dietary changes among the Lithuanian adult population. In general, those with a higher level of education had healthier food habits than those with low education. The educational gradient in analyzed food habits, except the use of vegetable oil, enlarged. A higher proportion of the rural population, compared to urban, reduced their usage of butter on bread. However, consumption of high-fat milk was greatest in the rural population. Our data highlight the need for future food and nutrition policies, as well as health promotion programmes, targeting the whole population, particularly those with lower education and living in rural areas.

Peer Review reports

Background

Socio-economic differences in health have been reported in many countries [1–3]. It is well known that health inequalities depend on economic, cultural, psychosocial, environmental and lifestyle factors. Diet is one such factor, playing an important role in the development of chronic non-communicable diseases (NCD), such as cardiovascular diseases (CVD), some cancers, and obesity; therefore, social differences in nutrition habits may partly explain social inequalities in morbidity and mortality from NCD [4–6]. Many studies have shown that people of higher socioeconomic status tend to have healthier diets than lower-status groups [7–9]. Social and economic changes in a country may impact nutrition habits, socio-demographic differences in diet, and other health behaviours of populations [10, 11].

In Lithuania, the transition period from a centralized-communist to a market-oriented economy was characterized by a widening gap between social strata [12]. Mortality rates decreased among the highly educated but increased among those with lower levels of education [13]. Life expectancy of rural population was shorter compared to urban population [14]. During the post-communist transition period, food prices increased dramatically [14]. People with lower socio-economic position were more vulnerable to inflation and subsequent declines in real income. Meanwhile, the availability and variety of foods increased considerably in Lithuania. Different kinds of vegetable oil and margarine, as well as fresh fruits and vegetables, became easily accessible. Furthermore, health promotion programmes and new food legislation were introduced. However, relatively little is known about how these changes influenced social inequalities in Lithuanian nutritional habits.

Since 1994, health behaviour monitoring has been carried out among the Lithuanian adult population. The monitoring data provide an opportunity to study the changes of socio-economic differences in health behaviours during the post-communist transition period. This study focused on dietary behaviours. Specifically, the use of vegetable oil in cooking and daily consumption of fresh vegetables were chosen as examples of healthy dietary habits, while the use of butter on bread and drinking high-fat milk were considered as unhealthy food habits.

The aim of the study was to evaluate trends in selected food habits by the level of education and place of residence from 1994 to 2010.

Methods

Study design

The data from the Health Behaviour Monitoring among the Lithuanian adult population were analyzed [11, 15]. Since 1994, nine cross-sectional surveys have been carried out biannually. For every survey, a nationally representative random sample, aged 20-64, was drawn from the National Population Register. The sampling unit was the individual in all surveys; no measures were taken to substitute non-respondents. The sample consisted of 3000 individuals in 1994-2008 surveys, and 4000 in the 2010 survey. The questionnaires were sent by mail in April, with one reminder mailed to those who did not respond. Response rates were satisfactory in all surveys, ranging from 54 to 74% (64% in 1994, 69% in 1996, 64% in 1998, 74% in 2000, 64% in 2002, 62% in 2004, 59% in 2006, 61% in 2008, and 54 in 2010). In total, 7358 men and 9796 women participated in the surveys.

The Lithuanian Bioethics Committee approved all surveys.

Socio-demographic characteristics

Education and place of residence were chosen as socio-demographic determinants. Level of education was determined by the following question: 'What is your education?' Possible answer choices were: 1) primary, 2) incomplete secondary, 3) secondary, 4) vocational school, 5) college, 6) university. For analyses, respondents were categorized into four educational groups: 1) primary or incomplete secondary education, 2) secondary school, 3) college or vocational school, and 4) university.

According to the administrative classification of places of residence, the respondents were grouped as living in cities, towns or villages. The addresses of respondents, obtained from the National Population Register, were used for determination of living place. Cities included the capital city and four largest cities, towns - the centers of municipalities and towns with population at least 2000 inhabitants, villages - small towns and countryside.

The characteristics of the study population are presented in Table 1.

