Objective: To estimate the habitual dietary intake distribution in a population on the basis of repeated short-term measurements, especially of multiple 24 h diet recalls. Methods: Six different statistical methods were evaluated and compared. The comparison referred to theoretical assumptions, admitted data transformations, statistical foundations, available software packages, and applications to real data of dietary intake. Results: The Nusser method and a simplified version of it proposed in the paper have proved to be universally applicable methods for estimating the usual intake distribution for food groups and nutrients. Also, the Buck method seemed to be a robust estimation procedure suitable for the description of food consumption data, whereas the other considered methods were only applicable for log -normally distributed intake data or required a comprehensive data simulation. Characteristics of the estimated usual intake distribution were a decreased standard deviation, increased lower percentiles, and decreased upper percentiles compared to the observed sample distribution of individual means. Empirical results concerning total fat and vegetable intake in three different European consumption surveys showed that the estimated percentiles of the usual intake distribution did not depend markedly on the number of sampling days. Conclusions: Repeated short-term measurements like 24 h diet recalls can be used to describe the habitual dietary intake distribution in food consumption surveys. Recommended is a sampling design of two non-consecutive sampling days. The sampling days of all participants should be selected in such a way that they cover all seasons and days of the week.

Objective: To describe the dietary patterns of 10 European countries and their socio-demographic determinants, using the comparable between-countries DAFNE data. Design: Analysis of standardized and postharmonized data collected through the national household budget surveys. Setting: Nationally representative surveys undertaken in 10 European countries, generally in the second half of the 1990s. Results: The differences in the fruit and vegetable consumption previously identified between Mediterranean and Northern European countries seem to be leveling out, particularly in relation to fruit consumption. Pulses, however, still characterize the diet of the Mediterraneans. Straying from their traditional food choices, Mediterraneans recorded high availability of unprocessed red meat, while Central and Northern Europeans preferably consumed meat products. The household availability of beverages (alcoholic and non-alcoholic) is generally higher among Central and Northern European populations. Principal component (PC) analysis led to the identification of two dietary patterns in each of the 10 countries. The first was similar in all countries and indicated 'wide-range' food buyers. The second was slightly more varied and described 'beverage and convenience' food buyers. PC1 was common among households of retired and elderly members, while PC2 was common among households located in urban or semi-urban areas and among adult Scandinavians living alone. Conclusions: The dietary patterns identified point towards a progressive narrowing of dietary differences between North and South European countries. The comparable between-countries DAFNE data could prove useful in ecological studies, in the formulation of dietary guidelines and public health initiatives addressing specific population groups. Sponsorship: European Commission.

Our objectives were (i) to assess the current prevalence of childhood overweight (including obesity) (OWOB) in France and its relationship with comprehensive socioeconomic status (SES) indicators and (ii) to examine trends in OWOB prevalence and changes in energy intake (EI) and sedentary behavior (SED) based on the previous INCA 1 (Individuelle Nationale des Consommations Alimentaires) data (1998)(1999). A representative sample of children aged 3-14 (n = 1,030) was taken from the 2006-2007 cross-sectional INCA 2 food consumption survey. Weight and height were measured. The prevalence of OWOB was estimated according to the IOTF (International Obesity Task Force) definition. Average daily EI was evaluated using a 7-day food record. SED (screen time) and SES were reported by answering questionnaires. SES indicators included the occupation and level of education of the head of the household (HH), and variables describing household wealth. Composite indices of SES were computed by correspondence analysis, and relationships with OWOB were explored by logistic regression analysis. In total, 14.5% (95% CI: 12.1-17.0) of the children were OWOB. All SES indicators were inversely correlated to OWOB. Average EI was equal to 1,739 kcal/day. Daily, children spent 113.5 min watching television, and 38.5 min playing video games or using a computer. Compared to the INCA 1 study, OWOB prevalence was not significantly different, EI was lower, and SED was higher. These trends were the same across all occupational categories of heads of household. Although overall rates of childhood OWOB are currently stabilizing, no change was observed in the strong inverse socioeconomic gradient of OWOB between the two studies.

The identification of adults' dietary patterns and associated behaviours (all modifiable) is important for the conceptualisation of multi-behavioural programs. The additional information on social and environmental correlates is also essential for targeting the most vulnerable population groups in the context of such public health interventions.

Objective: The aim of this study was to validate the EAR cut-point method for assessing the prevalence of nutrient inadequacy at the population level. Design and subjects: Different methods for estimating the prevalence of inadequate intake were compared: the cut-off point method, with cut-off points at the Recommended Dietary Allowance (RDA), 0.66 RDA, 0.50 RDA and the Estimated Average Requirement (EAR); the probability approach; and a Monte Carlo simulation. In total, 591 men and 674 women, aged 20 -55 years, were included in the analyses. Results: The prevalence of inadequate intake as estimated by the EAR cut-point method was similar to the prevalence of inadequacy estimated by both probabilistic methods. The cut-point method with RDA, 0.66 RDA and 0.50 RDA as cut-off limits induced an over-or an underestimation of the real prevalence of inadequacy. Conclusions: Probabilistic methods consider both the intake variability and the requirement variability, and, as a result, their estimation should be closer to the real prevalence of inadequacy. The use of the EAR cut-point method yields a good estimation of the prevalence of inadequate intake, comparable to the probability approach, and limits over-and underestimation of the prevalence induced by other cut-off points.