Identifying a need for developing a conceptual framework for the future development of Food-Based Dietary Guidelines (FBDG) in Europe, The Federation of European Nutrition Sciences established a Task Force for this purpose. A workshop was held with the specific objective to discuss the various dimensions considered as particularly relevant. Existing frameworks for FBDG were discussed, and presentations from various countries illustrated not only several commonalities but also a high degree of heterogeneity in the guidelines from different countries. Environmental aspects were considered in several countries, and dimensions like food safety, dietary habits and preparation were included in others. The workshop provided an overview of the use of FBDG – both in developing front-of-pack nutrition labels and for reformulation and innovation. The European FBDG dimensions were described with examples from the close connection between FBDG and European Union (EU) policies and activities and from the compilation of a database of national FBDG. Also, the challenges with communication of FBDG were discussed. Considering the current scientific basis and the experiences from several countries, the Task Force discussed the various dimensions of developing FBDG and concluded that environmental aspects should be included in the future conceptual framework for FBDG. A change in terminology to sustainable FDBG (SFBDG) could reflect this. The Task Force concluded that further work needs to be done exploring current practice, existing methodologies and the future prospects for incorporating other relevant dimensions into a future Federation of European Nutrition Societies conceptual framework for SFBDG in Europe and working groups were formed to address that.

The relationship between social vulnerabilities and the effectiveness of behavioral interventions to prevent obesity in children is poorly understood. Therefore, the objective of this study is to evaluate the association between parental employment and the effectiveness of IDEFICS, a multilevel behavioral intervention aiming to prevent obesity among children (2 to 9.9 years old) in eight European countries. Data from 9,901 children and their parents was included in the analysis. We determined the Body Mass Index (BMI) z-score mean difference as the measurement of the intervention effectiveness and we calculated it as the follow-up (T1) BMI z-score mean minus baseline (T0) BMI z-score mean. Parents self-reported their employment status at T0 and T1. Children were classified, at both study times (T0 and T1), as children with employed parents (both parents employed) or as children with unemployed parents (one or both parents unemployed or receiving social assistance). We calculated unadjusted and adjusted multilevel mixed model analyses to evaluate if the employment status at T0 and the evolution of the employment status within a two-year period (from T0 to T1) predicted the BMI z-score mean difference among boys and girls. In boys, parental unemployment at T0 and throughout a two-year period (T0 to T1) predicted an increase of BMI z-score mean difference when compared to boys with employed parents (unemployment at T0: adjusted β = 0.12; p = 0.028; and unemployment from T0 to T1: adjusted β = 0.20; p = 0.031). We found no difference in the effectiveness of the IDEFICS intervention among girls with unemployed parents at T0 and from T0 to T1 when compared to girls with employed parents (unemployment at T0: adjusted β = 0.04; p = 0.337; and unemployment from T0 to T1: adjusted β = 0.10; p = 0.216, respectively). Our results suggest that the influence of parental unemployment in the IDEFICS outcome is different for boys and girls. Employment of both parents, which is related to a higher income, could contribute the families to engage healthier eating and physical activity behaviors among boys. Future multilevel interventions should include a combination of community-based and school-based components, as well as family-centered components, specifically on those families with parents out of the labor force, to address specific barriers or vulnerabilities that prevent them from improving behavior and weight status.

Proper dietary habits and behaviours are at the heart of maintaining an appropriate nutritional status, an adequate body mass and, as such, avoiding obesity and/ or its comorbidities. A child's diet is highly influenced by the home food environment and upbringing. The aim of the current study was to explore if and how parental feeding practices and eating behaviour are associated with child's eating behaviour and body mass index (BMI).

In 226 Belgian adolescents (10–17y, 51% girls, 10% overweight and 14% underweight) and their parents, eating behaviour was assessed through the Dutch Eating Behaviour Questionnaire. Information on the parental feeding practices was obtained through the Child Feeding Questionnaire and the Comprehensive Feeding Practices Questionnaire. BMI was calculated based on standardised measurements of body height and body weight. Linear regression results, adjusted for age, sex and socioeconomic status, are described below.

