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Promoting health equity in European children: Design and methodology of the prospective EPHE (Epode for the Promotion of Health Equity) evaluation study
© Mantziki et al.; licensee BioMed Central Ltd. 2014
Received: 12 February 2014
Accepted: 26 March 2014
Published: 2 April 2014
Reducing health inequalities is a top priority of the public health agendas in Europe. The EPHE project aims to analyse the added value of a community-based interventional programme based on EPODE methodology, adapted for the reduction of socio-economic inequalities in childhood obesity. The interventions that will be implemented by this project focus on four energy balance-related behaviours (fruit and vegetable consumption, tap water intake, physical inactivity, sleep duration) and their determinants. This article presents the design of the effect evaluation of the EPHE project.
This is a prospective two-year follow-up evaluation study, which will collect data on the energy balance-related behaviours and potential environmental determinants of 6–8 year olds, depending on the socio-economic status of the parents. For this purpose a parental self-reported questionnaire is constructed. This assesses the socio-economic status of the parents (5 items) and the dietary (12 items), sedentary (2 items) and sleeping (4 items) behaviour of the child. Alongside potential family-environmental determinants are assessed. The EPHE parental questionnaire will be disseminated in schools of a selected medium-sized city in seven European countries (Belgium, Bulgaria, France, Greece, Portugal, Romania, The Netherlands).
This study will evaluate the effects of the EPHE community-based interventional programmes. Furthermore, it will provide evidence for children’s specific energy balance-related behaviours and family environmental determinants related to socio-economic inequalities, in seven European countries.
Health inequalities between different population groups worldwide and in Europe exist due differences in factors that influence health, such as health related-behaviours, occupational class, education and income [1–3]. Apart from the health impacts of such disparities, the stakes are high even from an economic standpoint. According to the European Parliament, the estimated losses linked to health inequalities had cost around 1.4% of GDP within the European Union in 2011 .
Pronounced socio-economic inequalities in non-communicable diseases exist between and within countries in Europe [2, 3, 5–9], and even at the local level (within-community/neighbourhood) [2, 3, 5, 7, 8, 10]. Individuals of middle and lower income, occupation class and/or educational level are more likely to develop non-communicable diseases and are more exposed to related risk factors [1–3, 5, 6, 9]. The rates of obesity are higher and increasing more rapidly in those with relatively lower socio-economic status [5–7, 9, 11, 12]. Furthermore, unhealthy dietary habits and less active lifestyle are more common amongst subgroups with a relatively low socio-economic status [8–10, 13].
Tackling inequalities in overweight, obesity and related determinants has become a top priority for the European research and policy agendas over the last few years, stressing out the mandatory for action [6, 7, 9, 11, 14]. Nevertheless, evidence for the effectiveness of interventions in reducing inequalities in obesity are needed [5, 9].
The EPHE project
Based on the rational above, Epode for the Promotion of Health Equity (EPHE) project was designed. EPHE is a European project running from 2012 to 2015 with the support of the European Commission DG Health and Consumers. Its overall objective is to analyse the added value of community-based approaches based on the EPODE methodology [15, 16] in order to reduce inequities associated to childhood obesity and related determinants. In the basis of scientific evidence [10, 17–19], four determinants of obesity and overweight will be addressed by the EPHE interventions: promotion of fruit and vegetable intake, tap water intake, active lifestyle and adequate sleep duration. The project involves seven different community-based programmes across Europe (EPODE in France, HEALTHY KIDS in Bulgaria, JOGG in The Netherlands, Maia in Portugal, PAIDEIATROFI in Greece, SETS in Romania, VIASANO in Belgium) and is guided by an EPHE Scientific Advisory Board composed of representatives from 6 European Universities. Based on the results of the baseline measurements, the interventions will focus on the energy balance-related behaviours and their associated environmental determinants where there is the largest gap between high and low socio-economic groups.
