Achieving an understanding of the extent of micronutrient adequacy across Europe is a major challenge. The main objective of the present study was to collect and evaluate the prevalence of low micronutrient intakes of different European countries by comparing recent nationally representative dietary survey data from Belgium, Denmark, France, Germany, The Netherlands, Poland, Spain and the United Kingdom. Dietary intake information was evaluated for intakes of Ca, Cu, I, Fe, Mg, K, Se, Zn and the vitamins A, B1, B2, B6, B12, C, D, E and folate. The mean and 5th percentile of the intake distributions were estimated for these countries, for a number of defined sex and age groups. The percentages of those with intakes below the lower reference nutrient intake and the estimated average requirement were calculated. Reference intakes were derived from the UK and Nordic Nutrition Recommendations. The impact of dietary supplement intake as well as inclusion of apparently low energy reporters on the estimates was evaluated. Except for vitamin D, the present study suggests that the current intakes of vitamins from foods lead to low risk of low intakes in all age and sex groups. For current minerals, the study suggests that the risk of low intakes is likely to appear more often in specific age groups. In spite of the limitations of the data, the present study provides valuable new information about micronutrient intakes across Europe and the likelihood of inadequacy country by country.

A revised version of the Three-Factor Eating Questionnaire (TFEQ) was developed in an obese population, but its applicability to the general population was not assessed. We aimed to define the relationship between eating behavior and reported food intake. This was a cross-sectional study of 529 middle-aged adults and 358 teenagers and young adults recruited on a geographical basis. The TFEQ-R18 measures 3 aspects of eating behavior: cognitive restraint (CR), uncontrolled eating (UE), and emotional eating. Reported food intake was calculated from a food frequency questionnaire. Girls who scored higher on restrained eating had a lower energy intake than the other girls (9164 kJ vs. 13,163 kJ, P < 0.001). In adult men, energy intake increased with UE (9663 kJ vs. 11,029 kJ in the lower and higher UE tertiles, respectively, P < 0.05). When specific food groups were analyzed, higher CR was positively associated in adults with healthy food groups like green vegetables [OR = 1.92 (0.68-2.44)] and negatively associated with French fries [OR = 0.35 (0.22-0.57)] and sugar [OR = 0.38 (0.23-0.61)]. Energy-dense foods, such as fat, were positively associated with UE [OR = 2.28 (1.46-3.57) for dietary fat]. Finally, emotional eaters had a higher snacking food intake. In teenagers and young adults, most associations were seen with CR. Converse to observations in adults, teenagers and young adults who exhibited a high cognitive restraint reported consumption of fewer energy-dense foods rather than more "healthy foods." The TFEQ-R18 was therefore able to distinguish among different eating patterns in our sample of a French general population.

Objective: Our aim was to evaluate the reproducibility of a food-frequency questionnaire (FFQ) developed in a French population, and its validity against four 24-h dietary recalls (24-HRs). Methods: A total of 57 adults (aged 18-63), 17 adolescents (aged 14-18) and 20 children (aged 10-14) completed four 24-HRs (one per season) and two FFQs over a 1-year interval. Reproducibility of the FFQ was estimated by intraclass correlation coefficients (ICCs). The validity of FFQ was assessed by comparison with the four 24-HRs. Results: For most nutrients, the first FFQ measurements gave higher mean values than the second FFQ. The ICCs for nutrients ranged from 0.39 for total protein to 0.83 for alcohol. The ICCs were higher for food items consumed daily such as milk (0.80) or sugars and confectionery (0.65), and lower for rarely eaten food such as inner organs (0.11). Nutrient intakes as assessed by FFQs were higher than those from the 24-HRs, except for alcohol. The de-attenuated Pearson's correlation coefficient for nutrients varied from 0.25 (dietary fiber) to 0.90 (alcohol), but the adjustment for energy did not improve these coefficients. When nutrient intakes were categorized into quintiles, FFQ and 24-HRs produced agreement rates (same or adjacent quintile) between 55% (for PUFA) and 95% (for alcohol), while misclassification to an extreme quintile was rare (o5%). Conclusion: The FFQ developed for the FLVS II Study can be used to classify adults or adolescents according to their nutrients and food intakes over a 1-year period.