Regarding parental eating behaviour, parental external eating enhanced the child's external eating (β = 0.155,p = 0.022), parental restrained eating was associated negatively with the child's emotional (β = −0.214,p = 0.001) and external eating (β = −0.154,p = 0.022), but positively with its restrained eating (β = 0.149,p = 0.022) and BMI (β = 0.183,p = 0.005), while parental emotional eating had no influence. Concerning feeding practices, restriction of the child's access to food and food consumption monitoring, stimulated child's emotional (β = 0.174,p = 0.011; β = 0.173,p = 0.010) and restrained (β = 0.137,p = 0.041; β = 0.159,p = 0.015) eating, and showed a positive association with its BMI (β = 0.143,p = 0.033; β = 0.149,p = 0.023), while allowing the child to make own food choices reduced its external eating (β = −0.169,p = 0.012). Parental pressure to eat (mainly at mealtimes) decreased the child's restrained eating (β = −0.231,p < 0.001) and was negatively associated with its BMI (β = −0.340,p < 0.001). Moreover, child's BMI was inversely related to its external eating (β = −0.207,p = 0.002), but positively to its restrained eating (β = 0.0483,p < 0.001) and to parental healthy modelling (β = 0.192,p = 0.003), involving the child (β = 0.223,p = 0.001) and creating a favourable food environment (β = 0.162,p = 0.013).

Our results confirm the parents' crucial role in the development of their offspring's dietary habits. Mainly parental external eating, restriction and monitoring of the child's access to food have an unfavourable effect, while allowing child's own food choices and parental restrained eating seem beneficial. Rather unexpected associations between healthy food environment, modelling and child involvement with child's BMI might lie in causal dependencies. A longitudinal investigation could further elucidate the reasons for these observations. We recommend that policies and educational programmes on healthy diet and eating behaviour target not only schools and children, but also parents.

Chrono-nutrition is an emerging field of research that focuses on the interplay between nutrition, circadian rhythms and metabolism. Most nutritional guidelines recommend regular and frequent meals for children and adolescents throughout the day. However, preliminary research, mostly in animals suggests that eating at the “wrong” time of the day and longer eating windows (and concomitant shorter fasting periods) may relate to metabolic health. This study aimed to identify meal-timing patterns of European children and adolescents in eight European countries.

We examined 1225 children and adolescents (mean age: 11.8 years, 50% boys, and 26% overweight/obese) from Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden enrolled in the European I.Family study (2013/2014). Information on energy intake and meal-timing patterns was derived from multiple web-based 24-hour dietary recalls (proxy-assisted for children < 12 years). We used the National Cancer Institute (NCI) method to estimate individual usual intakes. Subsequently, we applied the k-means algorithm to identify clusters for meal-timing patterns. Five variables were selected for the cluster analysis: 1) Duration between first and last meal of the day (eating window in hours), 2) Proportion of daily energy intake before 11am, 3) Proportion of daily energy intake after 5pm, 4) Number of meals per day, and 5) Pre-sleep fasting time.

Three clusters, labelled “late and time-restricted”, “late and long” and “early and frequent” meal-timing patterns were identified. Similar clusters were derived when excluding energy misreporters according to Goldberg cut-offs. Children in the “early and frequent” pattern were younger, had a lower body mass index (BMI) z-score, and a longer sleep duration than children in the other two meal-timing patterns. A higher proportion of plausible energy reporters were classified into the “early and frequent” pattern than into the other two patterns. The proportion of children from Italy, Cyprus and Spain was highest in the “late and long” pattern, while the proportion of children from Belgium, Sweden, Germany and Hungary was highest in the “early and frequent” patterns, and the proportion of children from Estonia was highest in the “late and time-restricted” pattern.

In conclusion, this study identified three different meal-timing patterns in children that varied by age, BMI z-score, country, misreporting status, and sleep duration. Investigations on the associations between meal timing patterns and metabolic health in this study sample are currently ongoing.