The EPHE evaluation study aims (1) to identify the energy balance-related behaviours and explore environmental determinants which are associated with inequalities in childhood obesity and overweight in seven European countries, (2) to assess the effectiveness of EPODE methodology to tackle inequalities in obesity and overweight, (3) to assess the sustainability of potential effects, a year after the termination of the interventions and (4) to provide evidence-based results concerning the inequalities in childhood obesity and overweight across seven European countries. This article aims to describe the design and methodology of the effect evaluation of the EPHE project, which will assess the outcomes of the EPHE selected community-based programmes.
The EPHE evaluation plan consists of a prospective two-year follow-up study. It will assess the behavioural change in some energy balance-related behaviours and their associated environmental determinants in children, according to their socio-economic status, and its sustainability over time. The evaluation study will be performed in three measurement periods; baseline (May-June 2013), after the end of the EPHE interventions (May-June 2014) and a year after (May-June 2015). All countries will follow this timeline, with exception of the baseline measurements of France that will be conducted on September 2013, due to practical restrains. The study will include only self-reported measurements by means of a parental questionnaire.
The survey obtained formal declaration from the Medical Ethics Committee of the VU University Medical Centre, that it does not fall under the scope of the Medical Sciences people research Act (WMO). In addition, permission to research in schools was acquired from local community and/or school authorities, where necessary.
Each country is represented by a member of its EPHE National Coordination Team, which is a member of the EPHE Operational Board. The National Coordination Team is responsible to guide the Local Project Managers, which are in charge of the data collection in the community level. All the countries will follow a standardised protocol for the selection of the EPHE-city and the data collection, which will be described further in this article.
The evaluation study, as well as the interventions, will be implemented in a medium-sized city/town, where the population shall belong in a wide range of socio-economic statuses. The selected city/town should preferably not have implemented many interventions relevant to nutrition and physical activity addressed to the EPHE target group, in order to prevent of not detecting differences between the socio-economic groups.
To ensure the comparability among the participant communities, the National Coordination Teams must provide a description of the city they will select, before the baseline measurements are conducted. The description will include socio-economic information and health promotion programmes/campaigns conducted in the city/town, along with general information of the selected school(s), including infrastructure.
Sampling and recruitment
We aim at recruiting at least 150 families with children aged between 6 to 9 years old in every selected city/town with a similar variation regarding age and ethnicity per site, and a preferably low number of different ethnicities (other than the local) per site.
The families will be approached through schools. Every National Coordination Team and Local Team is in charge of committing teachers in the selected schools to enable the distribution and collection of the questionnaires. Teachers, acting as mediators, will approach the families. The National Coordination Teams and Local Project Managers of every country are responsible to engage and guide school directors and teachers in order to recruit the participants. Parents will be provided with an informed consent, describing the purpose of the study.
Of major importance is to account for the variability of the socio-economic status and ethnicity of the sample, both within and between communities. For that reason, the schools should be selected from different neighbourhoods of various socio-economic statuses that assure recruitment of higher and lower socio-economic statuses sample. This should be monitored in the city monitoring at the baseline.
Education, social class and income are the most commonly used indicators to assess the socio-economic status in nutritional research . In this study educational level, employment status and income position will be used in order to distinguish the socio-economic status of the parents. Given the current challenging economic instability of European Union, employment status will be assessed instead of the social class. As for some countries it is difficult to evaluate or to obtain quality data, we used the concept of perceived income position, asking parents to self-report their current financial status. Two socio-economic groups will be distinguished based on classification for each indicator: education (low-high), employment status (employed-not employed), income position (good-not good).
In order to ensure the confidentiality of the data, a process to warrant the anonymity will be applied. Each city/town will receive the edited questionnaires labelled with the country’s abbreviation and a three-digit code, indicating the subject’s number. This number will respect to the family name of the subject, indicated in a document that will be kept by the National Coordination Team of every country. As such, only the National Coordination Team will be aware of the subject’s identity, for follow-up purposes. The filled out questionnaires, will be returned sealed up in a provided envelope. The parents will be informed in advance for the process of confidentiality through an information letter, which will include the informed consent as well. Only the children that will return the informed consent indicating agreement of the parent will participate to the study.
