Hostname: page-component-7c8c6479df-nwzlb Total loading time: 0 Render date: 2024-03-27T10:42:31.458Z Has data issue: false hasContentIssue false

Role of free school lunch in the associations between family-environmental factors and children's fruit and vegetable intake in four European countries

Published online by Cambridge University Press:  14 September 2012

Carola Ray*
Affiliation:
Folkhälsan Research Center, Paasikivenkatu 4, 00250 Helsinki, Finland Hjelt Institute, Department of Public Health, University of Helsinki, Helsinki, Finland
Eva Roos
Affiliation:
Folkhälsan Research Center, Paasikivenkatu 4, 00250 Helsinki, Finland Hjelt Institute, Department of Public Health, University of Helsinki, Helsinki, Finland
Johannes Brug
Affiliation:
EMGO Institute for Health and Care Research and Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
Isabel Behrendt
Affiliation:
Institute for Nutritional Sciences, Justus-Liebig-University of Giessen, Giessen, Germany
Bettina Ehrenblad
Affiliation:
Unit for Public Health Nutrition, Department for Biosciences and Nutrition at Novum, Karolinska Institutet, Stockholm, Sweden
Agneta Yngve
Affiliation:
Department of Health, Nutrition and Management, Oslo and Akershus University College, Lilleström, Norway
Saskia J te Velde
Affiliation:
EMGO Institute for Health and Care Research and Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
*
*Corresponding author: Email carola.ray@folkhalsan.fi
Rights & Permissions [Opens in a new window]

Abstract

Objective

To determine whether an association exists between different clusters of fruit- and vegetable-specific family-environmental factors and children's daily fruit and vegetable intake, and whether these associations differ between countries with different school lunch policies.

Design

Cross-sectional data from four European countries participating in the Pro Greens project in 2009. These countries have different school food policies: two serve free school lunches and two do not. Self-administered data were used. Food frequency questions served to assess fruit and vegetable intakes. The study assessed sixteen children-perceived family-environmental factors, which were clustered based on principal component analysis into five sum variables: fruit and vegetable encouragement; vegetable modelling, family routine and demand; fruit modelling; fruit and vegetable snacking practices; and fruit and vegetable allowing.

Setting

Schools in Finland, Germany, Sweden and the Netherlands.

Subjects

Schoolchildren aged 11 years (n 3317).

Results

Multilevel logistic regression analyses revealed positive associations between nearly all clustered family-environmental factors and daily fruit and vegetable intake. The study tested a moderation effect between family-environmental factors and school lunch policy. In five out of twenty models significant interactions occurred. In the stratified analyses, most of the associations between family-environmental factors and raw and cooked vegetable intake were stronger in Germany and the Netherlands, neither of which provided free school lunches.

Conclusions

Children reporting more fruit- and vegetable-promoting family-environmental factors had a more frequent intake of fruits and vegetables; the associations were stronger for vegetable intakes in countries providing no free school lunches, suggesting that parental involvement is crucial when schools offer no vegetables.

Type
HOT TOPIC – School food
Copyright
Copyright © The Authors 2012 

Ample fruit and vegetable intake is considered an important part of a healthy diet(Reference Hu1Reference Paolini, Sapone and Canistro3). Children's consumption of fruits and vegetables is generally much lower than what health authorities recommend(Reference Yngve, Wolf and Poortvliet4), and since adolescent fruit and vegetable intake tends to track into adulthood(Reference Mikkila, Rasanen and Raitakari5, Reference te Velde, Twisk and Brug6), improving fruit and vegetable intake among schoolchildren and adolescents is important. To guide interventions promoting fruits and vegetables, more knowledge is needed about potential changeable determinants and mediating variables that can be targeted in future intervention strategies. Research and behavioural theory suggest that potentially important determinants and mediators can be found in the family and home environment(Reference Brug, te Velde and Chinapaw7). In Davison and Birch's ecological model, for example, parenting style and family characteristics determine children's health behaviours(Reference Davison and Birch8).

