Improving nutrition and physical activity environments of family child care homes: the rationale, design and study protocol of the 'Healthy Start/Comienzos Sanos' cluster randomized trial

Assessing the scalability of healthy eating interventions within the early childhood education and care setting: secondary analysis of a Cochrane systematic review

OBJECTIVE

Early childhood education and care (ECEC) is a recommended setting for the delivery of health eating interventions 'at scale' (i.e. to large numbers of childcare services) to improve child public health nutrition. Appraisal of the 'scalability' (suitability for delivery at scale) of interventions is recommended to guide public health decision-making. This study describes the extent to which factors required to assess scalability are reported among ECEC-based healthy eating interventions.

DESIGN

Studies from a recent Cochrane systematic review assessing the effectiveness of healthy eating interventions delivered in ECEC for improving child dietary intake were included. The reporting of factors of scalability was assessed against domains outlined within the Intervention Scalability Assessment Tool (ISAT). The tool recommends decision makers consider the problem, the intervention, strategic and political context, effectiveness, costs, fidelity and adaptation, reach and acceptability, delivery setting and workforce, implementation infrastructure and sustainability. Data were extracted by one reviewer and checked by a second reviewer.

SETTING

ECEC.

PARTICIPANTS

Children 6 months to 6 years.

RESULTS

Of thirty-eight included studies, none reported all factors within the ISAT. All studies reported the problem, the intervention, effectiveness and the delivery workforce and setting. The lowest reported domains were intervention costs (13 % of studies) and sustainability (16 % of studies).

CONCLUSIONS

Findings indicate there is a lack of reporting of some key factors of scalability for ECEC-based healthy eating interventions. Future studies should measure and report such factors to support policy and practice decision makers when selecting interventions to be scaled-up.

Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years

BACKGROUND

Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health.

OBJECTIVES

To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions.

SEARCH METHODS

We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes.

MAIN RESULTS

We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3).

AUTHORS' CONCLUSIONS

ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.

Effect of Applying Best Practices for Physical Activity and Screen Time to Family Childcare Homes

INTRODUCTION

Early childcare has been identified as an influential setting for children's physical activity. Our objective was to determine whether children aged 2 to 5 years had more accelerometer-measured minutes of physical activity when caregivers in their family childcare home (FCCH) adhered to best practices for physical activity and screen time.

METHODS

We analyzed baseline 2-day observation data collected by using the Environment and Policy Assessment and Observation measure from a cluster-randomized trial. Multilevel linear regression models assessed the association between caregivers' meeting best practices for physical activity and screen time and children's time spent sedentary or in moderate-to-vigorous physical activity (MVPA).

RESULTS

All FCCH caregivers (N = 120) in our study were female, and 67.5% were Hispanic. Participating children (N = 349) were 52.1% female and 57.4% Hispanic. A higher score among caregivers for physical activity best practices was associated with more MVPA (B = 0.79; 95% CI, 0.02 to 1.56; P = .04) for children and less sedentary time (B = -2.07; 95% CI, -3.94 to -0.19; P = .04). A higher caregiver score for screen time best practices was associated with less sedentary time (B = -2.07; 95% CI, -3.94 to -0.19; P = .04) and more MVPA time (B = 0.65; 95% CI, 0.03 to .27; P = .04). Children in homes where caregivers offered them 60 minutes or more of outdoor play and participated in outdoor physical activity had more MVPA and less sedentary time. We found no association between various screen-time best practices and children's sedentary time.

DISCUSSION

Children with caregivers who used more best practices for physical activity and screen time had higher activity levels and spent less time sedentary. These findings could help policy makers and people caring for young children modify existing policies and develop programs to help early childhood caregivers implement best practices to promote children's physical activity.

Nutrition Practices of Family Child Care Home Providers and Children's Diet Quality

OBJECTIVE

To examine the relationship between the diet quality of children aged 2-5 years cared for in family child care homes (FCCHs) with provider adherence to nutrition best practices.

DESIGN

Cross-sectional analysis.

PARTICIPANTS

Family child care home providers (n = 120, 100% female, 67.5% Latinx) and children (n = 370, 51% female, 58% Latinx) enrolled in a cluster-randomized trial.

MAIN OUTCOME MEASURES

Data were collected over 2 days at each FCCH. The Environment and Policy Assessment and Observation tool was used to document whether providers exhibited nutrition practices on the basis of the Nutrition and Physical Activity Self-Assessment for Child Care. Each practice was scored as either present or absent. Children's food intake was observed using Diet Observation at Child Care and analyzed with the Healthy Eating Index-2015.