The questionnaires will be distributed through schools. More specifically, the teachers will be provided with the labelled questionnaires and envelopes, which will be disseminated by them to the participant children in the class. Following, the children will give them to their parents. The number of distributed questionnaires has to be noted down, in order to monitor the response rates after the collection.
Similarly, after a specified period of one to two weeks, the questionnaires shall be returned back to the teachers. Finally the Local Project Managers will be responsible to collect the returned questionnaires and deliver them to their National Coordination Team. Every National Coordination Team has to keep at least one hard copy of each document, for safety reasons. As mentioned earlier, each local University will have access to their national data.
Development of questionnaire
A self-reported questionnaire (Additional file 1) is developed, with questions addressed to the parents. The questionnaire will assess information relevant to (1) the family’s socio-economic status and household’s food security level, (2) the child’s energy balance-related behaviours and associated environmental determinants and (3) the parental perception of a healthy body of a child. Based on those measures, it is expected that potential behavioural changes of the child and/or parents will be detected, which will reflect the EPHE- interventions.
The EPHE parental questionnaire was developed using items from relevant, validated questionnaires addressed in European populations. Items derived from validated questionnaires of large European socio-economic surveys [20, 21] were chosen to define the socio-economic status. For the assessment of the energy balance-related behaviours and their environmental determinants, items from the ENERGY parent and child questionnaires , the Pro-children child questionnaire  and its updated version PRO-GREENS , were used. These tools have been translated and validated [23, 25] in several European languages including some of our interest. Items with intraclass correlation coefficient (ICC) classified as "poor" (ICC < 0.5) were excluded [23, 25]. Concerning the household food security level, a short form of the household food security scale developed from the United States Department of Agriculture  was used. In order to assess the parent’s perception of their child’s body weight, the pictorial instrument and related questions developed by Collins  were used. All items derived from validated questionnaires were adapted for the needs of the EPHE parental questionnaire, where necessary. Additional items were constructed in the cases that no validated items or questionnaires existed to our knowledge.
The questionnaire will be translated in every language, respective to the participant countries and back-translated to English. It is mandatory for all participant countries to use the same version, layout and format of questionnaire.
The questionnaires from all countries will be shipped to the coordinating University in the Netherlands (Vrije University of Amsterdam), where the general analyses will be conducted. A scanned process from the same scanning company will facilitate the data transfer into SPSS files, for all three stages of the evaluation. All the national data will be made available to the national participant-University of country for further analysis.
Data cleaning and analysis plan
All the data sets will be checked for missing and double-crossed values. The missing values will be treated by the multiple imputation method, if necessary. The sample will be divided in two groups, according to the socio-economic indicator used in the assessment. Descriptive analysis will include appropriate non-parametric tests for comparing means, in order to detect differences in behaviours and determinants between the two socio-economic groups. The SPSS software 21.0 (IBM Corp., Armonk, NY, USA) will be used for all the analyses.
Description of selected cities
Descriptive characteristics of the EPHE cities
EPHE -city, Country
Year of entrance in EPODE
Communauté de communes Flandres Lys, France
Zwolle, The Netherlands
As shown in Table 1, three out of the nine participant municipalities began the implementation of EPODE methodology during the last year, whereas the other six were already committed to an EPODE-like programme. Health campaigns launched by programmes other than EPODE-like, are taking place to the majority of the engaged municipalities. However, these do not always overlap with the target group or the themes of EPHE.
Description of schools
The sample for the evaluation study will be recruited through schools, selected by the local coordinators of each country. The schools’ selection took into account the need to obtain a mixed sample with children and families from different socioeconomic statuses. In some countries we found these socio-economic variation in the same school, but in other countries, schools belonging to different socioeconomic areas were selected. In Belgium, four schools (three public and one private) from low to medium\high socio-economic areas participate. In Bulgaria ten schools are recruited (nine public and one private) from nine socio-economically mixed areas and one with higher socio-economic status. Greece recruits two public schools, from mixed socio-economic areas, alike to Portugal.