Balanced vegetarian diets are popular, although they are nearly absent in creatine and carnosine and contain considerably less carnitine than non-vegetarian diets. Few longitudinal intervention studies investigating the effect of a vegetarian diet on the availability of these compounds currently exist. We aimed to investigate the effect of transiently switching omnivores onto a vegetarian diet for 6 months on muscle and plasma creatine, carnitine and carnosine homeostasis. In a 6-month intervention, forty omnivorous women were ascribed to three groups: continued omnivorous diet (control, n 10), vegetarian diet without supplementation (Veg+Pla, n 15) and vegetarian diet combined with daily β-alanine (0·8–0·4 g/d) and creatine supplementation (1 g creatine monohydrate/d) (Veg+Suppl, n 15). Before (0 months; 0M), after 3 months (3M) and 6 months (6M), a fasted venous blood sample and 24-h urine was collected, and muscle carnosine content was determined by proton magnetic resonance spectroscopy (1H-MRS). Muscle biopsies were obtained at 0M and 3M. Plasma creatine and muscle total creatine content declined from 0M to 3M in Veg+Pla (P=0·013 and P=0·009, respectively), whereas plasma creatine increased from 0M in Veg+Suppl (P=0·004). None of the carnitine-related compounds in plasma or muscle showed a significant time×group interaction effect. 1H-MRS-determined muscle carnosine content was unchanged over 6M in control and Veg+Pla, but increased in Veg+Suppl in soleus (P<0·001) and gastrocnemius (P=0·001) muscle. To conclude, the body creatine pool declined over a 3-month vegetarian diet in omnivorous women, which was ameliorated when accompanied by low-dose dietary creatine supplementation. Carnitine and carnosine homeostasis was unaffected by a 3- or 6-month vegetarian diet, respectively.

The current study provided psychometric information on the parent and child version of the Behavioural Inhibition System (BIS)/Behavioural Approach System (BAS) scale. Parent-child agreement was evaluated (N = 217, 7.5 to 14 years, 50% boys). Moreover, absolute and rank order stability of mother-reported BIS/BAS scores over a 2-year period were assessed (N = 207, 5.5 to 11 years at baseline, 49% boys). Only full measurement invariant (sub-)scales were considered in the parent-child agreement and longitudinal stability assessment. Parent and child ratings were found to be measurement invariant but discrepant on BAS Drive and BAS Reward Responsiveness. In younger children, child ratings on BAS Drive tended to be higher than parent ratings, whereas in older children, child ratings tended to be lower than parent ratings. Further, the discrepancy between the BAS Drive ratings of fathers and children was higher than the discrepancy between the BAS Drive ratings of mothers and children. Finally, the study results suggested 2-year absolute and rank order stability of the measurement-invariant, mother-reported BIS and BAS Drive scores in children aged 5.5 to 11 years at baseline.

This study aims to examine repeatability of reduced rank regression (RRR) methods in calculating dietary patterns (DP) and cross-sectional associations with overweight (OW)/obesity across European and Australian samples of adolescents. Data from two cross-sectional surveys in Europe (2006/2007 Healthy Lifestyle in Europe by Nutrition in Adolescence study, including 1954 adolescents, 12–17 years) and Australia (2007 National Children’s Nutrition and Physical Activity Survey, including 1498 adolescents, 12–16 years) were used. Dietary intake was measured using two non-consecutive, 24-h recalls. RRR was used to identify DP using dietary energy density, fibre density and percentage of energy intake from fat as the intermediate variables. Associations between DP scores and body mass/fat were examined using multivariable linear and logistic regression as appropriate, stratified by sex. The first DP extracted (labelled ‘energy dense, high fat, low fibre’) explained 47 and 31 % of the response variation in Australian and European adolescents, respectively. It was similar for European and Australian adolescents and characterised by higher consumption of biscuits/cakes, chocolate/confectionery, crisps/savoury snacks, sugar-sweetened beverages, and lower consumption of yogurt, high-fibre bread, vegetables and fresh fruit. DP scores were inversely associated with BMI z-scores in Australian adolescent boys and borderline inverse in European adolescent boys (so as with %BF). Similarly, a lower likelihood for OW in boys was observed with higher DP scores in both surveys. No such relationships were observed in adolescent girls. In conclusion, the DP identified in this cross-country study was comparable for European and Australian adolescents, demonstrating robustness of the RRR method in calculating DP among populations. However, longitudinal designs are more relevant when studying diet–obesity associations, to prevent reverse causality.