Parenting practices are defined as practices related to specific behaviours through which parents perform their parental duties(Reference Darling and Steinberg9). Through parenting practices, parents aim to socialise their children. The practices are situation and context dependent, and several studies have found that food-related parenting practices associate with children's daily intakes of fruits and vegetables(Reference Bere and Klepp10Reference Young, Fors and Hayes14), but the evidence for different, more specific aspects of food-related parenting practices is mixed(Reference Vereecken, Van Damme and Maes15). Research has found that more obligatory rules, such as parents obliging their children to eat vegetables and requiring their children to taste the vegetables they have prepared, correlate positively with children's vegetable intake(Reference Vereecken, Van Damme and Maes15), whereas verbal parental encouragement to eat fruits and vegetables has shown no clear association with fruit and vegetable intake(Reference Vereecken, Legiest and De Bourdeaudhuij13, Reference Monge-Rojas, Smith-Castro and Colon-Ramos16). Obtaining an overview of the associations between parenting practices and children's fruit and vegetable intake is challenging, since various studies have operationalised the concept of parenting practices differently. The present study therefore focuses on parenting practices as well as on other family-environmental factors associated with children's fruit and vegetable intake, such as parental modelling and facilitation (i.e. parents cutting up fruits or vegetables as a snack). Previous studies have found positive correlations between parents’ fruit and vegetable intakes, parental modelling and those of their children(Reference Bere and Klepp10, Reference Vereecken, Legiest and De Bourdeaudhuij13, Reference Bauer, Neumark-Sztainer and Fulkerson17Reference Kristjansdottir, De Bourdeaudhuij and Klepp21). However, the fact that previous studies have used different methods to assess parents’ and/or children's intake has complicated interpretations of the results. Although most of the studies separately assessed parents’ and children's intake levels, some studies used child reports to assess parents’ intake(Reference Vereecken, Legiest and De Bourdeaudhuij13, Reference Vereecken, Van Damme and Maes15, Reference Bauer, Neumark-Sztainer and Fulkerson17, Reference Kristjansdottir, De Bourdeaudhuij and Klepp21). One study assessed only mothers’ and their daughters’ intake, which correlated positively(Reference Bauer, Neumark-Sztainer and Fulkerson17). Additionally, eating dinner together can provide parents the opportunity to actively serve as a parental role model, and eating together has been associated with children's fruit and vegetable intake(Reference Bauer, Neumark-Sztainer and Fulkerson17, Reference Burgess-Champoux, Larson and Neumark-Sztainer22Reference Videon and Manning25).

Another reason for the mixed findings on the association between family-environmental factors and fruit and vegetable intake could be that different factors influence intake levels due to cross-country differences in food culture and practices(Reference De Bourdeaudhuij, te Velde and Brug11, Reference Kristjansdottir, De Bourdeaudhuij and Klepp21, Reference Brug, Tak and te Velde26). Many differences in such practices, such as how vegetables are prepared and the context in which they are eaten, exist in European countries, which may influence family-environmental factors; alternatively, family-environmental factors may affect intake differently depending on the same nationally or culturally appropriate practices. One such country difference in food practices that may be of crucial importance is school meal practices. Finland and Sweden, two Nordic countries which are geographically and historically close to each other, not only share similar food cultures, but also have similar school lunch programmes. Both countries serve a free hot meal that complies with nutritional recommendations for lunch every school day in all schools(27, 28). The school lunch is a part of the curriculum in both countries and all pupils must participate in the meal, which is served with vegetables; neither country serves fruit on a daily basis in schools. Most other European countries provide no obligatory cooked school lunch, although the food culture in Northern Europe is closer to the food culture of the Nordic countries. The food cultures in the Netherlands and Germany are generally quite similar, and their school lunch systems have much in common. In the Netherlands, many children go home to eat lunch or bring their own lunch from home, which typically consists of sandwiches; purchasing food at school is not an option. Nor does Germany provide free lunches, although it is usually possible to purchase food at school; the assortment of food available in the school canteens varies between schools and may constitute a full meal that includes vegetables, fast food, salads and more. German children may also bring food from home for lunch, and some go home for lunch.

Differences in school lunch practices and opportunities may not only influence children's fruit and vegetable intakes, but may also modify the associations of family-environmental factors with children's fruit and vegetable consumption. That is, for children who must eat a school lunch that includes vegetables, parental influences may be less crucial, since the vegetables in the school lunch will be part of the children's daily intakes regardless of family-environmental factors. However, the potential moderating effect of providing school lunches on family-environmental factors, namely the intake relationship, remains unexplored.

Therefore, the current study first aims to explore the association between family-environmental factors and children's fruit and vegetable intakes across four countries in Europe: Finland, Germany, Sweden and the Netherlands. Second, the study aims to determine whether such associations differ between countries with different school-based food practices, namely those that provide a free lunch with vegetables (Sweden, Finland) and those that do not (Germany, the Netherlands). The hypothesis predicts that fruit- and vegetable-specific family-environmental factors are significantly positively associated with children's intakes and that these associations are stronger in the two countries where children receive no free school lunches.

Methods

Procedure

The Pro Greens study was conducted in ten European countries in 2009 among a total of 8736 children. The present study uses a sub-sample consisting of data from two countries (Finland and Sweden) that offer free school lunches and data from two countries that offer no lunch at school (Germany, the Netherlands). All four countries’ foods cultures resemble each other, and their fruit and vegetable intakes are somewhat similar(Reference Yngve, Wolf and Poortvliet4, Reference Hoppu, Lehtisalo and Tapanainen29). Schools in Finland, Germany and Sweden were recruited regionally, whereas schools in the Netherlands were recruited nationwide(Reference Fischer, Brug and Tak30). All participating schools received a letter or a telephone call introducing the project and enquiring about participation. In Finland, all nineteen schools invited to participate accepted (participation rate 100 %); in Sweden, twenty-seven of sixty participated (45 %); and in Germany, fourteen out of forty-five (31 %). In the Netherlands, fifty-three of the 414 schools sampled initially agreed to participate (13 %), but only forty-five schools actually participated due to practical reasons such as logistical and time constraints. The procedure for collecting data has been performed before and entailed sending letters to teachers(Reference Brug, Yngve and Klepp31, Reference Klepp, Perez-Rodrigo and De Bourdeaudhuij32). The letters included questionnaires with instructions to the teachers about how to collect the data. The children completed their questionnaire during a lesson and took a questionnaire home for one of their parents to complete. The teachers returned all the questionnaires in closed envelopes to the national study groups, who in turn input the data into a database according to an agreed data protocol.