Table 1 Distribution of study population (%) by socio-demographic variables (1994 - 2010)
Full size table

Assessment of food habits

The questionnaire included several food-related questions. The type of fat used in cooking was identified by the following question: 'What kind of fat do you mostly use for food preparation at home?' This variable was dichotomized as vegetable oil users and others. The respondents were also asked what kind of fat they mostly spread on bread. The variable was divided into two categories: butter users and others. The group of 'butter users' included persons using butter or mixture of butter and vegetable oil. The type of consumed milk was assessed with the following question: 'What kind of milk do you usually drink?' Milk drinkers were divided into those who consumed high-fat milk (3.5% fat content and more) and others. The question addressing the weekly consumption frequency of fresh vegetables was included in the questionnaire beginning in 1996. This variable was dichotomized as daily users (6-7 days per week) and others.

Statistical methods

Data were analysed using the statistical package SPSS (version 15). Analysis was performed separately for men and women. The data were weighted to match the age distribution of the Lithuanian population aged 20-64 in 2010. Normal approximation was used in calculation of 95% confidence intervals for standardized proportions.

The distribution of the population by education varied between surveys. In order to compare the nutrition habits by education, a ranking measure for educational level was constructed and used in the calculation of a Relative Inequality Index (RII) and its 95% confidence intervals [16]. The ranked variable was expressed as the cumulative proportion of each education level within the educational hierarchy, with 0 (low) and 1 (high) as the extreme values. The RII was estimated using logistic regression, controlled for age and place of residence, separately for men and women. The RII can be interpreted as the odds of having a certain food habit at the top end of the educational hierarchy compared to the lowest end of the educational hierarchy.

The effect of the place of residence on nutrition habits was evaluated using logistic regression analysis. All models were applied separately for men and women. The odds of having a certain food habit were calculated with adjustment for age and education. The reference group was respondents living in villages.

Results

Since 1994, the proportion of Lithuanian men and women using vegetable oil in cooking has risen. The largest increase was observed from 1994 to 1998. During this period, the proportion of persons using mostly vegetable oil in cooking increased by 2.3 times in men and by 1.8 times in women (Figure 1). In 2010, the majority of Lithuanian population, 85% (95% CI: 83-88) of men and 93% (95% CI: 92-94) of women, used vegetable oil in cooking.

Figure 1
figure 1

Proportion of persons using vegetable oil in cooking in 1994-2010.

Full size image

Between 1994 and 2000, the frequency of spreading butter on bread decreased from 70% (95% CI: 67-73) to 37% (95% CI: 34-40) in men and from 65% (95% CI: 62-68) to 38% (95% CI: 35-41) in women (Figure 2). Since 2000 though, the use of butter on bread increased. In 2010, 59% (95% CI: 56.5-60.9) of men and women reported spreading butter on bread.

Figure 2
figure 2

Proportion of persons using butter on bread in 1994-2010.

Full size image

The frequency of consumption of high-fat milk was high. However between 2000 and 2008, decreasing trends were observed. During this period, the proportion of people drinking high-fat milk declined from 59% (95% CI: 56-62) to 35% (95% CI: 32-38) in men and from 57% (95% CI: 42-60) to 27% (95% CI: 25-30) in women (Figure 3). The most recent survey, conducted in 2010, demonstrated that the proportion of men and women consuming high-fat milk had increased since the 2008 survey.

Figure 3
figure 3

Proportion of persons drinking high-fat milk in 1994-2010.

Full size image

Analysis of the trends in consumption of fresh vegetables between 1996 and 2008 showed that the proportion of daily consumers increased from 4% (95% CI: 3-5) to 23% (95% CI: 20-26) in men and from 5% (95% CI: 4-7) to 29% (95% CI: 26-32) in women (Figure 4). Despite this, a recent declining trend in the consumption of fresh vegetables appeared in the last survey. Since 1998, women reported more frequent consumption of fresh vegetables than men did.

Figure 4
figure 4

Proportion of persons eating fresh vegetables daily in 1996-2010.