ANALYSIS

Multilevel linear regression models assessed the association between providers exhibiting best practices regarding nutrition and children's diet quality. The model accounted for clustering by FCCH and controlled for provider ethnicity, income level, and multiple comparisons.

RESULTS

Children in FCCHs in which more of the best practices were implemented had higher diet quality (B = 1.05; 95% confidence interval [CI], 0.12-1.99; P = 0.03). Specifically, children whose providers promoted autonomous feeding (B = 27.52; 95% CI, 21.02-34.02; P < 0.001) and provided nutrition education (B = 7.76; 95% CI, 3.29-12.23; P = 0.001) had higher total Healthy Eating Index scores.

CONCLUSIONS AND IMPLICATIONS

Future interventions and policies could support FCCH providers in implementing important practices such as autonomy feeding practices, talking informally to children about nutrition, and providing healthful foods and beverages.

Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years

BACKGROUND

Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health.

OBJECTIVES

To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions.

SEARCH METHODS

We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes.  MAIN RESULTS: We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3).

AUTHORS' CONCLUSIONS

ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.

Impact of structural-level environmental interventions on physical activity: a systematic review

OBJECTIVE

To determine the effectiveness of structural-level environmental interventions on the changes in PA levels in the populations examined.

METHODS

Natural experiments that involve environmental intervention with structural modification were included. The primary outcome PA levels with consideration of both objective and subjective measurements. An electronic search was carried out in Medline/Pubmed, SCIENCE DIRECT, WEB OF SCIENCE, and CINAHL up to January 2022. Two reviewers screened titles and abstracts, selected studies, extracted relevant data, and examined study quality. A qualitative synthesis was performed.

RESULTS

Twenty-six articles were included. The structural-level environmental interventions included 4 fundamental areas: schools, work environments, streets or cities, and neighborhoods or parks. Of the 26 studies, 21 examined outdoor environments like parks, cities, pedestrian walkways, or steps, while 5 examined indoor or closed environments like schools and workplaces revealing that structural-level environmental interventions improve PA levels with the greatest effect in parks and active transportation. A risk of bias is inherent in natural experiments which is a limitation of this study. In schools and work areas, there is evidence of both decrease in sedentary time and an increase in PA related to environmental modifications.

CONCLUSION

Structural-level environmental modifications in parks and active transportation demonstrated greater effects in promoting PA. Environmental modifications can impact physical activity in the population. Given that the economic and cultural setting is a key variable when considering the effectiveness of structural interventions, and since only 1 of the 26 reviewed articles included such data, more studies examining economic factors are needed especially in low- and middle-income countries like in South America.

TRIAL REGISTRATION

PROSPERO CRD42021229718.

Improving child care through healthy eating and physical activity

PURPOSE OF REVIEW

Most young children in the United States spend a significant portion of their time in early care and education (ECE) settings, commonly known as child care. This review highlights recent literature to support a continued focus and increased investment in embedding nutrition and physical activity standards within ECE settings and systems as a critical strategy for child obesity prevention. Pediatricians can support the promotion of these standards by understanding their local child care settings and sharing information with families about the importance of healthy eating and physical activity in early childhood.

RECENT FINDINGS

The child care sector is fragile and complex, but quality improvement efforts have been successful in improving healthy eating and physical activity. Diverse child care providers, including family child care homes, can effectively embed nutrition and physical activity standards in their environments to promote healthy eating and active play, limit screen time, and support breastfeeding families. A small but growing body of evidence also demonstrates how these standards can be embedded in broader state systems to stimulate change across a state.

SUMMARY

The literature demonstrates progress supporting diverse child care settings to embed high-impact standards into their environments. There is a small but growing body of evidence around systems-change efforts as well. Greater attention is needed on embedding physical activity standards in facilities, especially family child care homes, and state systems.