Participants

Most of the children recruited were born in 1998 and turned 11 years old in 2009. Due to practical reasons and differences in educational systems, about half of the children recruited in Finland turned 12 years old in 2009. In Finland, 934 of the 1123 children invited agreed to participate; the response rate was 83·2 %. The Finnish children attended a Swedish-speaking school on the south or west coast of Finland. The sample was socio-economically representative of the area. In Germany, 816 children agreed to participate (response rate 62·8 %). The German children lived in the state of Hesse, attended a public school and were of lower socio-economic status than the general German population. In the Netherlands, 589 children participated in the study (response rate 56·3 %). The Dutch children were recruited from schools randomly selected from a list of all schools in the Netherlands. The participating schools represented different regions of the Netherlands, and the proportion of mothers with a high level of education was similar to that of the general Dutch population. For this reason, the Dutch sample was considered representative of the Dutch population. In Sweden, 841 children participated in the study (response rate 68·2 %). The Swedish children lived in the Stockholm area and the sample was socio-economically representative of the Stockholm region.

All relevant medical ethics committees in each participating country approved the Pro Greens study protocol in the autumn of 2008. In Finland: the Ethical Committee of the Department of Public Health of University of Helsinki; in Germany: the Ethical Committee of the Medical Faculty of the Justus-Liebig-University Giessen; in the Netherlands: the Medical Ethics Committee of the VU University Medical Center, Amsterdam; in Sweden: the Regional Board of the Ethical Review Board at the Karolinska Institute in Stockholm.

All parents and their children agreed to participate by signing a consent form.

Measures

Fruit and vegetable intake

Fruit and vegetable intakes were assessed using the food frequency questions developed in the Pro Children study(Reference Brug, Yngve and Klepp31, Reference Klepp, Perez-Rodrigo and De Bourdeaudhuij32). Daily fruit and vegetable intake was enquired as follows with four separate questions: ‘How often do you usually eat: 1. fresh fruits, 2. salads or grated vegetables, 3. raw vegetables or 4. cooked vegetables?’ Answer options ranged over an eight-point scale (‘never’, ‘less than 1 d/week’, ‘1 d/week’, ‘2–4 d/week’, ‘5–6 d/week’, ‘every day, once daily’, ‘every day, twice daily’ and ‘every day, more than twice daily’). The food frequency questions proved to be fairly accurate in ranking children's fruit and vegetable intake(Reference Haraldsdottir, Thorsdottir and de Almeida33). The children's intake variables of fruits, salads and grated vegetables, raw vegetables and cooked vegetables were all separately dichotomised to ‘not daily’ and ‘daily’ intake. The variables were not normally distributed, so it was methodologically more correct to dichotomise the fruit and vegetable variables. Also, this solution was chosen for practical reasons: each country's recommendations for fruit and vegetable intake differed and these variables included each country's recommendations. Using dichotomous variables also made it easier to interpret the results and to compare them with those of previous studies.

Family-environmental factors

Family-environmental factors as the children perceived them were assessed with questionnaire items developed for the Pro Children study(Reference De Bourdeaudhuij, Klepp and Due34). The sixteen family-environmental factors included items about parental modelling, parental encouragement, family routine, family rules and parental facilitation (Table 1). The Pro Children study had already tested the reliability and validity of the questionnaire items on 10- to 11-year-old children. The Pro Children questionnaire seemed reliable and valid in assessing determinants for children's fruit and vegetable intake(Reference De Bourdeaudhuij, Klepp and Due34).

Table 1 Perceived family-environmental items and their rotated factor loadings in the rotated component matrix (n 2913), Pro Greens project, 2009

Extraction method: principal component analysis; rotation method: varimax.

Answer options for the first ten questions: ‘I fully agree’, ‘I agree’, ‘I neither agree nor disagree’, ‘I disagree’ and ‘I don't have or don't see my mother/father’. Answer options for the last six questions: ‘yes, every day’, ‘yes, most days’, ‘sometimes’, ‘seldom’ and ‘never’.

A bold value indicates that the item is included in the index.

Confounders

Children's gender and age were included in the analyses as possible confounders. Children reported their gender as well as the month and year in which they were born. Each country provided data on the month and year in which the data were collected, which served as the basis for calculating the children's ages. The parental questionnaire enquired about the child's mother's highest level of education; this information was then transferred to a dichotomous variable, thereby distinguishing children with mothers who reported holding a high school, a bachelor's or a master's degree from those with mothers with lower levels of education.