Full size image

Analyses of pooled data from all surveys showed nutrition habits were associated with education. People with higher education reported cooking with vegetable oil and daily consumption of fresh vegetables more often than the less educated (Table 2). However, consumption of high fat-milk was inversely associated with educational level. The proportion of persons spreading butter on bread increased with level of education.

Table 2 Age-adjusted prevalence (%) of given nutrition habits by educational level (95% confidence intervals) (all study years combined)
Full size table

Analyses of time trends in nutrition habits showed that use of vegetable oil increased in all educational groups, and that this increase was the largest among people with less education. Among men, educational differences in the use of vegetable oil vanished in 2000 (Table 3). In the majority of surveys, highly educated women used vegetable oil in cooking more often than the less educated. In 1994, the use of butter on bread was more common among less educated respondents (Tables 3, 4). In later years, the frequency of reported use of butter on bread decreased among less educated men and women. In contrast, the proportion of highly educated persons using butter remained stable among men and increased among women. Educational differences were significant in all surveys. During the study period, less educated people reported consumption of high-fat milk more often than the highly educated (Tables 3, 4). During the study, the increase in daily consumption of fresh vegetables was more evident among the highly educated compared to the less educated (Tables 3, 4). The greatest educational gradient was observed in 2000-2002 and 2010.

Table 3 Educational inequalities in nutrition habits among men (prevalence and RII*)
Full size table
Table 4 Educational inequalities in nutrition habits among women (prevalence (%) and RII*)
Full size table

Nutrition habits were related to the respondent's place of residence. The use of vegetable oil in cooking, daily consumption of fresh vegetables, and the usage of butter on bread were more common in cities than in rural areas (Table 5). The respondents in rural areas consumed high-fat milk more often than those living in cities.

Table 5 Age-adjusted prevalence (%) of given nutrition habits by place of residence (95% confidence intervals) (all study years combined)
Full size table

The increase in the use of vegetable oil was more evident in villages, therefore differences by place of residence diminished in the most recent surveys (Tables 6, 7). The proportion of persons spreading butter on bread decreased in villages, but did not changed in cities. Since 2000, urban-rural differences became significant among women (Table 7). The same differences in men were the highest in 2000 and 2010. The differences in consumption of high-fat milk by living place diminished during the study period due to decreasing trends in consumption in rural areas. For both cities and villages, the frequency of daily consumption of fresh vegetables increased. Urban-rural differences in daily consumption of vegetables were small, but reached statistical significance in men in 2000 and 2006, and in women reached significance in 2004 and 2006 (Tables 6, 7).

Table 6 Differences in nutrition habits by place of residence among men (prevalence and adjusted OR*)
Full size table
Table 7 Differences in nutrition habits by place of residence among women (prevalence and adjusted OR*)
Full size table

Discussion

Our study has demonstrated some positive changes in the food habits of the Lithuanian adult population during the post-communist transition period. The use of vegetable oil in cooking and the frequency of consumption of fresh vegetables both increased. Conversely, the use of butter on bread decreased and the proportion of women drinking high-fat milk declined.

Several factors could explain these trends in food habits. Great changes occurred within the Lithuanian food market during this study period. Trade was liberalized; healthier food products, such as vegetable oils, soft margarines, low-fat dairy products, and a variety of fruits and vegetables became available. Affordable prices and good quality contributed to increases in consumption of these foods. Lithuanian food behaviours may have also been affected by health promotion campaigns and new health policies that emphasized the role of healthy nutrition in NCD prevention. For example, targets for healthy nutrition were included in the Lithuanian Health Programme (1998) [17]. In 2003, the Republic of Lithuania approved the State Food and Nutrition Strategy and Action Plan for 2003-2010 [18]. The main goal of this strategy was to reduce the prevalence of diet-related diseases and to improve the population's overall health. Among its priorities was increasing the accessibility and affordability of healthy food for all social groups. Food-based dietary guidelines were published to help the population make healthier choices [19]. These guidelines encouraged reduced fat consumption, especially from animal fat sources, limited consumption of meat products, and promotion of fruit and vegetable consumption.