Associations of Diet with Urinary Trimethylamine-N-Oxide (TMAO) and Its Precursors among Free-Living 10-Year-Old Children: Data from SMBCS

Trimethylamine-N-oxide (TMAO), a diet-derived cometabolite linked to cardiometabolic disease, has been associated with elevated dietary status, particularly in people with kidney failure and adults with dietary modulations. However, the influence of the current diet on TMAO levels in free-living children has not been adequately described. This study was to explore associations of food compositions and dietary diversity with urinary TMAO and its precursor concentrations. Urinary TMAO and its precursor concentrations of 474 healthy children from the Sheyang Mini Birth Cohort were quantified by ultra-performance liquid chromatography−Q Exactive high-resolution mass spectrometer (UPLC-Q Exactive HRMS). Individual food compositions from 24 h dietary recall data were classified into 20 groups and diversity scores were calculated according to the guidelines of the Food and Agriculture Organization of the United Nations (FAO). Associations of urinary TMAO and its precursors with food compositions and dietary diversity scores were assessed by generalized linear regression models. In models adjusted for potential confounders, urinary TMAO was significantly associated with intakes of fish (β, regression coefficient = 0.155, p < 0.05) and vegetables (β = 0.120, p < 0.05). Eggs intake showed positive associations with TMAO’s precursors (trimethylamine: β = 0.179, p < 0.05; choline: β = 0.181, p < 0.05). No association between meat intake and TMAO was observed, whereas meat and poultry intakes were related to the levels of acetyl-L-carnitine and L-carnitine (β: 0.134 to 0.293, p < 0.05). The indicators of dietary diversity were positively correlated to TMAO concentration (β: 0.027 to 0.091, p < 0.05). In this free-living children-based study, dietary factors were related to urinary TMAO and its precursors, especially fish, meat, and eggs. As such, dietary diversity was positively related to the level of TMAO.

Feeding and Activity Environments for Infants and Toddlers in Childcare Centers and Family Childcare Homes in Southeastern New England

Few studies have documented the food and physical activity (PA) environments of childcare settings caring for children <24 months of age, although they may be key contributors to developing child PA and diet patterns. We used an adapted Environment and Policy Assessment and Observation tool to assess the food and activity environments for infants and toddlers in childcare centers (n = 21) and family childcare homes (FCCH) (n = 20) and explored differences by childcare type. Many similarities were found between childcare site types; however, centers used more recommended feeding practices than FCCH (e.g., 100% of center providers talked with toddlers about feelings of hunger or fullness compared to 18% of family childcare providers (FCCP), p < 0.01). Differences in non-recommended feeding practices (e.g., spoon feeding, bottle propping and encouraging unhealthy foods) were mixed between childcare types. Toddlers in centers spent more time playing at higher PA levels than those in FCCH (61 vs. 13 min, p < 0.001). Screen time was observed in FCCH, but not in centers. Differences between childcare types may indicate differential influences on infant and toddler feeding and PA behaviors, which could predict disparate obesity risk. Future research should further observe these behaviors in a larger sample of centers and FCCH to inform childcare interventions and policies.

Food Desert Status of Family Child Care Homes: Relationship to Young Children's Food Quality

Family child care homes (FCCHs) are a favored child care choice for parents of young children in the U.S. Most FCCH providers purchase and prepare foods for the children in their care. Although FCCH providers can receive monetary support from the Child and Adult Care Food Program (CACFP), a federal subsidy program, to purchase nutritious foods, little is known about FCCH providers' access to nutritious foods, especially among FCCH providers serving children from communities that have been historically disinvested and predominantly Black. This study aims to describe the food desert status of FCCHs in Baltimore City, Maryland, and examine the relationship between food desert status and the quality of foods and beverages purchased and provided to children. A proportionate stratified random sample of 91 FCCH providers by CACFP participation status consented. Geographic information system mapping (GIS) was used to determine the food desert status of each participating FCCH. Participants reported on their access to food and beverages through telephone-based surveys. Nearly three-quarters (66/91) of FCCHs were located in a food desert. FCCH providers working and living in a food desert had lower mean sum scores M (SD) for the quality of beverages provided than FCCH providers outside a food desert (2.53 ± 0.81 vs. 2.92 ± 0.70, p = 0.036, respectively). Although the significant difference in scores for beverages provided is small, FCCH providers working in food deserts may need support in providing healthy beverages to the children in their care. More research is needed to understand food purchases among FCCH providers working in neighborhoods situated in food deserts.

A multi-component tailored intervention in family childcare homes improves diet quality and sedentary behavior of preschool children compared to an attention control: results from the Healthy Start-Comienzos Sanos cluster randomized trial

Background

Childcare settings are important environments for influencing child eating and physical activity (PA). Family childcare homes (FCCH) care for many children of low-income and diverse racial/ethnic backgrounds who are at greater risk for poor diet quality, low PA, and obesity, but few interventions have targeted this setting. The aim of this study was to assess the efficacy of a multicomponent intervention conducted in FCCH on the diet quality and PA of 2–5 year old children in their care.