Statistical analyses

Descriptive statistics, such as means and proportions, served to describe the main variables. Medians and interquartile ranges (25th percentile–75th percentile, P25–P75) were used for skewed data. Variance analysis was used to test differences in mean age between country and gender, and the χ 2 test was used to test differences in daily fruit and vegetable intake between country and gender. The Kruskall–Wallis U test and the Mann–Whitney U test were used to test differences by country and gender for skewed variables (e.g. family-environmental factors).

To group family-environmental factors, a principal component analysis was conducted and five dimensions with eigenvalues exceeding 1 were found (Table 1). Based on the eigenvalues, five indices were defined, including all practices that scored over 0·5 in the rotated component matrix (varimax). New scores for the five indices were formed by summing up the answer options (range 1–5); thereafter, the new scores were divided by the number of variables included in that particular index. Based on the content of the indices, the five dimensions were as follows: (i) fruit and vegetable encouragement (FV encouragement); (ii) vegetable modelling, family routine and demand to eat vegetables (V modelling, family routine and demand); (iii) fruit modelling (F modelling); (iv) facilitation of fruit and vegetable eating and fruit family routine (FV snacking practices); and (v) allowing the child to eat fruits and vegetables (FV allowing; see Table 1).

Logistic multilevel regression analysis served to test the association between the sum variables of the five independent family-environmental factors and the dependent daily fruit and vegetable intake variables in the whole sample. Multilevel analyses were conducted to take into account the fact that children were clustered within schools(Reference Twisk35). All analyses were adjusted for the gender and age of the child, the mother's highest level of education and the school lunch policy group.

To test whether the school lunch policy group, i.e. the distinction between countries that do (Sweden, Finland) or do not (Germany, the Netherlands) provide school lunches that contain vegetables, modified the associations between family-environmental factors and intakes, further analyses included interaction terms (family-environmental factor × school lunch policy group). If interaction terms approached significance (P value < 0·1), stratified analyses by school lunch policy group followed. Results from the multilevel logistic regression analyses were reported as odd ratios and 95 % confidence intervals.

The analyses were performed using the statistical software packages PASW Statistics 18·0 (2010) and MLwiN version 2·22(Reference Rasbash, Charlton and Browne36).

Results

Sample characteristics

The mean age in the study population was 11·4 years, varying between 11·3 and 11·6 years in the four countries (Table 2). The proportions of highly educated mothers were higher in Sweden and Finland, with about half of the mothers in the more highly educated group, than in the Netherlands and Germany.

Table 2 Description of the population studied and variables used, Pro Greens project, 2009

P25–P75, 25th percentile–75th percentile.

Statistical significance of the difference between countries or genders: *P < 0·05, **P < 0·01, ***P < 0·001.

†Tested by variance analysis.

χ 2 test.

§Kruskall–Wallis test (country differences).

∥Mann–Whitney U test (gender differences).

Intake levels

Some differences in daily fruit intakes were observed between the countries, with German children reporting the highest and Finnish children the lowest proportion of daily fruit intake (Table 2). Further differences were found in vegetable intakes, with Finnish children reporting the most frequent intake of salads, Swedish children being the most likely to report daily raw vegetable intake and Dutch children being the most likely to report eating cooked vegetables daily.

Family-environmental factors

FV encouragement was reportedly lower in Finland than in the other countries (Table 2). Dutch children reported more V modelling, family routine and demand, whereas F modelling was lowest in Sweden and Finland; FV snacking practices were more common among children in the Netherlands. FV allowing was high in all countries, but the lowest in the Netherlands.

Associations between family-environmental factors and fruit and vegetable intake

In the total sample, nearly all family-environmental factors showed a significant positive association with fruit and vegetable outcomes (Table 3). The only exceptions were the two associations between FV allowing and daily fruit intake and daily cooked vegetable intake.

Table 3 Associations between family-environmental factors and children's daily fruit and vegetable intake, Pro Greens project, 2009

Adjusted for children's gender and age, mother's education level, and school lunch policy variable.

Odds ratios derived from multilevel logistic regression analyses, 95 % confidence interval and P values.

†Results from testing interaction terms in multilevel logistic regression analyses. Presented are the significance levels of the interaction terms between family-environmental factors and school lunch policy groups (Germany and the Netherlands offer no free school lunches, whereas Finland and Sweden do).

Interactions and stratified analyses

Of the twenty interactions tested, five suggested a possibly significant modification (Table 3). Stratified analyses revealed stronger associations between family-environmental factors and intake levels in the group of Dutch and German children (Table 4). Only the association between V modelling, family routine and demand and intake of raw vegetables was stronger in the group of Finnish and Swedish children.

Table 4 Associations between family-environmental factors and daily intake of vegetables by country†, Pro Greens project, 2009

Adjusted for gender and age of child, and mother's education level.

Odds ratios derived from multilevel logistic regression analyses, 95 % confidence intervals and P values.

†Stratified analyses were carried out based on the interactions found (see Table 3) between family-environmental factors and whether the country serves a free school lunch (Germany and the Netherlands offer no free school lunches, whereas Finland and Sweden do).