Recently, the national diets of European countries became less distinct [20]. Mediterranean countries increased their consumption of meat, milk and sugar; meanwhile, some Northern countries decreased their intake of such foods and increased their fruit and vegetable consumption [21–26]. Dietary trends observed elsewhere in Central and Eastern European countries are similar to those found in Lithuania [10, 11, 27, 28]. The increase in the availability of vegetable oils, margarines, fresh fruits and vegetables - even when out of season - was followed by rise in the consumption of healthier foods. Stimulated by the initiative of the WHO European Regional Office, many European countries developed their own policies on food and nutrition that contributed to favourable changes in nutrition habits of their populations [24, 29, 30].

Our study revealed that trends in nutrition habits varied between various socio-demographic groups. The increase in the use of vegetable oil was more evident among less educated people and those living in villages compared to the highly educated and urban residents. Increased availability of vegetable oils stimulated widespread replacement of lard-based cooking technique, which was traditionally used in food preparation, particularly among lower socio-economic groups. In 1987, 52.0% of the Lithuanian rural population used mostly lard in cooking [31]. During the study period, social differences in use of vegetable oil in cooking have diminished.

Our findings showed that trends in the type of fat spread on bread also differed by socio-demographic group. A greater proportion of less educated people and rural inhabitants replaced butter with margarine. Such trends might be explained by the increase in the price of butter over time. When margarines, which are considerably cheaper than butter, became available, the use of butter decreased among those with lower incomes. Data from previous studies illustrated that food prices influence food choice and that people of lower socio-economic position are the most susceptible to price fluctuation [32, 33]. Moreover, cultural factors and the food-related beliefs of consumers are also important contributors to food choice [32, 34]. For example, in Lithuania butter is considered an organic, healthy food. People are sceptical of replacing butter with margarine, which is seen as a processed, 'artificial' food, with negative impacts on health. The media supports such attitudes by providing misleading information about the health benefits of butter produced by Lithuanian farmers. The Lithuanian media may have a greater impact on highly educated people who use butter more often than the less educated. Similar educational patterns were observed in Russia, Latvia, Poland, and other countries with transition economies [10, 11, 35]. Meanwhile, the opposite association was found in Estonia and the Nordic countries [11, 35]. Health education campaigns warning against butter as source of saturated fatty acids and recommending unsaturated fats might have influenced the behaviours of the highly educated in those countries.

According to our data, less educated and rural populations consumed high-fat milk most often. Social differences in milk consumption did not change over time. Such results are in line with other studies that reported an inverse association between consumption of high-fat milk and education level [36–38].

During the study period, daily consumption of fresh vegetables increased in all educational groups. However, this increase was most evident among the highly educated. In Lithuania, fresh vegetables and fruits are inexpensive in summer, but in spring and winter, when most fresh vegetables and fruits are imported, their prices rise. Our surveys were carried out in April and May, when availability of local vegetables was limited and prices were high. In order to increase consumption, the Lithuanian Government reduced VAT rate on fruits and vegetables in 2008; one year later, the VAT rate was restored because of the global economic crisis. According to comparison of surveys from nine European countries, a positive association between education level and vegetable consumption was related to the availability of vegetables [9]. This positive association was observed in countries with low availability and high prices for fruits and vegetables (Nordic and Baltic countries), whereas in countries where the availability and affordability were higher (France, Italy, Spain), the association was opposite. Northern countries do not have a tradition of consuming vegetables regularly. In those countries, consumption of fruits and vegetables is considered a 'modern' food habit. Higher socioeconomic groups are typically the first to choose these 'modern' foods [9].

In general, our study indicated beneficial dietary changes within the Lithuanian adult population. However, food habits of a large proportion of the Lithuanians do not meet healthy nutrition recommendations [19]. Therefore, Lithuanian Food and Nutrition Policy need renewal and supplementation to achieve the desired change in nutrition habits. The Ministry of Health, in collaboration with other government sectors, is developing the new Intersectorial Food and Nutrition Action Plan for 2012 - 2014 that aims to harmonise all activities dealing with nutritional problems of Lithuanians.