Trial design

Cluster randomized trial.

Methods

The cluster-randomized trial, Healthy Start/Comienzos Sanos (2015–2019) evaluated an 8-month nutrition and PA intervention that included four components: (1) monthly telephone calls from a support coach using brief motivational interviewing, (2) tailored reports, newsletters and videos, (3) group support meetings, and (4) active play toys. After completing baseline measurement, FCCH were randomized into intervention or comparison groups in matched pairs. Both groups received the same intervention components but on different topics (intervention: nutrition/PA vs. comparison: reading readiness/literacy). Evaluation staff were blinded to group assignment. Child primary outcome measures collected at baseline and 8-months included: 1) Healthy Eating Index (HEI-2015) scores calculated from diet observation, and 2) accelerometer measurement of PA. Process measures were collected from field data and provider surveys. Generalized Estimating Equation Models assessed changes in HEI-2015 scores and PA over time by experimental condition.

Results

Ethnically diverse FCCH providers (n = 119) and 2-to-5-year-old children in their care (n = 377) were included in the final analysis. Process evaluation showed high participation in all intervention components except for group meetings. Compared to children in comparison group FCCH, children in intervention FCCH increased total HEI-2015 scores by 7.2 points (p < .001) including improvement in component scores for vegetables (0.84 points, p = .025) and added sugar (0.94 points, p = .025). For PA, compared to children in the comparison group, children in intervention FCCH decreased sedentary time by 5.7% (p = .021).

Conclusions

The multicomponent Healthy Start intervention was effective in improving diet quality and sedentary behavior of children in FCCH, which demonstrates the promise of obesity prevention interventions in this setting. Future research could include enhancing the Healthy Start intervention to strengthen the PA component, considering virtual peer support, and determining how to best translate and disseminate the intervention into FCCH nationally.

Trial registration

National Institutes of Health, NCT02452645. Registered 5 May 2015.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01272-6.

Teacher Training and Engagement in Health Promotion Mediates Health Behavior Outcomes

School-based health promotion interventions have been shown to lead to measurable changes in the nutrition and physical activity behaviors. This study examines whether the impact of an intervention program on students’ healthy eating and physical activity was mediated by teacher training and engagement in health promotion. The trial was conducted in three phases: needs assessment of the baseline survey of teachers, mothers’ and children; intervention among seven randomly selected schools that included teacher training in healthy eating and physical activity; and a post-intervention evaluation survey. The SPSS PROCESS for Hayes (Model8) was used to determine moderation and mediation effects. The difference in difference (DID) was calculated for the three main outcomes of the study: eating breakfast daily (DID = 17.5%, p < 0.001); consuming the recommended servings of F&V (DID = 29.4%, p < 0.001); and being physically active for at least 5 days/week (DID = 45.2%, p < 0.001). Schoolchildren’s eating breakfast daily was mediated by their teachers’ training in nutrition (β = 0.424, p = 0.002), teachers’ engagement (β = 0.167, p = 0.036), and mothers preparing breakfast (β = 1.309, p < 0.001). Schoolchildren’s consumption of F&V was mediated by teachers’ engagement (β = 0.427, p = 0.001) and knowing the recommended F&V servings (β = 0.485, p < 0.001). Schoolchildren’s physical activity was mediated by their teachers’ training in physical activity (β = 0.420, p = 0.020) and teachers’ engagement (β = 0.655, p < 0.001). Health behavior changes in the school setting including improvements in eating breakfast, consuming the recommended F&V and physical activity was mediated by teacher training and engagement. Effective teacher training leading to teacher engagement is warranted in the design of health-promotion interventions in the school setting.

Pediatric Obesity Prevention and Treatment Among Hispanics: A Systematic Review and Meta-Analysis

INTRODUCTION

The rates of pediatric obesity in the U.S. are highest among Hispanics. There is no existing meta-analysis of the effects of obesity interventions among Hispanic youth. This systematic review and meta-analysis assesses the effects of obesity prevention and treatment interventions on Hispanic youth's weight status and lifestyle behaviors.

