Objective: To compare, specifically by age group, proxy-reported food group estimates obtained from the food frequency section of the Children's Eating Habits questionnaire (CEHQ-FFQ) against the estimates of two non-consecutive 24 h dietary recalls (24-HDR). Design: Estimates of food group intakes assessed via the forty-three-food-group CEHQ-FFQ were compared with those obtained by a computerized 24-HDR. Agreement on frequencies of intakes (equal to the number of portions per recall period) between the two instruments was examined using crude and de-attenuated Pearson's correlation coefficients, cross-classification analyses, weighted kappa statistics (k w ) and Bland-Altman analysis. Setting: Kindergartens/schools from eight European countries participating in the IDEFICS (Identification and prevention of Dietary-and lifestyle-induced health EFfects In Children and infantS) Study cross-sectional survey (2007)(2008). Subjects: Children aged 2-9 years (n 2508, 50?4 % boys). Results: The CEHQ-FFQ provided higher intake estimates for most of the food groups than the 24-HDR. De-attenuated Pearson correlation coefficients ranged from 0?01 (sweetened fruit) to 0?48 (sweetened milk) in children aged 2-,6 years (mean 5 0?25) and from 0?01 (milled cereal) to 0?44 (water) in children aged 6-9 years (mean 5 0?23). An average of 32 % and 31 % of food group intakes were assigned to the same quartile in younger and older children, respectively, and classification into extreme opposite quartiles was #12 % for all food groups in both age groups. Mean k w was 0?20 for 2-,6-year-olds and 0?17 for 6-9-year-olds. Conclusions: The strength of association estimates assessed by the CEHQ-FFQ and the 24-HDR varied by food group and by age group. Observed level of agreement and CEHQ-FFQ ability to rank children according to intakes of food groups were considered to be low.

Dietary assessment is strongly affected by misreporting (both under-and over-reporting), which results in measurement error. Knowledge about misreporting is essential to correctly interpret potentially biased associations between diet and health outcomes. In young children, dietary data mainly rely on proxy respondents but little is known about determinants of misreporting here. The present analysis was conducted within the framework of the multi-centre IDEFICS (Identification and prevention of dietary-and lifestyle-induced health effects in children and infants) study and is based on 6101 children aged 2 -9 years with 24 h dietary recall (24-HDR) and complete covariate information. Adapted Goldberg cut-offs were applied to classify the 24-HDR as 'over-report', 'plausible report' or 'under-report'. Backward elimination in the course of multi-level logistic regression analyses was conducted to identify factors significantly related to under-and over-reporting. Next to characteristics of the children and parents, social factors and parental concerns/perceptions concerning their child's weight status were considered. Further selective misreporting was addressed, investigating food group intakes commonly perceived as more or less socially desirable. Proportions of under-, plausible and over-reports were 8·0, 88·6 and 3·4 %, respectively. The risk of under-reporting increased with age (OR 1·19, 95 % CI 1·05, 1·83), BMI z-score of the child (OR 1·23, 95 % CI 1·10, 1·37) and household size (OR 1·12, 95 % CI 1·01, 1·25), and was higher in low/medium income groups (OR 1·45, 95 % CI 1·13, 1·86). Over-reporting was negatively associated with BMI z-scores of the child (OR 0·78, 95 % CI 0·69, 0·88) and higher in girls (OR 1·70, 95 % CI 1·27, 2·28). Further social desirability and parental concerns/perceptions seemed to influence the reporting behaviour. Future studies should involve these determinants of misreporting when investigating diet-disease relationships in children to correct for the differential reporting bias.

BackgroundBoth sleep duration and screen time have been suggested to affect children’s diet, although in different directions and presumably through different pathways. The present cross-sectional study aimed to simultaneously investigate the associations between sleep duration, screen time and food consumption frequencies in children.MethodsThe analysis was based on 10 453 children aged 6–9 years from five European countries that participated in the World Health Organization European Childhood Obesity Surveillance Initiative. Logistic multilevel models were used to assess associations of parent-reported screen time as well as sleep duration (exposure variables) with consumption frequencies of 16 food items (outcome variables). All models were adjusted for age, sex, outdoor play time, maximum educational level of parents and sleep duration or screen time, depending on the exposure under investigation.ResultsOne additional hour of screen time was associated with increased consumption frequencies of ‘soft drinks containing sugar’ (1.28 [1.19;1.39]; odds ratio and 99% confidence interval), ‘diet/light soft drinks’ (1.21 [1.14;1.29]), ‘flavoured milk’ (1.18 [1.08;1.28]), ‘candy bars or chocolate’ (1.31 [1.22;1.40]), ‘biscuits, cakes, doughnuts or pies’ (1.22 [1.14;1.30]), ‘potato chips (crisps), corn chips, popcorn or peanuts’ (1.32 [1.20;1.45]), ‘pizza, French fries (chips), hamburgers’(1.30 [1.18;1.43]) and with a reduced consumption frequency of ‘vegetables (excluding potatoes)’ (0.89 [0.83;0.95]) and ‘fresh fruits’ (0.91 [0.86;0.97]). Conversely, one additional hour of sleep duration was found to be associated with increased consumption frequencies of ‘fresh fruits’ (1.11 [1.04;1.18]) and ‘vegetables (excluding potatoes)’ (1.14 [1.07;1.23]).ConclusionThe results suggest a potential relation between high screen time exposure and increased consumption frequencies of foods high in fat, free sugar or salt whereas long sleep duration may favourably be related to children’s food choices. Both screen time and sleep duration are modifiable behaviours that may be tackled in childhood obesity prevention efforts.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-1793-3) contains supplementary material, which is available to authorized users.