Several limitations of our study should be considered when interpreting our results. Our questionnaire included food-related questions that were used to identify the groups of people with different food habits. However, we were not able to measure amounts of consumed food or to calculate the nutrient content of respondent's diet. Validation studies of the questionnaire, using the 24-hour dietary recall as a reference method, revealed that data obtained by the two methods correlated well and simple food questions could be used to estimate 'high' and 'low' users of certain foods [39].

We used education and place of residence to characterize socio-economic groups. The level of education within a population increases over time; therefore, a comparison of educational differences in food habits over a period of 16 years may be biased. In Lithuania, the system of primary-secondary-higher education developed between the two world wars. In Soviet times, the education system was rather uniform. The development of Lithuania's current system started in the 1990s. Since 2003, it covers preschool, general, secondary, vocational, and higher (college and university) education. After reform of the vocational education system, college, as a higher education institution, was established. We grouped all respondents with college and vocational educations into one category, in order to maintain comparable educational categories throughout the study period. We were unable to study the effects of income on food habits; however, previous studies carried out in a Lithuanian population showed that educational level was directly associated with income [40]. The question about income appeared to be very sensitive to our respondents and was not included in the most surveys.

Furthermore, people belonging to higher social classes are more likely to be conscious of socially desirable eating habits and this might affect the reporting of nutrition habits [41]. Moreover, our findings may not be entirely representative, since non-response is often associated with unhealthy behaviours. The response rate tended to decrease in the most recent surveys. Therefore, it is possible that our results show a more favourable picture than if all selected samples were examined. We did not have data on non-respondents, but comparison of early and later respondents found only slight differences [42].

Despite the limitations described above, several major strengths of our study can be emphasized. First, it provides long-term trends in nutrition habits of Lithuanian adult population covering almost two decades of economic transition. Second, all cross-sectional surveys were carried out on nationally representative samples following the same methodology. Response rates were relatively high. Finally, to obtain maximal comparability, the questions regarding foods were asked in the same way in all surveys.

The Health Behaviour Monitoring has offered reliable data for the planning and evaluation of Lithuanian Food and Nutrition Policy. The future actions should be aimed at the increase of fresh vegetables consumption and reduction of high-fat dairy products intake targeting the most vulnerable groups of society.

Conclusions

Our study showed an improvement in food habits of the Lithuanian adult population during the period 1994-2010. The consumption of animal fat declined, while the use of vegetable oil in cooking and consumption of fresh vegetables increased. In general, those with a higher level of education had healthier food habits than those with low education. The educational gradient in analyzed food habits, except the use of vegetable oil, enlarged. A higher proportion of the rural population compared to urban reduced their usage of butter on bread. However, drinking of high-fat milk was most prevalent in the rural population. These results highlight the need for future food and nutrition policies and health promotion programmes targeting the whole population, particularly those with lower education and living in rural areas.

Abbreviations

NCD:

noncommunicable diseases

CVD:

cardiovascular diseases

SD:

standard deviation

OR:

odds ratio

CI:

confidence interval

RII:

relative index of inequality.

References

  1. Marmot M, Friel S, Bell R, Houweling TA, Taylor S: on behalf of Commission on Social Determinants of Health: Closing the gap in a generation: health equity through action on the social determinants of health. Lancet. 2008, 372 (9650): 1661-1669. 10.1016/S0140-6736(08)61690-6.

    Article  PubMed  Google Scholar 

  2. Mackenbach JP, Stirbu I, Roskam AJ, Schaap MM, Menvielle G, Leinsalu M: Kunst AE; European Union Working Group on Socioeconomic Inequalities in Health: Socioeconomic inequalities in health in 22 European countries. N Engl J Med. 2008, 358: 2468-2481. 10.1056/NEJMsa0707519.

    CAS  Article  PubMed  Google Scholar 

  3. Leinsalu M, Stirbu I, Vagero D, Kalediene R, Kovacs K, Wojtyniak B, Wroblewska W, Mackenbach JP, Kunst AE: Educational inequalities in mortality in four Eastern European countries: divergence in trends during the post-communist transition from 1990 to 2000. Int J Epidemiol. 2009, 38: 512-525.