METHODS

PubMed, PsycINFO, and Scopus were searched between January 1, 2000 and October 30, 2020. Interventions with ≥50% Hispanic youth aged 0-18 years were included. Using a weighted inverse-variance procedure, fixed-effects and random-effects models were run for an overall effect size on the basis of the Q_total test statistic. Hedges' g was calculated for outcomes of interest between baseline and postintervention separately for studies with multiple versus single conditions. Continuous and categorical moderators were also examined.

RESULTS

A total of 1,103 articles were screened, of which 117 were included in the narrative synthesis and 105 in the meta-analysis (n=49,276 youth). The overall effects for RCT/quasi-experimental studies on BMI status (g= -0.15, SE=0.03, 95% CI= -0.20, -0.10), waist circumference (g= -0.15, SE=0.10, 95% CI= -0.35, -0.05), physical activity (g=0.12, SE=0.05, 95% CI=0.03, 0.22), fruit and vegetable intake (g=0.08, SE=0.02, 95% CI=0.03, 0.12), and sugar-sweetened beverage intake (g= -0.07, SE= 0.03, 95% CI= -0.13, -0.01) were small. Intervention effects varied by participant developmental stage, SES, study setting, and lifestyle behavior target.

DISCUSSION

Beyond developing more impactful interventions to address obesity among Hispanic youth, findings highlight the need for targeted policies and more easily disseminable interventions that can spread small effects across a population for maximal public health impact.

Family child care home providers' self-reported nutrition and physical activity practices, self-efficacy, barriers and knowledge: baseline findings from happy healthy homes

OBJECTIVE

Describe nutrition and physical activity practices, nutrition self-efficacy and barriers and food programme knowledge within Family Child Care Homes (FCCH) and differences by staffing.

DESIGN

Baseline, cross-sectional analyses of the Happy Healthy Homes randomised trial (NCT03560050).

SETTING

FCCH in Oklahoma, USA.

PARTICIPANTS

FCCH providers (n 49, 100 % women, 30·6 % Non-Hispanic Black, 2·0 % Hispanic, 4·1 % American Indian/Alaska Native, 51·0 % Non-Hispanic white, 44·2 ± 14·2 years of age. 53·1 % had additional staff) self-reported nutrition and physical activity practices and policies, nutrition self-efficacy and barriers and food programme knowledge. Differences between providers with and without additional staff were adjusted for multiple comparisons (P < 0·01).

RESULTS

The prevalence of meeting all nutrition and physical activity best practices ranged from 0·0-43·8 % to 4·1-16·7 %, respectively. Average nutrition and physical activity scores were 3·2 ± 0·3 and 3·0 ± 0·5 (max 4·0), respectively. Sum nutrition and physical activity scores were 137·5 ± 12·6 (max 172·0) and 48·4 ± 7·5 (max 64·0), respectively. Providers reported high nutrition self-efficacy and few barriers. The majority of providers (73·9-84·7 %) felt that they could meet food programme best practices; however, knowledge of food programme best practices was lower than anticipated (median 63-67 % accuracy). More providers with additional staff had higher self-efficacy in family-style meal service than did those who did not (P = 0·006).

CONCLUSIONS

Providers had high self-efficacy in meeting nutrition best practices and reported few barriers. While providers were successfully meeting some individual best practices, few met all. Few differences were observed between FCCH providers with and without additional staff. FCCH providers need additional nutrition training on implementation of best practices.

Quality of Nutrition Environments, Menus and Foods Served, and Food Program Achievement in Oklahoma Family Child Care Homes

Child care environments foster children's healthy eating habits by providing exposure to healthy foods and feeding practices. We assessed the healthfulness of nutrition environments, menu/meal quality, and the achievement of Child and Adult Care Food Program (CACFP) guidelines and best practices in Oklahoma CACFP-enrolled family child care homes (FCCHs) (n = 51). Two-day classroom observations were conducted. Healthfulness of classroom nutrition environments was assessed using the Environment and Policy Assessment and Observation (EPAO). Foods served to and consumed by children were quantified using the Dietary Observations in Child Care (DOCC) tool. Nutrient analysis was performed to determine total energy for foods listed on menus, served to, and consumed by children. Menu and meal food variety and CACFP Guideline Achievement Scores were determined. Average nutrition environment score was 11.7 ± 1.2 (61.5% of maximum possible score). Energy (kcals) from menus and consumed by children was insufficient to meet two-thirds of their daily reference intake. Children were exposed to 1.7 vegetables and 1.3 fruits per meal. CACFP Guideline Achievement Scores were 66.3% ± 7.8 for menus and 59.3% ± 7.6 for mealtimes. Similar to previous research, our findings indicate a need for improved FCCH nutrition practices. Tailored interventions for FCCHs are needed.

