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To assess changes in sleep parameters and circadian rhythm metrics measured by actigraphy in preschool-aged children.Longitudinal analysis over 1 year.Ninety-four children living in Tijuana and Ensenada, Mexico.Children wore accelerometers on the right hip for one continuous week at baseline and 1-year follow-up. Parents recorded child bedtime, waketime, and naps in sleep diaries. We used cosinor and nonparametric approaches to calculate circadian rhythm metrics.At baseline, children had a mean age of 4.2 years, and 51.1% were girls. In multivariable models adjusted for age, gender, BMI category, parental education, household income and city, at follow-up children had significantly earlier waketimes (β = -7.99 minutes, p.001) compared to baseline. Children also had lower sleep onset latency (β = -2.32 minutes, p = .057), and longer nighttime sleep (β = 9.38 minutes, p = .079), but these changes were not significant at the α0.05 level. We found significant increases in log relative amplitude (β = 0.017, p = .009), and decreases in log midline estimated statistic of rhythm (β = -0.084, p = .017) and log of the least active 5-hour period (β = -0.057, p = .010). When we adjusted for co-sleeping, we found significant decreases in the number of nighttime awakenings (β = -1.29, p = .011) but otherwise similar results. There were no other changes in sleep parameters or circadian rhythm metrics.Mean increases in nighttime sleep and earlier wake times over one year were concomitant with decreases in overall activity levels and increases in circadian rhythm robustness. Co-sleeping was a predictor of sleep disturbances. This study provides longitudinal evidence regarding changes in sleep and circadian metrics in a sample of children from an under-researched sociodemographic group during an important, early life period.

Background Increasing consumption of highly processed foods has been associated with adverse health outcomes among children. In the US, children consume up to half of their daily energy intake at school. Objectives We sought to characterize foods that children bring from home to school according to processing level and to evaluate the effectiveness of a school-based intervention, Great Taste Less Waste (GTLW), in reducing the proportion of energy brought from highly processed foods from home compared with control. Design Secondary data analysis of a 7-month school-based, cluster-randomized trial. Participants/setting Third- and fourth-grade students (n = 502, mean age: 9.0 ± 0.62 years) at 10 public elementary schools in Eastern Massachusetts (school year 2012-2013). Intervention GTLW included a 22-lesson classroom curriculum, homework activities, monthly parent newsletters, a food shopping and packing guide for parents, food demonstrations, school-wide announcements, and a poster contest. Main outcome measures The energy content of foods brought to school was estimated from digital photographs, and foods were assigned to 1 of 3 processing levels (less processed or unprocessed, moderately processed, or highly processed) based on an established classification system. Statistical analyses performed The percentage of energy brought from foods categorized into each processing level was calculated and compared pre- and postintervention using hierarchical linear models. Results Most of the food brought from home to school was highly processed (70% of food energy brought). Foods categorized as snack foods and desserts contributed the greatest percentage of total energy to the highly processed category at baseline and follow-up (72% and 69%, respectively). Energy from foods brought for snack tended to be more highly processed than those brought for lunch. No significant differences were observed from pre- to postintervention in the GTLW group compared with control for the percentage of energy brought from highly processed foods in adjusted models (β: −1.1, standard error: 2.2, P = .6) or any other processing level. Conclusions Highly processed foods were prevalent in home-packed lunches and snacks, and these patterns persisted after a targeted intervention. Further research is needed to identify strategies to improve the healthfulness of foods brought from home to school.

Excess consumption of highly processed foods may be associated with lower diet quality and obesity prevalence, but few studies have examined these relationships in children from low-income households. Therefore, the objective of this study was to evaluate the relationship between food consumption by processing category, diet quality as measured by the Healthy Eating Index-2015 (HEI-2015) and body mass index (BMI) in a sample of low-income children. Data from a study assessing the impact of Summer Food Service participation on diet quality and weight status (N = 131) was used to conduct a cross-sectional analysis of children aged six to twelve years from low-income communities in the Northeastern U.S. Total HEI-2015 score and percentage of calories consumed by processing level were computed per day from three 24-h diet recalls. Multivariable linear regression was used to assess the relationship between percentage of calories from foods by processing category (unprocessed and minimally, basic, moderately and highly processed), HEI-2015 and BMI-z score. The final sample was 58% male and 33.8% obese. On average, children consumed 39.8 ± 17.2% of calories from highly processed foods. A 10% increase in calories consumed from highly processed foods was associated with a 2.0 point decrease in total HEI-2015 score [95% CI (−2.7, −1.2)], and a 10% increase in calories from minimally processed foods was associated with a 3.0 increase in HEI-2015 score [95% CI (2.1, 3.8)]. Relationships between processing level and BMI-z score were not significant. Among this sample of low-income children, greater intake of highly processed foods was associated with lower dietary quality, but not weight status. Future research should explore prospective associations between food consumption by processing category and weight status in children.