In Romania one public school participates, including students from a broad range of socio-economic statuses. In contrary, in The Netherlands two public schools participate, located in the neighbourhoods from the lowest and the highest socio-economic statuses. Finally, in France two public schools are included, one from a low socio-economic area and the other on from an area with mixed socio-economic status.
A total number of 105 items are included in the EPHE parental questionnaire. The average time to fill it out will be approximately 45 minutes.
Descriptive and socio-economic variables
Descriptive and socio-economic variables measured in the EPHE parental questionnaire
This questionnaire is filled in by:
(1) The mother (2) The stepmother (3) The father (4) The stepfather (5) The grandmother (6) The grandfather (7) The caregiver
Age of child
How old is your child?
(1) 6 (2) 7 (3) 8 (4) 9 and above
Age of parent (respondent)b
Which age group do you belong to?
(1) 20 and below (2) 20–24 (3) 25–30 (4) 31–35 (5) 36–40 (6) 41 and above
Size of the householdb
1. How many persons live in your household, including yourself?
1. (1) 2 persons (2) 3–4 persons (3) 5–6 persons (4) More than 6 persons
2. How many children (below 18 years old) live in your household?
2. (1) 1 child (2) 2 children (3) 3 children (4) a children (5) more than 4 children
How many years have you/your partner spend in full time study including school?
(1) Less than 6 years (2) 6–8 years (3) 9–11 years (4) 12–14 years (5) 15–17 years (6) More than 17 years (7) I don’t have a spouse/partner
How would you define your/your partners’ current labour status?
(1) Carry out a job or profession, including unpaid work for a family business or holding, including an apprenticeship or paid traineeship etc.
(2) Unemployed (3) Student, further training, unpaid work experience (4) In retirement or early retirement or has given up business (5) Permanently disabled (6) In compulsory military or community service (7) Fulfilling domestic tasks (8) Other inactive person (9) I don’t have a spouse/partner
Sector of employmentc
Which of the types of organisation you/your spouse work/worked for?
(1) Central or local government (2) Other public sector (such as education and health) (3) A state-owned enterprise (4) A private firm (5) Self-employed (6) Other (7) I don’t have a spouse/partner
Perception of incomec
Which of the description below comes closest to how you feel about your household’s income nowadays?
(1) Living comfortably on present income (2) Coping on present income (3) Finding it difficult on present income (4) Finding it very difficult on present income
Main source of incomec
Please consider the income of all household members and any income which may be received by the household as a whole. What is the main source of income in your household?
(1) Wages or salaries (2) Income from self-employment (excluding farming) (3) Income from farming (4) Pensions (5) Unemployment/redundancy benefit (6) Any other social benefits or grants (7) Income from investment, savings, insurance property (8) Income from other sources
Energy balance related behaviours
Dietary, sedentary and sleeping behaviour measured in the EPHE parental questionnaire
Energy balance-related behaviour
1. How often does your child usually eat fresh fruit?
8-point scale; (1) Never (2) Less than 1 day/week (3) 1 day/week (4) 2–4 days a week (5) 5–6 days a week (6) Every day, once/day (7) Every day, twice a day (8) Every day, more than twice/day
1. How often does your child usually eat salad or grated vegetables?
2. How often does your child usually eat other raw vegetables?
3. How often does your child usually eat cooked vegetables (incl. vegetable soup)?
1. How many times a day does your child usually drink water?
6-point scale; (1) Never (2) Less than once a day (3) Once a day (4) 2–4 times a day (5) 5–6 times a day (6) More than 6 times a day
2. When your child drinks water, how many glass(es) does (s)he drink?
Fruit juices consumptionb
1. How many times a week does your child usually drink fruit juices?
7-point scale; (1) Never (2) Less than once a week (3) Once a week (4) 2–4 days a week (5) 5–6 days a week (6) Every day, once a day (7) Every day, more than once a day