Discussion

The present study showed that family-environmental factors – perceived modelling, encouragement, parental demand, how much parents allow their children to eat fruits and vegetables, and family routines of eating fruits and vegetables together as school children perceive and report these factors – are associated with daily intake of fruits and vegetables in four countries in Northern and Central Europe. Some evidence supports the hypothesis that family-environmental factors are more strongly related to children's fruit and vegetable intake in those countries which serve no free school lunch.

Daily fruit intake was more common in Germany and the Netherlands than in the Nordic countries. The frequencies of daily fruit intake were in line with data from earlier studies conducted in these countries(Reference Yngve, Wolf and Poortvliet4, Reference Hoppu, Lehtisalo and Tapanainen29, Reference Wind, de Bourdeaudhuij and te Velde37). Children in the Nordic countries more often reported that their daily intake of vegetables included salads, grated vegetables or raw vegetables, whereas a higher proportion of Dutch children reported a daily intake of cooked vegetables. This may stem from differences in food practices between the countries; for example, cooked vegetables are a very common part of dinner in the Netherlands, whereas raw vegetables and salads are common school lunch items in the Nordic countries.

Previous studies have shown that children who receive a compulsory free school lunch that complies with nutritional recommendations consume a substantial part of their daily vegetable intake at this lunch(Reference Hoppu, Lehtisalo and Tapanainen29, Reference Haapalahti, Mykkanen and Tikkanen38, Reference Robinson-O'Brien, Burgess-Champoux and Haines39) and have higher vegetable intakes in general(Reference Yngve, Wolf and Poortvliet4). A Finnish regional study showed that 46 % of children aged 11 years reported eating vegetables daily during the school lunch(Reference Haapalahti, Mykkanen and Tikkanen38). A recently published study from Finland showed that eating vegetables at school is related to what is served at home. Those children who ate a balanced school lunch (including a main course, vegetables and bread) also ate healthier at home; vegetables were served at every family dinner and fruits were available daily(Reference Tilles-Tirkkonen, Pentikainen and Lappi40). On the other hand, children who must bring their lunch to school may be more likely to bring fruit as a part of their lunch. In the present study, the German and Dutch children had a more frequent daily intake of fruits, probably due to frequent ‘fruit breaks’ during morning breaks in school(Reference Tak, Te Velde and Singh41). In Finland and Sweden, children rarely bring anything to eat to school and fruit breaks in the mornings are rare.

The study showed significant associations between nearly all of the five fruit- and vegetable-specific clusters of family-environmental factors and children's daily fruit and vegetable intake. The present study is rather unique in that it includes a wide range of parenting practices and other family-environmental factors and shows consistent positive associations with intakes. To our knowledge, not all previous studies have shown consistent associations(Reference De Bourdeaudhuij, te Velde and Brug11, Reference Haerens, Craeynest and Deforche12, Reference Young, Fors and Hayes14). Overall, the interpretation of these study results and the comparison between studies examining similar relationships in the field of parenting practices and family-environmental factors are challenging due to variation in the terminology and methods used(Reference Monge-Rojas, Smith-Castro and Colon-Ramos16, Reference Dave, Evans and Condrasky42Reference Robinson-O'Brien, Neumark-Sztainer and Hannan44). To our knowledge, at least two studies have reported no association between verbal parental encouragement and fruit and vegetable intake(Reference Vereecken, Legiest and De Bourdeaudhuij13, Reference Monge-Rojas, Smith-Castro and Colon-Ramos16), whereas the Pro Children study showed associations between maternal or paternal verbal vegetable encouragement and vegetable intake, but no associations between verbal encouragement and fruit intake(Reference De Bourdeaudhuij, te Velde and Brug11). In contrast to previous studies, the current study used a sum variable consisting of both maternal and paternal encouragement for both fruits and vegetables in the same variable. Nevertheless, nearly all outcomes showed associations, with one exception: no association was found between verbal encouragement and intake of cooked vegetables in the Nordic countries.

The hypothesis predicted that the importance of family-environmental factors would be greater in countries where children received no free school lunch; when children received vegetables in the school lunches, the perceived family-environmental factors at home would presumably have less influence. The stratified analyses do not consistently support that hypothesis, however. In the Nordic countries the association between vegetable modelling, family routine and demand and intake of raw vegetables was stronger than in the German and Dutch children. This contrary finding may stem from how children interpreted the questions when examining their parents as models for ‘vegetable’ eating, how parents demand that their children eat ‘vegetables’, whether families eat ‘vegetables’ together and what children used as a reference for the word ‘vegetables’. Because eating raw vegetables is quite common in the Nordic countries, the children from Finland and Sweden may have interpreted the questions as referring to ‘raw vegetables’, whereas the Dutch and German children may have interpreted the question as referring to ‘cooked vegetables’, since eating cooked vegetables is quite common in Germany and the Netherlands. Nevertheless, some evidence showed that, in line with the hypothesis, family-environmental factors affecting vegetable intakes are more important in Germany and the Netherlands. The stratified analyses revealed, for example, a much stronger association between parents as models for vegetable intake, family routine and demand to eat vegetables, and children's daily intake of cooked vegetables in Germany and the Netherlands than in Finland and Sweden.