Family Child Care Providers' Nutrition Practices and Policies: Happy Healthy Homes

OBJECTIVE

Determine the impact of family child care home providers' nutrition knowledge, confidence, and perceived barriers on program nutrition best practices and written nutrition policies.

METHODS

Cross-sectional analysis of self-reported surveys of 49 female providers in Oklahoma City analyzed with Spearman correlation, multivariate linear and logistic regression (α < 0.05).

RESULTS

Confidence and barriers were significantly correlated (r_s(47) = -0.4, P = 0.004). Independent variables explained 36% of practices (r² = 0.357). Nutrition knowledge (standard β = 0.442, P = 0.001) and confidence (standard β = 0.358, P = 0.008) were significantly associated with practices; barriers were not. No significant association between independent variables and written policies resulted.

CONCLUSIONS AND IMPLICATIONS

Provider nutrition knowledge and confidence appear to be suitable targets to improve nutrition practices. Further research can evaluate possible influences on the presence and quality of family child care home written nutrition policies and specific nutrition policy topics associated with healthier nutrition practices.

Ethnic Differences in Family Childcare Providers' Nutrition- and Activity-Related Attitudes and Barriers

Objective

The aim of the study is to examine family childcare providers' (FCCPs) attitudes and perceived barriers related to nutrition, physical activity (PA), and screen time (ST) behaviors of preschool children, exploring differences by provider ethnicity.

Design

Baseline survey data from a cluster-randomized trial. Participants. Around 168 FCCPs completed a telephone survey, and 126 completed both telephone and in-person surveys. Main Outcome Measures. Phone and in-person surveys include 44 questions to assess FCCPs attitudes and perceived barriers regarding nutrition, PA, and ST in the family childcare home. Analysis. Associations by ethnicity (Latinx vs. non-Latinx) were assessed by ANOVA, adjusting for provider education and Bonferroni correction.

Results

Some FCCP attitudes were consistent with national obesity prevention guidelines; for example, most FCCPs agreed that they have an important role in shaping children's eating and PA habits. However, many FCCPs agreed with allowing children to watch educational TV and did not agree that children should serve themselves at meals. Adjusting for education, there were statistically significant differences in attitude and perceived barrier scores by provider ethnicity. For example, Latinx FCCPs were more likely to agree that they should eat the same foods as children(p < .001) but less likely to agree that serving the food at meal and snack time is the adult's responsibility (p < .001). Latinx FCCPs were more like to perceive barriers related to children's safety playing outside (p < .001). Conclusions and Implications. While FCCPs hold some nutrition-, PA-, and ST-related attitudes consistent with national guidelines, training opportunities are needed for FCCPs to improve knowledge and skills and overcome perceived barriers related to nutrition and PA. Latinx FCCPs, in particular, may need culturally tailored training and support to overcome misperceptions and barriers.

Physical Activity Levels among Preschool-Aged Children in Family Child Care Homes: A Comparison between Hispanic and Non-Hispanic Children Using Accelerometry

Obesity prevalence among Hispanic children is twice that of non-Hispanic white children; Hispanic children may also engage in less physical activity (PA) compared to non-Hispanic white children. A large number of U.S. preschool-aged children are cared for in Family Child Care Homes (FCCH), yet few studies have examined PA levels and ethnicity differences in PA levels among these children. We examine baseline data from a cluster-randomized trial (Healthy Start/Comienzos Sanos) to improve food and PA environments in FCCHs. Children aged 2-to-5-years (n = 342) wore triaxial accelerometers for two days in FCCHs. Variables examined include percentage of time (%) spent in sedentary, and light, moderate, and vigorous PA. The full dataset (n = 342) indicated sedentary behavior 62% ± 11% of the time and only 10% ± 5% of the time spent in moderate-to-vigorous PA. Among children in the upper-median half of wear-time (n = 176), Hispanic children had significantly greater % sedentary time vs. Non-Hispanic children (66.2% ± 8.3% vs. 62.6% ± 6.9%, p = 0.007), and lower % light PA (25.4% ± 6.3% vs. 27.7% ± 4.9%, p = 0.008) and moderate PA (5.5% ± 2.1% vs. 6.4% ± 2.2%, p = 0.018). Our results highlight that PA levels were lower among our sample compared to previous studies, and that Hispanic children were more sedentary and less active compared to non-Hispanic white children.