2. On a day that your child drinks fruit juices, how many glass(es), carton(s), bottle(s) or can(s) does (s)he drink?
Soft drinks consumptionb
1. How many times a week does your child usually drink soft drinks?
2. On a day that your child drinks soft drinks, how many glass(es), can(s) or bottle(s) does (s)he drink?
Diet soft drinks
1. How many times a week does your child usually drink diet soft drinks?
2. On a day that your child drinks diet soft drinks, how many glasses, cans or bottles does (s)he drink?
9-point scale; (1) None at all (2) 30 minutes/day (3) 1.0 hour/day (4) 1.5 hours/day (5) 2.0 hours/day (6) 2,5 hours/day (7) 3.0 hours/day (8) 3.5 hours/day (9) 4.0 or more hours/day
1. About how many hours a day does your child usually watch television in his/her free time?
1. About how many hours a day does your child usually plays computer games or uses the computer for leisure activities?
1. Does your child have a set daily routine for bedtime?b
(1) yes (2) no
2. How many hours a night does your child sleep?b
(1) 6–7 hours (2) 8–9 hours (3) 10–11 hours (4) 12 or more hours
3. What time does your child usually goes to bed?
(1) At 18.00 o’clock (2) At 19.00 o’clock (3) At 20.00 o’clock (4) At 21.00 o’clock (5) At 22.00 o’clock (6) At 23.00 o’clock (7) After 23.00 o’clock
4. What time does your child usually wake up?
(1) At 05.00 o’clock or earlier (2) At 06.00 o’clock at 07.00 o’clock (3) At 08.00 o’clock (4) At 09.00 o’clock (5) After 09.00 o’clock
In order to measure water consumption two frequency questions were constructed, assessing daily intake. Sedentary behaviour is assessed by means of time spent daily in television viewing and time of computer playing, for the week and the weekend days separately. These questions are derived from the ENERGY child questionnaire [22, 25]. Furthermore, four questions, partly informed by the ENERGY parent questionnaire and partly constructed, assess the sleeping habits of the child . Finally, three items- one informed by the ENERGY parent questionnaire and the other two by Collins- along with the pictorial instrument created by Collins (1991) , assess the parent’s perception of their child’s body weight.
Assessment of family environment
The description and questionnaire items of the family environmental variables, mentioned also as determinants of the energy balance-related behaviours, are demonstrated in the Additional file 2. With reference to the Pro Children child questionnaire , and its updated version PRO-GREENS , and the ENERGY parental questionnaire , the family environmental variables can be discriminated into social, physical (i.e. home availability, situation specific habit) and economic (price influence) correlates. Given that the three reference questionnaires make use of slightly different correlates, here they are aggregated into one framework. Therefore, the social correlates include the following mediators for fruit and vegetable consumption: parental demand, parental allowing, active encouragement, facilitating, parental knowledge on recommendations; and the following mediators for fruit juice\soft drink consumption and TV viewing\computer time: paying attention\monitoring, parental allowance, negotiating, communicating health beliefs, avoid negative modelling, parental self-efficacy to manage child’s intake, rewarding\comforting practice. All family environmental variables were assessed by one or two items, using a five response category format. Depending on the item the response categories range a. from (-2) I fully disagree to (2) I fully agree, b. from (1) never to (5) (yes) always, c. from (1) never to (5) every day. Exemptions are the variables assessing the situation of specific habit and the TV availability, where binary response categories are used (i.e. 1.yes, 2. no).
This article describes the methodology of the effect evaluation of the EPHE project, aimed to reduce the socio-economic inequalities in selected energy balance-related behaviours. The EPHE evaluation study is a two-year prospective follow-up survey, which will collect self-reported data of the energy balance-related behaviours of 6–8 year olds and their potential family environmental determinants, depending on the socio-economic level of the parents.
