Previous studies have linked short sleep duration, poor sleep quality, and late sleep timing with lower health-related quality of life (HRQoL) in children. However, almost all studies relied solely on selfreported sleep information and most were conducted in high income countries. To address these gaps, we studied both device-measured and self-reported sleep characteristics in relation to HRQoL in a sample of children from 12 countries that vary widely in terms of economic and human development. MethodsThe study sample included 6,626 children aged 9-11 years from Australia,

Since food preferences develop during early childhood and contribute to dietary patterns that can track into adulthood, it is critical to support healthy food environments in places where children spend significant amounts of time in, such as childcare. It is important to understand what factors influence the diet quality of children cared for in family childcare homes (FCCH). Methods: This study used baseline data from a cluster-randomized trial in FCCH, Healthy Start/Comienzos Sanos. Surveys capturing providers’ socio-demographic characteristics were completed. Food and beverage consumptions were estimated using the Dietary Observation in Childcare protocol, and diet quality was calculated using the Healthy Eating Index (HEI)-2015. Comparison of mean HEI scores by provider socio-demographic variables were completed using ANOVAs, followed by multiple linear regression models for significant variables. Post-hoc ANOVA models compared mean HEI-2015 sub-components by income and ethnicity. Results: Significant differences in mean HEI-2015 scores were found for provider income level (less than $25,000, HEI: 64.8 vs. $25,001–$50,000: 62.9 vs. $75,001 or more: 56.2; p = 0.03), ethnicity (Non-Latinx: 56.6 vs. Latinx: 64.4; p = 0.002), language spoken outside of childcare (English: 58.6 vs. Spanish: 64.3, p = 0.005), and language spoken in childcare (English: 59.6 vs. Spanish: 64.4; p = 0.02). In linear regression models, a higher provider income ($75,001 or more) was negatively and significantly associated with the total HEI-2015 scores (β = −9.8, SE = 3.7; p = 0.009) vs. lower income (less than $25,000). When entering provider income and ethnicity to the same model, adjusting for Child and Adult Food Program (CACFP), only ethnicity was significant, with Latinx being positively associated with total HEI-2015 scores vs. non-Latinx (β = 6.5, SE = 2.4; p = 0.007). Statistically significant differences were found by ethnicity and language for greens/beans, total protein, and seafood and plant protein HEI-2015 component scores. Discussion: Lower income, and Latinx providers cared-for children had higher diet quality in FCCH compared to the other providers. Future studies should better understand what specific foods contribute to each of the HEI-2015 components in order to better tailor trainings and interventions.

While there are several factors that contribute to the diet quality of children in childcare, one contributing factor in Family Childcare Homes (FCCHs) is the provider’s ethnicity. However, research examining the food items provided in this setting is limited; in particular, with regards to differences between FCCHs of Latino and non-Latino providers. The aim of this study was to identify and describe the food items that contribute to food group intake in preschool-aged children attending FCCHs, and to examine differences by provider ethnicity. This secondary data analysis used baseline data from Healthy Start/Comienzos Sanos: a cluster-randomized trial. Children’s dietary intake was collected using the Dietary Observation in Child Care method and entered into Nutrition Data System for Research software. Food groups were based on the Nutrition Coordinating Center classification. Contribution of food items to their respective food group was calculated as a proportion, using ratio of means and presented as a percentage. Ethnic differences were tested with ANCOVA (p < 0.05) with Bonferroni adjustments for multiple comparisons. All providers (n = 120) were female and 67.5% were Latino. Most fruit consumed by children was in the form of juice (85%), three-fourths of the grains consumed were refined (75%), and half of the sweets consumed were syrup/honey/jelly (50%). Most of the vegetables consumed were non-starchy (61%), nearly three-fourths of dairy consumed was low-fat (71%), and vegetable oils contributed the most to the fats group (89%). Food items differed by provider’s ethnicity, with children cared for by non-Latino providers consuming a higher proportion of fruit juice, animal fats and a lower proportion of legumes (p < 0.001 for all). Children with Latino providers consumed a lower proportion of non-starchy vegetables, low-fat dairy, and nuts/seeds (p < 0.001 for all). FCCH providers could offer more whole fruits and grains and a greater variety of vegetables. Differences by ethnicity suggest providers could benefit from culturally tailored recommendations.

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Introduction: We examined the scope of literature including non-parental caregiver involvement in children obesity prevention interventions. Methods: We conducted a scoping review following the Arksey and O’Malley framework, including only interventionreporting the effect of an intervention on growth, weight, or early childhood obesity risk among children ages 0 to three years, published between 2000 and 2021. Interventions that did not include non-parental caregivers (adults regularly involved in childcare other than parents) were excluded. Results: Of the 14 studies that met the inclusion criteria, all were published between 2013 and 2020, and most interventions (n = 9) were implemented in the United States. Eight of the 14 interventions purposefully included other non-parental caregivers: five included both parents and non-parental caregivers, and the remaining three included only non-parental caregivers. Most interventions (n = 9) showed no significant impact on anthropometric outcomes. All interventions found improvements in at least one behavioral outcome (e.g., food groups intake (n = 5), parental feeding practices (n = 3), and screen time (n = 2)). This review can inform future interventions that plan to involve non-parental caregivers, which may be beneficial in shaping early health behaviors and preventing obesity early in life.