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Purpose: To test the feasibility of tools and procedures for a pan-European food consumption survey among children 0-10 years and to recommend one of two tested dietary assessment methods., Methods: Two pilot studies including 378 children were conducted in Belgium and the Czech Republic in the Pilot studies for Assessment of Nutrient intake and food Consumption among Kids in Europe. One protocol included a 3-day food diary which was checked with a parent, and data were entered afterwards using EPIC-Soft. The alternative protocol consisted of two non-consecutive 1-day food diaries followed by EPIC-Soft completion interviews. Both protocols included general and food propensity questionnaires and anthropometric measurements. The protocols were compared using evaluation questionnaires among the participating parents and study personnel., Results: The parents found the questionnaires and instructions for filling in the food diaries understandable. Food description and food quantification was evaluated as problematic by 29 and 15% of the participants for the 3-day diaries versus 15 and 12% for the 1-day diaries. The protocol with 1-day food diaries was evaluated as less burdensome by the parents and logistically more challenging by the interviewers., Conclusions: Both dietary assessment methods with related tools and administration protocols were evaluated as feasible. The administration protocol with two 1-day food diaries with completion interviews offers more advantages for the future pan-European survey in children 0-10 years. The positive evaluation of feasibility of tools and materials is an important step towards harmonised food consumption data at European level among the younger age groups.

Purpose: We aimed (1) to describe and evaluate the "EPIC-Soft DataEntry" application developed as a user-friendly data entry tool for pan-European and national food consumption surveys among infants and children, and (2) to compare two food record-based dietary assessment methods in terms of food description and quantification using data quality indicators. EPIC-Soft DataEntry was used for both methods., Methods: Two pilot studies were performed in both Belgium and Czech Republic in a total of 376 children (3 months to 10 year olds): one using a consecutive 3-day food diary; and the second with two non-consecutive 1-day food diaries with data entry during a completion interview. The collected dietary data were compared between the two dietary assessment methods by country and by age groups: (i) <1 year; (ii) 1-3 years; (iii) >3-10 years., Results: Overall, 70% of the interviewers evaluated the work with EPIC-Soft DataEntry as easy. With both dietary assessment methods, an equally high proportion of specific food names (e.g., "yoghurt, strawberry") were reported, where only between 5 and 15% of foods were non-specified (e.g., "yoghurt, n.s."). The two 1-day food diaries yielded a higher proportion of foods with detailed description. For example, in the age category of 1-3 year olds in Belgium, for 7 out of 16 systematic questions on food description (e.g., "preservation method,") specific answers were significantly higher (all P < 0.03). The proportion of missing quantities of consumed foods was comparable between the two methods., Conclusions: The EPIC-Soft DataEntry application was positively evaluated by the majority of the interviewers. Two non-consecutive 1-day food diaries with data entry during a completion interview provide a more detailed description of consumed foods as compared with a 3-day food diary.

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.

Objectives: To compare the validity of parent-reported height, weight and body mass index (BMI) values of children (aged 4-10 years), when measured at home by means of newly developed instruction leaflets in comparison with simple estimated parental reports., Design: Randomised controlled trial with control and intervention group using simple randomisation., Setting: Belgian children and their parents recruited via schools (multistage cluster sampling design)., Participants: 164 Belgian children (53% male; participation rate 62%)., Intervention: Parents completed a questionnaire including questions about the height and weight of their child. Parents in the intervention group received instruction leaflets to measure their child's weight and height. Classes were randomly allocated to the intervention and control groups. Nurses measured height and weight following standardised procedures up to 2 weeks after parental reports., Outcome Measures: Weight, height and BMI category of the child were derived from the index measurements and the parental reports., Results: Mean parent-reported weight was slightly more underestimated in the intervention group than in the control group relative to the index weights. However, for all three parameters (weight, height and BMI), correlations between parental reports and nurse measurements were higher in the intervention group. Sensitivity for underweight and overweight/obesity was respectively, 75% and 60% in the intervention group, and 67% and 43% in the control group. Weighed κ for classifying children in the correct BMI category was 0.30 in the control group and was 0.51 in the intervention group., Conclusions: Although mean parent-reported weight was slightly more underestimated in the intervention than in the control group, correlations were higher and there was considerably less misclassification into valid BMI categories for the intervention group. This pattern suggests that most of the parental deviations from the index measurements were probably due to random errors of measurement and that diagnostic measures could improve by encouraging parents to measure their children's weight and height at home by means of instruction leaflets.

Background/objectives: Low calcium and vitamin D intakes have been associated with health risks in childhood and adulthood. This study aims to investigate dietary sources of calcium and vitamin D intake, and its associated sociodemographic, economic and lifestyle factors among preschoolers., Subjects/methods: Three-day estimated diet records from 696 Flemish preschoolers 2.5-6.5 years old (51% boys) were used (66% of 1052 collected diaries). Contribution of 58 food groups to calcium and vitamin D intake were computed. Multiple linear regression was used to examine associations of intakes with sociodemographic, economic and lifestyle factors., Results: Mean calcium intake (844 mg per day) was above, and mean vitamin D intake (2.0 μg per day) largely below the Belgian recommendations. Milk, sweetened milk drinks and cheese were the main sources of calcium intakes (26, 25 and 11%, respectively). Butter and margarine were the main vitamin D sources (26%), followed by growth milk (=fortified milk) (20%) and fish (15%). Calcium and vitamin D intake were negatively associated with participants' age, and calcium positively with parental education and family size. The child's gender, supplement use and physical activity level, and the employment status and smoking behaviour of the parents were not associated with calcium or vitamin D intake., Conclusions: Flemish preschoolers had too low vitamin D intakes while most had adequate calcium intakes. Milk (including sweetened, fortified/growth milk) was the main food source of calcium intake and the second important source of vitamin D intake after butter and margarine. Calcium intake was positively associated with parental education, while vitamin D intake was not.

The use of two non-consecutive 24 h recalls using EPIC-Soft for standardised dietary monitoring in European countries has previously been proposed in the European Food Consumption Survey Method consortium. Whether this methodology is sufficiently valid to assess nutrient intake in a comparable way, among populations with different food patterns in Europe, is the subject of study in the European Food Consumption Validation consortium. The objective of the study was to compare the validity of usual protein and K intake estimated from two non-consecutive standardised 24 h recalls using EPIC-Soft between five selected centres in Europe. A total of 600 adults, aged 45-65 years, were recruited in Belgium, the Czech Republic, France, The Netherlands and Norway. From each participant, two 24 h recalls and two 24 h urines were collected. The mean and distribution of usual protein and K intake, as well as the ranking of intake, were compared with protein and K excretions within and between centres. Underestimation of protein (range 2-13%) and K (range 4-17%) intake was seen in all centres, except in the Czech Republic. We found a fair agreement between prevalences estimated based on the intake and excretion data at the lower end of the usual intake distribution (< 10% difference), but larger differences at other points. Protein and K intake was moderately correlated with excretion within the centres (ranges = 0·39-0·67 and 0·37-0·69, respectively). These were comparable across centres. In conclusion, two standardised 24 h recalls (EPIC-Soft) appear to be sufficiently valid for assessing and comparing the mean and distribution of protein and K intake across five centres in Europe as well as for ranking individuals.