    Article  PubMed  Google Scholar 

  4. WHO (World Health Organization): Diet, nutrition, and the prevention of chronic disease - Report of a joint WHO/FAO expert consultation. WHO technical report series. 2003

    Google Scholar 

  5. Stringhini S, Dugravot A, Shipley M, Goldberg M, Zins M, Kivimaki M, Marmot M, Sabia S, Singh-Manoux A: Health behaviours, socioeconomic status, and mortality: further analyses of the British Whitehall II and the French Gazel. Prospective Cohorts. PLoS Med. 2011, 8: e1000419-10.1371/journal.pmed.1000419.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Laaksonen M, Talala K, Martelin T, Rahkonen O, Roos E, Helakorpi S, Laatikainen T, Prattala R: Health behaviours as explanations for educational level differences in cardiovascular and all-cause mortality: a follow-up of 60 000 men and women over 23 years. Eur J Public Health. 2008, 18: 38-43. 10.1093/eurpub/ckm051.

    Article  PubMed  Google Scholar 

  7. Naska A, Fouskakis D, Oikonomou E, Almeida MD, Berg MA, Gedrich K, Moreiras O, Nelson M, Trygg K, Turrini A, Remaut AM, Volatier JL: Trichopoulou A; DAFNE participants: Dietary patterns and their socio-demographic determinants in 10 European countries: data from the DAFNE databank. Eur J Clin Nutr. 2006, 60: 181-190. 10.1038/sj.ejcn.1602284.

    CAS  Article  PubMed  Google Scholar 

  8. Boylan S, Lallukka T, Lahelma E, Pikhart H, Malyutina S, Pajak A, Kubinova R, Bragina O, Stepaniak U, Januszewska AG, Simonova G, Peasey A, Bobak M: Socio-economic circumstances and food habits in Eastern, Central and Western European populations. Public Health Nutr. 2011, 14: 678-687. 10.1017/S1368980010002570.

    Article  PubMed  Google Scholar 

  9. Prattala R, Hakala S, Roskam AJ, Roos E, Helmert U, Klumbiene J, Van Oyen H, Regidor E, Kunst AE: Association between educational level and vegetable use in nine European countries. Public Health Nutr. 2009, 12: 2174-2182. 10.1017/S136898000900559X.

    Article  PubMed  Google Scholar 

  10. Paalanen L, Prättälä R, Palosuo H, Helakorpi S, Laatikainen T: Socio-economic differences in the use of diary fat in Russian and Finish Karelia, 1994-2004. Int J Public Health. 2010, 55: 325-337. 10.1007/s00038-010-0136-5.

    Article  PubMed  Google Scholar 

  11. Social determinants of health behaviours: Finbalt health monitor 1998-2008. Edited by: Prattalla R, Helakorpi S, Sipila N, Sippola R, Saaksjarvi K. 2011, National Institute for Health and Welfare, Finland, Report 25/2011

    Google Scholar 

  12. Ginevicius R, Podvezko V: Evaluating the changes in economic and social development of Lithuanian counties by multiple criteria methods. Technological and Economic Development of Economy. 2009, 15: 418-436. 10.3846/1392-8619.2009.15.418-436.

    Article  Google Scholar 

  13. Kalediene R, Starkuviene S, Petrauskiene J: Inequalities in life expectancy by education and socioeconomic transition in Lithuania. Medicina. 2008, 44: 713-722.