Little research has been conducted to associate childhood obesity and relevant behavioural determinants with socio-economic inequalities in the country level . Nevertheless, obesogenic environments seem to influence more the energy balance-related behaviours of lower socio-economic populations [12, 28, 29]. Screen exposure of children is inversely associated with parental education , whereas lower fruit and vegetable intake is observed more frequently in children with low educated parents [31, 32]. However, specific behaviours and determinants of childhood obesity in relation to parental socio-economic status have yet to be identified. The current study will provide evidence for the existence of socio-economic inequalities related to children’s energy balance-related behaviours and potential family environmental determinants, specifically regarding fruit and vegetable consumption, beverage consumption, sedentary lifestyle and sleeping behaviour.
This is one of the few evaluation studies that will assess the effectiveness of interventions in children from lower socio-economic statuses, considering the lack of such evidence . The assessment of potential family environmental correlates, influential to children’s health behaviour, in the socio-economic context is one of the strengths of this study. Furthermore, the use of three different indicators to assess the socio-economic status of the while the most relevant studies use the educational level [30–32], is another strong element. Worth it to mention that these correlates have shown moderate to good reliability and validity in European populations [23, 25]. To our knowledge, this is the first study to make use of such correlates in order to evaluate community-based interventions. Next to this, the cross-cultural character of the sample will enable the exploration of inequalities in childhood obesity across different European countries.
However, this study has some limitations. EPODE methodology is conventionally implemented according to the needs and available resources of the community [15, 16]. Although this flexibility is an advantage for the implementation of EPODE methodology itself, it complicates the establishment of a robust evaluation framework common for all communities . Considering these, the capacity of the current evaluation study to account for the variations of the local practices and interventions that can influence the effect of the program is limited. Additionally, relative differences (i.e. country-specific) by means of three indicators will approximately determine the socio-economic inequalities within-countries, instead of using more indicators. This reduces the strength of the study to detect absolute inequalities. Self-reported behaviours and determinants may lead to recall bias and eventual socially desirable answers. Furthermore, errors from the constructed items are possible, given that they are not validated. Considering that the family environmental correlates are assessed mostly by one item each, the reliability of the instrument may be violated . Another weakness is the lack of a comparison group, which may result to biased effect size. Finally, this is an observational study and consequently, no conclusions about causality will be drawn.
Considering the strengths and limitations of this evaluation study design, we believe that this study will contribute to the knowledge to explore and describe the health inequalities in sedentary lifestyle, dietary intake and sleep and relevant family environmental across European countries, especially now during the economic crisis in Europe.
We acknowledge the significant contribution of the EPHE Operational Board to the data acquisition and all related processes. We would like to thank the involved school personnel of all countries for permitting and assisting the data collection. In addition, we would like to thank all parents/caretakers for their participation to the study.