The present study has certain limitations. As in all self-report studies, children may have provided socially desirable answers about family-environmental factors or fruit and vegetable intake, which in turn may have influenced the associations. Data were collected regionally in Finland, Germany and Sweden, so the results may not be representative of each country as a whole. Furthermore, the response rate at the school level was low in the Netherlands, thereby possibly reducing the generalisability of the results. However, the intake frequency levels were comparable to those of previous studies(Reference Yngve, Wolf and Poortvliet4, Reference Wind, de Bourdeaudhuij and te Velde37). Despite its limitations, the study has several strengths, including its use of the same questionnaire and study protocol in all four countries. Moreover, the questionnaire used in the current study was previously carefully developed in the Pro Children study in order to assess children's fruit and vegetable intake and personal, social and environmental determinants for the intake(Reference Haraldsdottir, Thorsdottir and de Almeida33, Reference De Bourdeaudhuij, Klepp and Due34). The food frequency questions, like the questions about determinants, were evaluated for their validity and reliability, and showed satisfactory ability to rank children according to their usual intake(Reference Haraldsdottir, Thorsdottir and de Almeida33) as well as satisfactory construct validity and good test–retest reliability(Reference De Bourdeaudhuij, Klepp and Due34). In addition, the overall response rate was quite high, especially at the child level, and the sample consisted of data from several European countries.

The results clearly showed that most family-environmental factors, as clusters, are associated with children's daily fruit and vegetable intake. To date, no other studies about associations between family-environmental factors and fruit and vegetable intake have assessed family-environmental factors as different sum variables. Consequently, directly comparing these results with those of previous studies is impossible. However, the Pro Children study, which examined relationships between the same individual family-environmental factors and children's fruit and vegetables intake, showed significant associations(Reference De Bourdeaudhuij, te Velde and Brug11, Reference Brug, Tak and te Velde26). Exceptions were the associations between parental encouragement and parental allowing, which showed no associations with children's daily fruit intake.

Grouping family-environmental factors as done herein enabled the examination of a more general pattern in family-environmental factors and their associations with fruit and vegetable intakes. This knowledge may prove useful in promoting fruit and vegetable intake among schoolchildren.

Conclusions

The present study showed that children in four countries in Northern and Central Europe who reported more family-environmental factors that promoted fruit and vegetable intake had a more frequent intake of both fruits and vegetables. Furthermore, family-environmental factors were somewhat more strongly associated with children's vegetable intakes in those countries which served no free school lunch. Still, in practical health promotion, the advice to policy makers is to provide healthy school meals to all children. Public health nutritionists should take into consideration family-environmental factors regarding fruits and vegetables, regardless of whether free school lunches are provided, and include parents in nutritional interventions.

Acknowledgements

Sources of funding: The Pro Greens project has been made possible with the financial support of the Programme of Community Action in the Field of Public Health 2003–2008 of the European Commission. Conflicts of interest: All authors have reviewed and agreed to the content of the revised manuscript and the authors have no competing interests. Authors’ contributions: C.R. designed the study, carried out the literature review, analysed the data, interpreted the analysis and results, and drafted the manuscript. E.R. designed the study, interpreted the analysis and results, and commented on the draft of the manuscript. J.B. designed the study, interpreted the analysis and results, and commented on the draft of the manuscript. I.B. provided data about German circumstances and commented actively on the draft of the manuscript. B.E. provided data about Swedish circumstances and commented actively on the draft of the manuscript. A.Y. was responsible for the Pro Greens project, interpreted the results and commented on the draft of the manuscript. S.J.t.V. played an active role in the literature review, analysis of the data, interpreting the analysis and results, and commenting on the draft of the manuscript. All authors have read and approved the final manuscript. Acknowledgements: The authors thank the participating children, their parents, the schools and all the staff who have worked on the Pro Greens project.

