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The Child Eating Behaviour Questionnaire (CEBQ) is designed to measure 'usual' eating behaviour, with no time period attached, thus may not be suitable for assessing the effectiveness of short-term experimental studies. The aim of this study was to validate i) the CEBQ adapted to measure 'past week' rather than 'usual' eating behaviour, and ii) a computerized questionnaire assessing desire to eat core and non-core foods, against an objective measure of eating behaviour and food intake (eating in the absence of hunger (EAH) experiment). Children (n = 103) aged 8-12 years completed the desire to eat questionnaire followed by the EAH experiment while primary caregivers completed the adapted CEBQ. Results from the CEBQ showed that children with greater 'satiety responsiveness' (1-point higher) consumed less energy (-342 kJ; 95% CI -574, -110) whereas those with greater 'enjoyment of food' scale consumed more energy (380 kJ; 95% CI 124, 636) during the ad-libitum phase of the EAH experiment. Higher scores for slowness in eating (-705 kJ; 95% CI -1157, -254), emotional undereating (-590 kJ; 95% CI -1074, -106) and food fussiness (-629 kJ; 95% CI -1103, -155) were associated with lower total energy intake. Children who expressed greater desire to eat non-core foods consumed more energy in total (275 kJ; 95% CI 87, 463). Overall, this adapted CEBQ appears valid for measuring several short-term eating behaviours in children. The desire to eat questionnaire may be useful for identifying short-term susceptibility to overeating, however further investigation into how ratings of desire relate to the intake of highly palatable, energy dense foods is warranted., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Children consume ultra-processed food (UPF) from a young age, but the proportional contribution of UPF to young children's total energy intakes has not been evaluated in developed countries., Objectives: To describe UPF intake and associations with demographic factors in young children from 12 to 60 months of age., Design: Cohort study comprising a secondary analysis of data from a randomized controlled trial. Demographic data were collected by questionnaire. At 12, 24, and 60 months of age validated food frequency questionnaires estimated percentage of energy intake from UPF (%kcal UPF)., Participants/setting: The 669 children were born in Dunedin, New Zealand, between May 2009 and December 2010., Main Outcome Measures: Mean percentage of energy intake from UPF at 12, 24, and 60 months of age, mean differences in %kcal UPF by demographic variables., Statistical Analyses Performed: Mixed effects regression models were used to estimate relationships between demographics and %kcal UPF. Multiple imputation methods were used to impute missing UPF data., Results: UPF contributed mean (95% confidence interval) 45% (44%, 47%), 42% (41%, 44%), and 51% (50%, 52%) of energy intake to the diets of children at 12, 24, and 60 months of age, respectively. Energy intake from UPF was moderately correlated between 24 and 60 months (r = 0.36). No demographic factors were associated with mean %kcal UPF across time points, except for maternal obesity predicting higher UPF intake at 12 months. Bread, yoghurt, crackers, whole-wheat breakfast cereal, sausages, and muesli bars were among the 10 foods making the greatest contribution to mean %kcal UPF intakes at all time points., Conclusions: UPF contribute a substantial proportion of energy to the diets of young children. A range of foods with varying nutritional profiles contribute to these high intakes., (Copyright © 2021 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Although insufficient sleep has emerged as a strong, independent risk factor for obesity in children, the mechanisms by which insufficient sleep leads to weight gain are uncertain. Observational research suggests that being tired influences what children eat more than how active they are, but only experimental research can determine causality. Few experimental studies have been undertaken to determine how reductions in sleep duration might affect indices of energy balance in children including food choice, appetite regulation, and sedentary time. The primary aim of this study is to objectively determine whether mild sleep deprivation increases energy intake in the absence of hunger., Methods: The Daily, Rest, Eating, and Activity Monitoring (DREAM) study is a randomized controlled trial investigating how mild sleep deprivation influences eating behaviour and activity patterns in children using a counterbalanced, cross-over design. One hundred and ten children aged 8-12 years, with normal reported sleep duration of 8-11 h per night will undergo 2 weeks of sleep manipulation; seven nights of sleep restriction by going to bed 1 hr later than usual, and seven nights of sleep extension going to bed 1 hr earlier than usual, separated by a washout week. During each experimental week, 24-h movement behaviours (sleep, physical activity, sedentary behaviour) will be measured via actigraphy; dietary intake and context of eating by multiple 24-h recalls and wearable camera images; and eating behaviours via objective and subjective methods. At the end of each experimental week a feeding experiment will determine energy intake from eating in the absence of hunger. Differences between sleep conditions will be determined to estimate the effects of reducing sleep duration by 1-2 h per night., Discussion: Determining how insufficient sleep predisposes children to weight gain should provide much-needed information for improving interventions for the effective prevention of obesity, thereby decreasing long-term morbidity and healthcare burden., Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12618001671257 . Registered 10 October 2018.

NOVA is a food classification system that categorises food items into one of four categories according to the extent and purpose of their processing: minimally processed food (MPF), processed culinary ingredient (PCI), processed food (PF), or ultra-processed food (UPF). The aim of this study was to determine the relative validity and reproducibility of a food frequency questionnaire (EAT5 FFQ) for measuring daily energy intake (EI kJ) and percentage of daily energy intake (EI%) from each NOVA group in New Zealand children. One hundred parents of five year old children completed the 123 item EAT5 FFQ on two occasions four weeks apart. A 3 day weighed diet record (WDR) was completed on non-consecutive randomly assigned days between FFQ appointments. The FFQ overestimated EI (both as kJ and %) from MPF and UPF, and underestimated intakes from PCI and PF, compared with the WDR. Bland-Altman plots indicated reasonably consistent agreement between FFQ and WDR for MPF and UPF but not PCI or PF. Correlation coefficients between the FFQ and WDR were acceptable for EI (%) for MPF ( r = 0.31) and UPF ( r = 0.30). The FFQ differentiated between the highest and lowest quartiles for EI (%) from MPF and UPF foods ( p -values for the trends were 0.006 and 0.009 respectively), and for EI (kJ) from UPF foods ( p -value for trend 0.003). Bland-Altman plots indicated consistent agreement between repeat administrations of FFQ for MPF and UPF only, while intra-class correlations suggested good reproducibility for EI (kJ and %) for all four NOVA categories (range 0.51-0.76). The EAT5 FFQ has acceptable relative validity for ranking EI (%) from MPF and UPF. It has good reproducibility for measuring EI from all four NOVA categories, in young children.