Dietary Contributors to Food Group Intake in Preschool Children Attending Family Childcare Homes: Differences between Latino and Non-Latino Providers

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.

Rationale, design and study protocol of the 'Strong Families Start at Home' feasibility trial to improve the diet quality of low-income, ethnically diverse children by helping parents improve their feeding and food preparation practices

There is an urgent need to create effective interventions that help parents establish a healthy diet among their children early in life, especially among low-income and ethnically and racially diverse families. U.S. children eat too few fruits, vegetables and whole grains, and too many energy dense foods, dietary behaviors associated with increased morbidity from chronic diseases. Parents play a key role in shaping children's diets. Best practices suggest that parents should involve children in food preparation, and offer, encourage and model eating a variety of healthy foods. In addition, while parents help to shape food preferences, not all children respond in the same way. Certain child appetitive traits, such as satiety responsiveness (sensitivity to internal satiety signals), food responsiveness (sensitivity to external food cues), and food fussiness may help explain some of these differences. Prior interventions to improve the diet of preschool children have not used a holistic approach that targets the home food environment, by focusing on food quality, food preparation, and positive feeding practices while also acknowledging a child's appetitive traits. This manuscript describes the rationale and design for a 6-month pilot randomized controlled trial, Strong Families Start at Home, that randomizes parents and their 2-to 5-year old children to either a home-based environmental dietary intervention or an attention-control group. The primary aim of the study is to explore the feasibility and acceptability of the intervention and evaluation and to determine the intervention's preliminary efficacy on child diet quality, feeding practices, and availability of healthy foods in the home.

Interventions for increasing fruit and vegetable consumption in children aged five years and under

BACKGROUND

Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Testing the effects of interventions to increase consumption of fruit and vegetables, including those focused on specific child-feeding strategies or broader multicomponent interventions targeting the home or childcare environment is required to assess the potential to reduce this disease burden.

OBJECTIVES

To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2020. We searched Proquest Dissertations and Theses in November 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials.

SELECTION CRITERIA

We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures.

MAIN RESULTS

We included 80 trials with 218 trial arms and 12,965 participants. Fifty trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 23 of the 80 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption, equivalent to an increase of 5.30 grams as-desired consumption of vegetables (SMD 0.50, 95% CI 0.29 to 0.71; 19 trials, 2140 participants; mean post-intervention follow-up = 8.3 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.32, 95% CI 0.09 to 0.55; 9 trials, 2961 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.13, 95% CI -0.02 to 0.28; 11 trials, 3050 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) or unintended adverse consequences of interventions (2 trials), limiting our ability to assess these outcomes. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding.

AUTHORS' CONCLUSIONS

Despite identifying 80 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited in terms of quality of evidence and magnitude of effect. Of the types of interventions identified, there was moderate-quality evidence that multicomponent interventions probably lead to, and low-quality evidence that child-feeding practice may lead to, only small increases in fruit and vegetable consumption in children aged five years and under. It is uncertain whether parent nutrition education or child nutrition education interventions alone are effective in increasing fruit and vegetable consumption in children aged five years and under. Our confidence in effect estimates for all intervention approaches, with the exception of multicomponent interventions, is limited on the basis of the very low to low-quality evidence. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Exploring the Provider-Level Socio-Demographic Determinants of Diet Quality of Preschool-Aged Children Attending Family Childcare Homes

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.

A systematic review of interventions to improve the dietary intake, physical activity and weight status of children attending family day care services

OBJECTIVE

To (i) identify and synthesise findings from interventions to improve the dietary intake, physical activity and weight status of children aged 0-6 years attending family day care services; and (ii) assess the impact of interventions on family day care environments, intervention cost and adverse outcomes.

DESIGN

Medline in Process, PsycINFO, ERIC, Embase, CINAHL, CENTRAL and Scopus databases were searched in March 2019. Studies were included if they (i) evaluated an intervention to improve the diet, physical activity and/or weight of children aged 0-6 years; (ii) were delivered in family day care services; (iii) targeted child diet, physical activity and/or weight; and (iv) used a parallel control group design. Screening was undertaken by two reviewers with disagreements resolved by a third reviewer.