    PubMed  Google Scholar 

  14. Statistics Lithuania. [http://www.stat.gov.lt/en/]

  15. Grabauskas V, Klumbiene J, Petekviciene J, Sakyte E, Kriaucioniene V, Veryga A: Health behaviour among Lithuanian adult population, 2010. Kaunas. 2011

    Google Scholar 

  16. Sergeant JC: Relative index of inequality: definition, estimation, and inference. Biostatistics. 2006, 7: 213-224.

    Article  PubMed  Google Scholar 

  17. Lithuanian Health Programme: Ministry of Health. Lithuania, Vilnius. 1998

    Google Scholar 

  18. State Food and Nutrition Strategy and Action Plan for 2003-2010 (in Lithuanian). [http://www3.lrs.lt/pls/inter3/dokpaieska.showdoc_bin?p_id=219949]

  19. Lithuanian Nutrition Recommendations. Vilnius. 2005, in Lithuanian

  20. Schmidhuber J, Traill WB: The changing structure of diets in the European Union in relation to healthy eating guidelines. Public Health Nutr. 2006, 5: 584-595.

    Google Scholar 

  21. Marques-Vidal P, Ravasco P, Dias CM, Camilo ME: Trends of food intake in Portugal, 1987-1999: results from the National Health Surveys. Eur J Clin Nutr. 2006, 60: 1414-2142. 10.1038/sj.ejcn.1602472.

    CAS  Article  PubMed  Google Scholar 

  22. Ribas-Barba L, Serra-Majem L, Salvador G, Castell C, Cabezas C, Salleras L, Plasencia A: Trends in dietary habits and food consumption in Catalonia, Spain (1992-2003). Public Health Nutr. 2007, 10: 1340-1353.

    Article  PubMed  Google Scholar 

  23. Dubuisson C, Lioret S, Touvier M, Dufour A, Calamassi-Tran G, Volatier JL, Lafay L: Trends in food and nutritional intakes of French adults from 1999 to 2007: results from the INCA surveys. Br J Nutr. 2010, 103: 1035-1048. 10.1017/S0007114509992625.

    CAS  Article  PubMed  Google Scholar 

  24. Sheehy T, Sharma S: The nutrition transition in the Republic of Ireland: trends in energy and nutrient supply from 1961 to 2007 using Food and Agriculture Organization food balance sheets. Br J Nutr. 2011, 106: 1078-1089. 10.1017/S0007114511001395.

    CAS  Article  PubMed  Google Scholar 

  25. Prattala R: Dietary changes in Finland - success stories and future challenges. Appetite. 2003, 41: 245-249. 10.1016/j.appet.2003.08.007.

    Article  PubMed  Google Scholar 

  26. Osler M, Heitmann BL, Schroll M: Ten year trends in the dietary habits of Danish men and women. Cohort and cross-sectional data. Eur J Clin Nutr. 1997, 51: 535-541. 10.1038/sj.ejcn.1600438.

    CAS  Article  PubMed  Google Scholar 

  27. Zatonski W, Campos H, Willett W: Rapid declines in coronary heart disease mortality in Eastern Europe are associated with increased consumption of oils rich in alpha-linolenic acid. Eur J Epidemiol. 2008, 23: 3-10. 10.1007/s10654-007-9195-1.

    CAS  Article  PubMed  Google Scholar 

  28. Paalanen L, Prattala R, Palosuo H, Laatikainen T: Socio-economic differences in the consumption of vegetables, fruit and berries in Russian and Finnish Karelia: 1992-2007. Eur J Public Health. 2011, 21: 35-42. 10.1093/eurpub/ckp233.

    Article  PubMed  Google Scholar 

  29. Pietinen P, Maannisto S, Valsta LM, Sarlio-Lahteenkorva S: Nutrition policy in Finland. Public Health Nutrition. 2010, 13: 901-906. 10.1017/S1368980010001072.

    Article  PubMed  Google Scholar 

  30. Kaernes U: Experiences with the Norwegian nutrition policy. Appetite. 2003, 41: 251-257. 10.1016/S0195-6663(03)00130-2.

    Article  PubMed  Google Scholar 

  31. Ramazauskiene V, Petkeviciene J, Klumbiene J, Kriaucioniene V, Sakytė E: Diet and serum lipids: changes over socio-economic transition period in Lithuanian rural population. BMC Public Health. 2011, 11: 447-10.1186/1471-2458-11-447.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kearney J: Food consumption trends and drivers. Phil Trans R Soc B. 2010, 365: 2793-2807. 10.1098/rstb.2010.0149.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Drewnowski A, Darmon N: Food choices and diet costs: an economic analysis. J Nutr. 2005, 135: 900-904.