References

1.Hu, FB (2003) Plant-based foods and prevention of cardiovascular disease: an overview. Am J Clin Nutr 78, 3 Suppl., 544S551S.CrossRefGoogle ScholarPubMed
2.Joshipura, KJ, Ascherio, A, Manson, JEet al. (1999) Fruit and vegetable intake in relation to risk of ischemic stroke. JAMA 282, 12331239.CrossRefGoogle ScholarPubMed
3.Paolini, M, Sapone, A, Canistro, Det al. (2003) Diet and risk of cancer. Lancet 361, 257258.CrossRefGoogle ScholarPubMed
4.Yngve, A, Wolf, A, Poortvliet, Eet al. (2005) Fruit and vegetable intake in a sample of 11-year-old children in 9 European countries: The Pro Children Cross-sectional Survey. Ann Nutr Metab 49, 236245.CrossRefGoogle Scholar
5.Mikkila, V, Rasanen, L, Raitakari, OTet al. (2004) Longitudinal changes in diet from childhood into adulthood with respect to risk of cardiovascular diseases: the Cardiovascular Risk in Young Finns Study. Eur J Clin Nutr 58, 10381045.CrossRefGoogle ScholarPubMed
6.te Velde, SJ, Twisk, JW & Brug, J (2007) Tracking of fruit and vegetable consumption from adolescence into adulthood and its longitudinal association with overweight. Br J Nutr 98, 431438.CrossRefGoogle ScholarPubMed
7.Brug, J, te Velde, SJ, Chinapaw, MJet al. (2010) Evidence-based development of school-based and family-involved prevention of overweight across Europe: the ENERGY-project's design and conceptual framework. BMC Public Health 10, 276.CrossRefGoogle ScholarPubMed
8.Davison, KK & Birch, LL (2001) Childhood overweight: a contextual model and recommendations for future research. Obes Rev 2, 159171.CrossRefGoogle ScholarPubMed
9.Darling, N & Steinberg, L (1993) Parenting styles as a context: an integrative model. Psychol Bull 113, 487496.CrossRefGoogle Scholar
10.Bere, E & Klepp, KI (2004) Correlates of fruit and vegetable intake among Norwegian schoolchildren: parental and self-reports. Public Health Nutr 7, 991998.CrossRefGoogle ScholarPubMed
11.De Bourdeaudhuij, I, te Velde, S, Brug, Jet al. (2008) Personal, social and environmental predictors of daily fruit and vegetable intake in 11-year-old children in nine European countries. Eur J Clin Nutr 62, 834841.CrossRefGoogle ScholarPubMed
12.Haerens, L, Craeynest, M, Deforche, Bet al. (2008) The contribution of psychosocial and home environmental factors in explaining eating behaviours in adolescents. Eur J Clin Nutr 62, 5159.CrossRefGoogle ScholarPubMed
13.Vereecken, C, Legiest, E, De Bourdeaudhuij, Iet al. (2009) Associations between general parenting styles and specific food-related parenting practices and children's food consumption. Am J Health Promot 23, 233240.CrossRefGoogle ScholarPubMed
14.Young, EM, Fors, SW & Hayes, DM (2004) Associations between perceived parent behaviors and middle school student fruit and vegetable consumption. J Nutr Educ Behav 36, 28.CrossRefGoogle ScholarPubMed
15.Vereecken, CA, Van Damme, W & Maes, L (2005) Measuring attitudes, self-efficacy, and social and environmental influences on fruit and vegetable consumption of 11- and 12-year-old children: reliability and validity. J Am Diet Assoc 105, 257261.CrossRefGoogle ScholarPubMed
16.Monge-Rojas, R, Smith-Castro, V, Colon-Ramos, Uet al. (2010) Parental feeding styles and adolescents’ healthy eating habits. Structure and correlates of a Costa Rican questionnaire. Appetite 55, 253262.CrossRefGoogle Scholar
17.Bauer, KW, Neumark-Sztainer, D, Fulkerson, JAet al. (2011) Familial correlates of adolescent girls’ physical activity, television use, dietary intake, weight, and body composition. Int J Behav Nutr Phys Act 8, 25.CrossRefGoogle ScholarPubMed
18.Beydoun, MA & Wang, Y (2009) Parent-child dietary intake resemblance in the United States: evidence from a large representative survey. Soc Sci Med 68, 21372144.CrossRefGoogle ScholarPubMed
19.Bjelland, M, Lien, N, Grydeland, Met al. (2011) Intakes and perceived home availability of sugar-sweetened beverages, fruit and vegetables as reported by mothers, fathers and adolescents in the HEIA (HEalth In Adolescents) study. Public Health Nutr (Epublication ahead of print version).CrossRefGoogle ScholarPubMed
20.Elfhag, K, Tholin, S & Rasmussen, F (2008) Consumption of fruit, vegetables, sweets and soft drinks are associated with psychological dimensions of eating behaviour in parents and their 12-year-old children. Public Health Nutr 11, 914923.CrossRefGoogle Scholar
21.Kristjansdottir, AG, De Bourdeaudhuij, I, Klepp, KIet al. (2009) Children's and parents’ perceptions of the determinants of children's fruit and vegetable intake in a low-intake population. Public Health Nutr 12, 12241233.CrossRefGoogle Scholar
22.Burgess-Champoux, TL, Larson, N, Neumark-Sztainer, Det al. (2009) Are family meal patterns associated with overall diet quality during the transition from early to middle adolescence? J Nutr Educ Behav 41, 7986.CrossRefGoogle ScholarPubMed
23.Gillman, MW, Rifas-Shiman, SL, Frazier, ALet al. (2000) Family dinner and diet quality among older children and adolescents. Arch Fam Med 9, 235240.CrossRefGoogle ScholarPubMed