Background: Although there are several valid and reliable dietary screeners to measure child intake patterns, there is a paucity of brief assessment tools targeting under- and overconsumed foods. Objective: To compare the Fueling Learning through Exercise study (FLEX) dietary questionnaire, a screener designed to assess consumption patterns in third to fifth graders, to a validated dietary assessment tool. Methods: The FLEX dietary questionnaire was developed to assess fruit, vegetable, snack, and beverage consumption and was compared to the Block Kids Food Screener (BKFS). Correlations were analyzed using Pearson correlation coefficient. Agreement was assessed using Bland-Altman plots. Results: The sample (n = 63) had mean age of 9.9 years (SD 0.7). Most participants were non-Hispanic white (70%) and eligible for free/reduced price lunch (57%). Correlations between food group categories were significant for all groups ( P < .05) except fruits ( r = 0.51) and sugar-sweetened beverages (SSBs) ( r = 0.21). We found moderate-to-strong correlations between reported vegetable, salty snack, sweet snack, total beverage, milk, and fruit juice consumption (0.62, 0.59, 0.69, 0.47, 0.48, and 0.46, respectively). The FLEX screener reported systematically higher mean servings per day (0.24-1.1) compared to the BKFS (0.05-0.51). Conclusion: Based on these correlations, the FLEX dietary questionnaire performs similarly to a validated tool in assessing intake of under- and overconsumed food groups in a diverse third to fifth grade population. Overall serving size discrepancies are likely due to more relevant food items on the FLEX questionnaire and a more child-friendly format. This study highlights the need to update older diet screeners to reflect current child consumption patterns.

Nutrition plays an important role in proper physical and cognitive functioning. However, there is limited evidence on the relationship between overall diet, cognition, and academic success in children, particularly among low-income and diverse groups. The objective of this study was to examine the relationships between healthful versus less healthful food group intake, cognitive performance, and academic achievement in a diverse sample of schoolchildren. 868 urban schoolchildren (age 8 to 10 years) participated in the study. Intake of healthful (fruits, vegetables, unsweetened beverages) and less healthful (sweet and salty snacks, sugar-sweetened beverages) food groups was determined via a food frequency questionnaire. Digit Span and Stroop test scores were used to assess cognitive performance. Academic achievement was assessed via standardized test scores. Multiple Poisson and multiple linear regression were used to test the associations between diet and cognitive scores. Multiple ordered logistic regression was used to assess the associations between diet and academic achievement. Potential confounders (age, sex, body mass index (BMI) z-score, race/ethnicity, English language learner status, individualized education plan enrollment, physical activity, and parent education level) were tested for inclusion in all models. The sample included 868 children (56.7% girls, 33.2% non-Hispanic white, 26.2% Hispanic, 17.1% multiracial/other, 8.3% non-Hispanic black, 40.5% overweight/obese). The most frequently consumed foods were fruits and sweet snacks (1.9 and 1.6 servings per day, respectively). There were no statistically significant associations between diet and cognitive test scores. Greater intake of less healthful food groups (sweet snacks, salty snacks, and sweetened beverages) was associated with lower math (OR = 0.91, CI [0.84, 0.98], p = 0.014) and English standardized test scores (OR = 0.87, CI [0.80, 0.94, p = 0.001). Greater intake of sweet snacks and fruits was associated with lower English scores (OR = 0.72, 95% CI [0.59, 0.88] p = 0.001, and OR = 0.75, 95% CI [0.72, 0.94] p = 0.003, respectively). Consumption of less healthful food groups was associated with poorer academic achievement. Further research may shed light on unexpected associations between fruit consumption and achievement. Policies targeting multiple dietary components may positively influence child academic achievement and development.