    CAS  PubMed  Google Scholar 

  34. Prattala R, Paalanen L, Grinberga D, Helasoja V, Kasmel A, Petkeviciene J: Gender differences in the consumption of meat, fruit and vegetables are similar in Finland and the Baltic countries. Eur J Public Health. 2006, 17: 520-525. 10.1093/eurpub/ckl265.

    Article  PubMed  Google Scholar 

  35. Prattala RS, Groth MV, Oltesdorf US, Roos GM, Sekula W, Tuomainen HM: Use of butter and cheese in 10 European countries. A case of contrasting educational differences. Eur J Public Health. 2003, 13: 124-132. 10.1093/eurpub/13.2.124.

    Article  PubMed  Google Scholar 

  36. Petkeviciene J, Klumbiene J, Prattala R, Paalanen L, Pudule I, Kasmel A: Educational variations in the consumption of foods containing fat in Finland and the Baltic countries. Public Health Nutr. 2006, 10: 518-523.

    Google Scholar 

  37. Ovaskainen ML, Paturi M, Tapanainen H, Harald K: Educational differences in the diet of Finnish adults and the associations between education and the determinants and facilitators of dietary fat quality. Public Health Nutr. 2010, 13: 925-931. 10.1017/S1368980010001114.

    Article  PubMed  Google Scholar 

  38. Sanchez-Vllegas A, Martinez JA, Prattala R, Toledo E, Roos G, Martinez G: MA for the FAIR-97-3096 group: A systematic review of socioeconomic differences in food habits in Europe: consumption of cheese and milk. Eur J Clin Nutr. 2003, 57: 917-929. 10.1038/sj.ejcn.1601626.

    Article  Google Scholar 

  39. Ramazauskiene V: Nutrition and dyslipidemias in Lithuanian adult population in 1987-2007. PhD thesis. 2011, Lithuanian University of Health Sciences, Department of Public Health

    Google Scholar 

  40. Equity in health and health care in Lithuania: A situation analysis 1998: Report. 1999, WHO regional Office for Europe, Kaunas University of Medicine and National Board of Health Lithuania

    Google Scholar 

  41. Hulshof KF, Brussaard JH, Kruizinga AG, Telman J, Lowik MRH: Socioeconomic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr. 2003, 57: 128-137. 10.1038/sj.ejcn.1601503.

    CAS  Article  PubMed  Google Scholar 

  42. Helasoja V, Prattala R, Dregval L, Pudule I, Kasmel A: Late response and item nonresponse in the Finbalt Health Monitor Survey. Eur J Public Health. 2002, 12: 117-123. 10.1093/eurpub/12.2.117.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

The work on this manuscript was supported by a grant from the Research Council of Lithuania under grant agreement No LIG-03/2010 - National Research Programme, "Chronic non-communicable diseases".

Author information

Authors and Affiliations

  1. Medical Academy, Faculty of Public Health, Health Research Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania

    Vilma Kriaucioniene, Jurate Klumbiene, Janina Petkeviciene & Edita Sakyte

Authors
  1. Vilma Kriaucioniene
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jurate Klumbiene
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Janina Petkeviciene
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Edita Sakyte
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vilma Kriaucioniene.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

JP and JK made substantial contributions to conception and design of the manuscript. ES and VK carried out statistical analysis. VK was involved in drafting of the manuscript. All authors read and approved the final version of manuscript.

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Kriaucioniene, V., Klumbiene, J., Petkeviciene, J. et al. Time trends in social differences in nutrition habits of a Lithuanian population: 1994-2010. BMC Public Health 12, 218 (2012). https://doi.org/10.1186/1471-2458-12-218

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2458-12-218

Keywords

  • Food Habit
  • Fresh Vegetable
  • Nutrition Habit
  • Nutrition Policy
  • Educational Gradient

BMC Public Health

ISSN: 1471-2458

Contact us