- European Commission: Commission staff working document. Report on Health Inequalities in the European Union (SWD(2013) 328 final). 2013, Brussels: Commission of the European CommunitiesGoogle Scholar
- European Commission: Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Solidarity in health: Reducing health inequalities in the EU (COM(2009) 567 final). 2009, Brussels: Commission of the European CommunitiesGoogle Scholar
- Marmot M, Allen J, Bell R, Bloomer E, Goldblatt P: WHO European review of social determinants of health and the health divide. Lancet. 2012, 380 (9846): 1011-1029. 10.1016/S0140-6736(12)61228-8.View ArticlePubMedGoogle Scholar
- European Parliament: European Parliament resolution of 8 March 2011 on reducing health inequalities in the EU (2010/2089(INI). 2011, http://www.europarl.europa.eu/sides/getDoc.do?pubRef=-//EP//NONSGML+REPORT+A7-2011-0032+0+DOC+PDF+V0//EN,Google Scholar
- Bambra CL, Hillier FC, Moore HJ, Cairns-Nagi JM, Summerbell CD: Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity among adults. Syst Rev. 2013, 2: 27-10.1186/2046-4053-2-27.View ArticlePubMedPubMed CentralGoogle Scholar
- Devaux M, Sassi F: Social inequalities in obesity and overweight in 11 OECD countries. Eur J Public Health. 2013, 23 (3): 464-469. 10.1093/eurpub/ckr058.View ArticlePubMedGoogle Scholar
- Di Cesare M, Khang YH, Asaria P, Blakely T, Cowan MJ, Farzadfar F, Guerrero R, Ikeda N, Kyobutungi C, Msyamboza KP, Oum S, Lynch JW, Marmot MG, Ezzati M: Inequalities in non-communicable diseases and effective responses. Lancet. 2013, 381 (9866): 585-597. 10.1016/S0140-6736(12)61851-0.View ArticlePubMedGoogle Scholar
- Roberts K, Cavill N, Hancock C, Rutter H: Social and economic inequalities in diet and physical activity. 2013, Oxford: Public Health England Obesity Knowledge and IntelligenceGoogle Scholar
- Robertson A, Lobstein T, Knai C: Obesity and socio-economic groups in Europe: Evidence review and implications for action. 2007, Brussels: European Commission, report for DG SancoGoogle Scholar
- de Jong E, Stocks T, Visscher TL, HiraSing RA, Seidell JC, Renders CM: Association between sleep duration and overweight: the importance of parenting. Int J Obes (Lond). 2012, 36 (10): 1278-1284. 10.1038/ijo.2012.119.View ArticleGoogle Scholar
- Prepared by the European Office for Investment for Health & Development VWHO, Reional Office for Europe: Obesity & inequities. Guidance for addressing inequities in oveweight and obesity. Unpublished draft for consultation. 2013Google Scholar
- Giskes K, Avendano M, Brug J, Kunst AE: A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults. Obes Rev. 2010, 11 (6): 413-429.View ArticlePubMedGoogle Scholar
- Tiffin R, Salois M: Inequalities in diet and nutrition. Proc Nutr Soc. 2012, 71 (1): 105-111. 10.1017/S0029665111003284.View ArticlePubMedGoogle Scholar
- World Health Oranization: Vienna Declaration on Nutrition and Noncommunicable Diseases in the Context of Health 2020. 2013, Vienna: World Health OranizationGoogle Scholar
- Borys JM, Le Bodo Y, Jebb SA, Seidell JC, Summerbell C, Richard D, De Henauw S, Moreno LA, Romon M, Visscher TL, Raffin S, Swinburn B: EPODE approach for childhood obesity prevention: methods, progress and international development. Obes Rev. 2012, 13 (4): 299-315. 10.1111/j.1467-789X.2011.00950.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Van Koperen TM, Jebb SA, Summerbell CD, Visscher TL, Romon M, Borys JM, Seidell JC: Characterizing the EPODE logic model: unravelling the past and informing the future. Obes Rev. 2013, 14 (2): 162-170. 10.1111/j.1467-789X.2012.01057.x.View ArticlePubMedGoogle Scholar
- Olafsdottir S, Berg C, Eiben G, Lanfer A, Reisch L, Ahrens W, Kourides Y, Molnar D, Moreno LA, Siani A, Veidebaum T, Lissner L, on behalf of the IDEFICS consortium: Young children’s screen activities, sweet drink consumption and anthropometry: results from a prospective European study. Eur J Clin Nutr. 2013, 68 (2): 223-228.View ArticlePubMedGoogle Scholar
- Roblin L: Childhood obesity: food, nutrient, and eating-habit trends and influences. Appl Physiol Nutr Metab. 2007, 32 (4): 635-645. 10.1139/H07-046.View ArticlePubMedGoogle Scholar