24.Larson, NI, Neumark-Sztainer, D, Hannan, PJet al. (2007) Family meals during adolescence are associated with higher diet quality and healthful meal patterns during young adulthood. J Am Diet Assoc 107, 15021510.CrossRefGoogle ScholarPubMed
25.Videon, TM & Manning, CK (2003) Influences on adolescent eating patterns: the importance of family meals. J Adolesc Health 32, 365373.CrossRefGoogle ScholarPubMed
26.Brug, J, Tak, NI, te Velde, SJet al. (2008) Taste preferences, liking and other factors related to fruit and vegetable intakes among schoolchildren: results from observational studies. Br J Nutr 99, Suppl. 1, S7S14.CrossRefGoogle ScholarPubMed
27.National Food Agency (2007) Bra mat i skolan (Advice for good food in the school). http://www.slv.se/upload/dokument/mat/mat_skola/Bra_mat_i_skolan_2007.pdf (accessed December 2012).Google Scholar
28.National Nutrition Council (2008) Kouluruokailusuositus (Dietary Guidelines for School Meals), 1st ed. Helsinki: Savion Kirjapaino Oy.Google Scholar
29.Hoppu, U, Lehtisalo, J, Tapanainen, Het al. (2010) Dietary habits and nutrient intake of Finnish adolescents. Public Health Nutr 13, 965972.CrossRefGoogle ScholarPubMed
30.Fischer, C, Brug, J, Tak, NIet al. (2011) Differences in fruit and vegetable intake and their determinants among 11-year-old schoolchildren between 2003 and 2009. Int J Behav Nutr Phys Act 8, 141.CrossRefGoogle ScholarPubMed
31.Brug, J, Yngve, A & Klepp, KI (2005) The Pro Children study: conceptualization, baseline results and intervention development of a European effort to promote fruit and vegetable consumption in schoolchildren. Ann Nutr Metab 49, 209211.CrossRefGoogle ScholarPubMed
32.Klepp, KI, Perez-Rodrigo, C, De Bourdeaudhuij, Iet al. (2005) Promoting fruit and vegetable consumption among European schoolchildren: rationale, conceptualization and design of the pro children project. Ann Nutr Metab 49, 212220.CrossRefGoogle ScholarPubMed
33.Haraldsdottir, J, Thorsdottir, I, de Almeida, MDet al. (2005) Validity and reproducibility of a precoded questionnaire to assess fruit and vegetable intake in European 11- to 12-year-old schoolchildren. Ann Nutr Metab 49, 221227.CrossRefGoogle ScholarPubMed
34.De Bourdeaudhuij, I, Klepp, KI, Due, Pet al. (2005) Reliability and validity of a questionnaire to measure personal, social and environmental correlates of fruit and vegetable intake in 10–11-year-old children in five European countries. Public Health Nutr 8, 189200.CrossRefGoogle ScholarPubMed
35.Twisk, JW (2006) Applied Multilevel Analysis: A Practical Guide, 1st ed. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
36.Rasbash, J, Charlton, C, Browne, WJet al. (2009) MLwiN version 2.1. Bristol: Centre for Multilevel Modelling, University of Bristol.Google Scholar
37.Wind, M, de Bourdeaudhuij, I, te Velde, SJet al. (2006) Correlates of fruit and vegetable consumption among 11-year-old Belgian-Flemish and Dutch schoolchildren. J Nutr Educ Behav 38, 211221.CrossRefGoogle ScholarPubMed
38.Haapalahti, M, Mykkanen, H, Tikkanen, Set al. (2003) Meal patterns and food use in 10- to 11-year-old Finnish children. Public Health Nutr 6, 365370.CrossRefGoogle ScholarPubMed
39.Robinson-O'Brien, R, Burgess-Champoux, T, Haines, Jet al. (2010) Associations between school meals offered through the National School Lunch Program and the School Breakfast Program and fruit and vegetable intake among ethnically diverse, low-income children. J Sch Health 80, 487492.CrossRefGoogle ScholarPubMed
40.Tilles-Tirkkonen, T, Pentikainen, S, Lappi, Jet al. (2011) The quality of school lunch consumed reflects overall eating patterns in 11–16-year-old schoolchildren in Finland. Public Health Nutr (Epublication ahead of print version).CrossRefGoogle ScholarPubMed
41.Tak, NI, Te Velde, SJ, Singh, ASet al. (2010) The effects of a fruit and vegetable promotion intervention on unhealthy snacks during mid-morning school breaks: results of the Dutch Schoolgruiten Project. J Hum Nutr Diet 23, 609615.CrossRefGoogle ScholarPubMed
42.Dave, JM, Evans, AE, Condrasky, MDet al. (2012) Parent-reported social support for child's fruit and vegetable intake: validity of measures. J Nutr Educ Behav 44, 132139.CrossRefGoogle ScholarPubMed
43.Rasmussen, M, Krolner, R, Klepp, KIet al. (2006) Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part I: quantitative studies. Int J Behav Nutr Phys Act 3, 22.CrossRefGoogle ScholarPubMed
44.Robinson-O'Brien, R, Neumark-Sztainer, D, Hannan, PJet al. (2009) Fruits and vegetables at home: child and parent perceptions. J Nutr Educ Behav 41, 360364.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Perceived family-environmental items and their rotated factor loadings in the rotated component matrix (n 2913), Pro Greens project, 2009

Figure 1

Table 2 Description of the population studied and variables used, Pro Greens project, 2009

Figure 2

Table 3 Associations between family-environmental factors and children's daily fruit and vegetable intake, Pro Greens project, 2009

Figure 3

Table 4 Associations between family-environmental factors and daily intake of vegetables by country†, Pro Greens project, 2009