SETTING

Family day care services, also known as family childcare homes.

PARTICIPANTS

Children aged 0-6 years attending family day care services.

RESULTS

In total, 8977 titles were retrieved, and 199 full-texts reviewed. No studies met the inclusion criteria for the primary outcome; however, two studies reporting on the secondary outcome of family day care environments were included. The 4-year community-wide obesity prevention programme and the 12-month train-the-trainer programme both reported statistically significant improvements in the healthy eating and physical activity environments of family day care, compared to cross-sectional state-average control groups.

CONCLUSIONS

Findings highlight few existing interventions in family day care services and a need for high-quality controlled trials to identify effective interventions to improve children's diet, activity and weight in this setting.

Communication With Family Child Care Providers and Feeding Preschool-Aged Children: Parental Perspectives

OBJECTIVE

To describe parent communication about child nutrition-related topics with family child care providers (FCCPs).

DESIGN

Five focus groups conducted from December, 2016 to July, 2017.

PARTICIPANTS

Parents (n = 25) of 2- to 5-year-old children attending family child care homes in Rhode Island.

PHENOMENON OF INTEREST

How and what parents communicate about with FCCPs related to feeding young children.

ANALYSIS

Recordings were transcribed verbatim. Two independent coders employed content analysis to analyze transcripts. Reflections, emerging themes, and final themes were discussed.

RESULTS

Participants were recruited through FCCPs and were mostly Hispanic and female. Parents mainly communicated with FCCPs in person. Communication with FCCPs related to how and what children were fed did not occur frequently, and parents usually inquired about how much children ate.

CONCLUSIONS AND IMPLICATIONS

Parents did not engage in frequent child nutrition-related communication with their FCCP. However, parents trusted FCCPs to provide healthy and sufficient food to children. More research is needed to identify effective strategies that facilitate child nutrition communication between parents and FCCPs.

Interventions for increasing fruit and vegetable consumption in children aged five years and under

BACKGROUND

Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden.

OBJECTIVES

To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 August 2019. We searched Proquest Dissertations and Theses in May 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials.

SELECTION CRITERIA

We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures.

MAIN RESULTS

We included 78 trials with 214 trial arms and 13,746 participants. Forty-eight trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 20 of the 78 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is very low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 4.45 g as-desired consumption of vegetables (SMD 0.42, 95% CI 0.23 to 0.60; 18 trials, 2004 participants; mean post-intervention follow-up = 8.2 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.34, 95% CI 0.10 to 0.57; 9 trials, 3022 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.36 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; 11 trials, 3078 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) and unintended adverse consequences of interventions (2 trials), limiting their assessment. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding.

AUTHORS' CONCLUSIONS

Despite identifying 78 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low-quality evidence that child-feeding practice may lead to, and moderate-quality evidence that multicomponent interventions probably lead to small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Micronutrient Adequacy in Preschool Children Attending Family Child Care Homes

Limited data is available on the micronutrient intake and adequacy in preschool children enrolled in family child care homes (FCCH). The goal of this paper is to describe the micronutrient adequacy relative to age-specific recommendations of preschool-aged children (aged 2-5 years) attending FCCH in Rhode Island (RI). Dietary data among younger preschoolers (aged 2-3 years), n = 245) and older preschoolers (aged 4-5 years), n = 121) in 118 RI FCCH (N = 366 children) were analyzed. Nutrient adequacy was assessed as the amount of nutrient per 1000 kcal of the diet that would meet the Institute of Medicine nutrient requirements (critical nutrient density), and it was compared to the observed nutrient densities of the children. The sodium:potassium ratio was also calculated. For most micronutrients, the observed density met or exceeded the recommendation, meaning the children's intake was adequate. However, a high proportion of children had nutrient densities under the recommendation for vitamins D, E, K, and potassium (86.1%, 89.1%, 70.8%, and 99.2% of children, respectively). The mean vitamin B12, potassium, and zinc densities were statistically higher in younger vs. older preschoolers (p < 0.05 for all). Low densities in calcium and vitamins K and B5 were more frequent in older children vs. younger children (p < 0.05). In addition, older preschoolers had a higher sodium:potassium ratio than younger children (p < 0.05). The micronutrient intake density was adequate for most nutrients. However, intake of some nutrients was of concern. Further attention to training and compliance in FCCH may improve the diet quality of those cared for in these settings.