- Santaliestra-Pasias AM, Rey-Lopez JP, Moreno Aznar LA: Obesity and sedentarism in children and adolescents: what should be bone?. Nutr Hosp. 2013, 28 (Suppl 5): 99-104.PubMedGoogle Scholar
- European Social Survey: ESS Round 6 Source Questionnaire. 2012, London: Centre for Comparative Social Surveys, City University LondonGoogle Scholar
- Tolonen H: EHES Manual. Part B. Fieldwork procedures. National Institute for Health and Welfare. 2013, http://urn.fi/URN:ISBN:978-952-245-843-8,Google Scholar
- van Stralen MM, te Velde SJ, Singh AS, De Bourdeaudhuij I, Martens MK, van der Sluis M, Manios Y, Grammatikaki E, Chinapaw MJ, Maes L, Bere E, Jensen J, Moreno L, Jan N, Molnar D, Moore H, Brug J: EuropeaN Energy balance Research to prevent excessive weight Gain among Youth (ENERGY) project: Design and methodology of the ENERGY cross-sectional survey. BMC Public Health. 2011, 11: 65-10.1186/1471-2458-11-65.View ArticlePubMedPubMed CentralGoogle Scholar
- De Bourdeaudhuij I, Klepp KI, Due P, Rodrigo CP, de Almeida M, Wind M, Krolner R, Sandvik C, Brug J: 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. 2005, 8 (2): 189-200.View ArticlePubMedGoogle Scholar
- Fischer C, Brug J, Tak NI, Yngve A, te Velde SJ: Differences in fruit and vegetable intake and their determinants among 11-year-old schoolchildren between 2003 and 2009. Int J Behav Nutr Phys Act. 2011, 8: 141-10.1186/1479-5868-8-141.View ArticlePubMedPubMed CentralGoogle Scholar
- Singh AS, Chinapaw MJ, Uijtdewilligen L, Vik FN, van Lippevelde W, Fernandez-Alvira JM, Stomfai S, Manios Y, van der Sluijs M, Terwee C, Brug J: Test-retest reliability and construct validity of the ENERGY-parent questionnaire on parenting practices, energy balance-related behaviours and their potential behavioural determinants: the ENERGY-project. BMC Res Notes. 2012, 5: 434-10.1186/1756-0500-5-434.View ArticlePubMedPubMed CentralGoogle Scholar
- United States DoA, Economic Research Service: U.S. Household Food Security Survey Module: Six-Item Short Form Economic Research Service, USDA. 2012, http://www.ers.usda.gov/media/476115/youth2006.pdf,Google Scholar
- Collins ME: Body figure perceptions and preferences among preadolescent children. Int J Eat Disord. 1991, 10: 199-208. 10.1002/1098-108X(199103)10:2<199::AID-EAT2260100209>3.0.CO;2-D.View ArticleGoogle Scholar
- Chalkias C, Papadopoulos AG, Kalogeropoulos K, Tambalis K, Psarra G, Sidossis L: Geographical heterogeneity of the relationship between childhood obesity and socio-environmental status: Empirical evidence from Athens, Greece. Applied Geography. 2013, 37: 34-43.View ArticleGoogle Scholar
- Santana P, Santos R, Nogueira H: The link between local environment and obesity: a multilevel analysis in the Lisbon Metropolitan Area, Portugal. Soc Sci Med. 2009, 68 (4): 601-609. 10.1016/j.socscimed.2008.11.033.View ArticlePubMedGoogle Scholar
- Fernandez-Alvira JM, te Velde SJ, De Bourdeaudhuij I, Bere E, Manios Y, Kovacs E, Jan N, Brug J, Moreno LA: Parental education associations with children’s body composition: mediation effects of energy balance-related behaviors within the ENERGY-project. Int J Behav Nutr Phys Act. 2013, 10: 80-10.1186/1479-5868-10-80.View ArticlePubMedPubMed CentralGoogle Scholar
- Hilsen M, van Stralen MM, Klepp KI, Bere E: Changes in 10–12 year old’s fruit and vegetable intake in Norway from 2001 to 2008 in relation to gender and socioeconomic status - a comparison of two cross-sectional groups. Int J Behav Nutr Phys Act. 2011, 8: 108-10.1186/1479-5868-8-108.View ArticlePubMedPubMed CentralGoogle Scholar
- Sandvik C, Gjestad R, Samdal O, Brug J, Klepp KI: Does socio-economic status moderate the associations between psychosocial predictors and fruit intake in schoolchildren? The Pro Children study. Health Educ Res. 2010, 25 (1): 121-134. 10.1093/her/cyp055.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/303/prepub
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