This study examined the correlates of dietary energy under-reporting (UR) and over-reporting (OV) in European adolescents. Two self-administered computerised 24-h dietary recalls and physical activity data using accelerometry were collected from 1512 adolescents aged 12·5–17·5 years from eight European countries. Objective measurements of height and weight were obtained. BMI was categorised according to Cole/International Obesity Task Force (IOTF) cut-off points. Diet-related attitudes were assessed via self-administered questionnaires. Reported energy intake (EI) was compared with predicted total energy expenditure to identify UR and OV using individual physical activity objective measures. Associations between misreporting and covariates were examined by multilevel logistic regression analyses. Among all, 33·3 % of the adolescents were UR and 15·6 % were OV when considering mean EI. Overweight (OR 3·25; 95 % CI 2·01, 5·27) and obese (OR 4·31; 95 % CI 1·92, 9·65) adolescents had higher odds for UR, whereas underweight individuals were more likely to over-report (OR 1·67; 95 % CI 1·01, 2·76). Being content with their own figures (OR 0·61; 95 % CI 0·41, 0·89) decreased the odds for UR, whereas frequently skipping breakfast (OR 2·14; 95 % CI 1·53, 2·99) was linked with higher odds for UR. Those being worried about gaining weight (OR 0·55; 95 % CI 0·33, 0·92) were less likely to OV. Weight status and psychosocial weight-related factors were found to be the major correlates of misreporting. Misreporting may reflect socially desirable answers and low ability to report own dietary intakes, but also may reflect real under-eating in an attempt to lose weight or real over-eating to reflect higher intakes due to growth spurts. Factors influencing misreporting should be identified in youths to clarify or better understand diet–disease associations.

High dietary Na intake is associated with multiple health risks, making accurate assessment of population dietary Na intake critical. In the present study, reporting accuracy of dietary Na intake was evaluated by 24 h urinary Na excretion using the EPIC-Soft 24 h dietary recall (24-HDR). Participants from a subsample of the European Food Consumption Validation study (n 365; countries: Belgium, Norway and Czech Republic), aged 45–65 years, completed two 24 h urine collections and two 24-HDR. Reporting accuracy was calculated as the ratio of reported Na intake to that estimated from the urinary biomarker. A questionnaire on salt use was completed in order to assess the discretionary use of table and cooking salt. The reporting accuracy of dietary Na intake was assessed using two scenarios: (1) a salt adjustment procedure using data from the salt questionnaire; (2) without salt adjustment. Overall, reporting accuracy improved when data from the salt questionnaire were included. The mean reporting accuracy was 0·67 (95 % CI 0·62, 0·72), 0·73 (95 % CI 0·68, 0·79) and 0·79 (95 % CI 0·74, 0·85) for Belgium, Norway and Czech Republic, respectively. Reporting accuracy decreased with increasing BMI among male subjects in all the three countries. For women from Belgium and Norway, reporting accuracy was highest among those classified as obese (BMI ≥ 30 kg/m2: 0·73, 95 % CI 0·67, 0·81 and 0·81, 95 % CI 0·77, 0·86, respectively). The findings from the present study showed considerable underestimation of dietary Na intake assessed using two 24-HDR. The questionnaire-based salt adjustment procedure improved reporting accuracy by 7–13 %. Further development of both the questionnaire and EPIC-Soft databases (e.g. inclusion of a facet to describe salt content) is necessary to estimate population dietary Na intakes accurately.