Background: New physical activity guidelines for children address all movement behaviors across the 24-h day (physical activity, sedentary behavior, sleep), but how each component relates to body composition when adjusted for the compositional nature of 24-h data is uncertain., Aims: To i) describe 24-h movement behaviors from 1 to 5 years of age, ii) determine cross-sectional relationships with body mass index (BMI) z-score, iii) determine whether movement behaviors from 1 to 5 years of age predict body composition and bone health at 5 years., Methods: 24-h accelerometry data were collected in 380 children over 5-7 days at 1, 2, 3.5 and 5 years of age to determine the proportion of the day spent: sedentary (including wake after sleep onset), in light (LPA) and moderate-to-vigorous physical activity (MVPA), and asleep (including naps). BMI was determined at each age and a dual-energy x-ray absorptiometry (DXA) scan measured fat mass, bone mineral content (BMC) and bone mineral density (BMD) at 5 years of age. 24-h movement data were transformed into isometric log-ratio co-ordinates for multivariable regression analysis and effect sizes back-transformed., Results: At age 1, children spent 49.6% of the 24-h day asleep, 38.2% sedentary, 12.1% in LPA, and 0.1% in MVPA, with corresponding figures of 44.4, 33.8, 19.8 and 1.9% at 5 years of age. Compositional time use was only related significantly to BMI z-score at 3.5 years in cross-sectional analyses. A 10% increase in mean sleep time (65 min) was associated with a lower BMI z-score (estimated difference, - 0.25; 95% CI, - 0.42 to - 0.08), whereas greater time spent sedentary (10%, 47 min) or in LPA (10%, 29 min) were associated with higher BMI z-scores (0.12 and 0.08 respectively, both p < 0.05). Compositional time use from 1 to 3.5 years was not related to future BMI z-score or percent fat. Although MVPA at 2 and 3.5 years was consistently associated with higher BMD and BMC at 5 years, actual differences were small., Conclusions: Considerable changes in compositional time use occur from 1 to 5 years of age, but there is little association with adiposity. Although early MVPA predicted better bone health, the differences observed had little clinical relevance., Trial Registration: ClinicalTrials.gov number NCT00892983 .

Parental feeding practices are associated with children's eating behaviours and weight, yet current use of such practices lacks detailed description. This limits our understanding of which behaviours to target to promote healthy growth. We explored the frequency with which a range of parental feeding practices occurs in mothers of toddler and preschool children. Combined data from four Australasian trials of healthy feeding and growth were utilized, each using the Comprehensive Feeding Practices Questionnaire (CFPQ). Data were included from mothers of toddlers (1.3-2 years; n = 1344) and preschool children (4-6 years; n = 795). Means and standard deviations for each CFPQ dimension were calculated for the two age groups. Scores were categorised by frequency, and percentages in each category calculated. Linear regression analysis determined associations between socio-demographics and feeding practices. In both age groups, mothers reported extensive use of some CFPQ dimensions including modelling, encouraging balance and variety, and healthy food environment (between 84% and 100% reported using these practices 'usually' to 'often'). Greater variation existed for other practices including pressure to eat and restriction for health. Food as a reward and pressure to eat were used more with preschool children (M = 2.5, SD = 1.0 and M = 3.1 SD = 0.9) than with toddlers (M = 1.7, SD = 0.8 and M = 2.5 SD = 0.9). For both age groups, mothers' age, education, SEP and BMI category, or the child's BMI, sex, or age predicted use of some feeding practices. Feeding practices such as modelling and providing a healthy food environment are important, but interventions are unlikely to detect effects as most parents report following best practice. In contrast, given greater variability in reported use of other feeding practices like pressure to eat and restriction for health these constructs may be more likely to detect change., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Research shows that cardiorespiratory (CRF) and muscular fitness in childhood are associated with a healthier cardiovascular profile in adulthood. Identifying factors associated with measures of fitness in childhood could allow for strategies to optimize cardiovascular health throughout the lifecourse. The aim of this study was to examine the association between dietary patterns and both CRF and muscular fitness in 9⁻11-year-olds. In this study of 398 children, CRF and muscular fitness were assessed using a 20-m shuttle run test and digital hand dynamometer, respectively. Dietary patterns were derived using principal component analysis. Mixed effects linear regression models were used to assess associations between dietary patterns and CRF and muscular fitness. Most children had healthy CRF (99%, FITNESSGRAM) and mean ± SD muscular fitness was 15.2 ± 3.3 kg. Two dietary patterns were identified; &ldquo;Snacks&rdquo; and &ldquo;Fruit and Vegetables&rdquo;. There were no significant associations between either of the dietary patterns and CRF. Statistically significant but not clinically meaningful associations were seen between dietary patterns and muscular fitness. In an almost exclusively fit cohort, food choice is not meaningfully related to measures of fitness. Further research to investigate diet-fitness relationships in children with lower fitness levels can identify key populations for potential investments in health-promoting behaviors.