Keys to healthy family child care homes: Results from a cluster randomized trial

From preschool to policy: A scoping review of recommended interventions for a systems approach to improve dietary intake in early childhood

Early childhood is a key opportunity to establish healthy eating behaviors and prevent future non-communicable diseases associated with poor diets. How to effectively intervene in the system of the many determinants influencing children's dietary intake remains unclear. This scoping review aimed to map the determinants of nutrition and eating that have been addressed in early childhood nutrition interventions and identify which of these improve dietary intake. We searched six electronic databases to identify eligible studies published from January 2000 to January 2024. We included studies of any interventions reporting dietary intake among children aged between two and five years. A total of 193 eligible studies were identified and mapped to the Determinants of Nutrition and Eating (DONE) Framework. Parent (n = 97) and child (n = 76) food knowledge and skills were most frequently addressed. Most studies addressing parent (67%) and child (66%) food knowledge and skills reported improvements in dietary intake. Government regulations such as healthy food subsidies, and food advertising and labeling interventions showed promised, with 82% of studies reporting improvements in dietary intake. However, these interventions were predominantly implemented in the United States and Chile. This review provides a comprehensive and systematic map of a range of interventions that positively influence nutritional outcomes in preschool-aged children but recommends further policy-level action globally.

How to integrate and leverage digital health modalities for health promotion in early childhood education: Opportunities to improve intervention access and engagement

Early childhood education (ECE) settings are important for the development of children's healthy eating and physical activity behaviors. Efforts to disseminate and implement health behavior promotion strategies in ECE settings have seldom optimized digital health, a missed opportunity highlighted by the COVID-19 pandemic. In this commentary, we discuss previous efforts to shift ECE-based health behavior programs to digital health modalities, notable opportunities for digital health in these settings, and a multilevel perspective to support future efforts. We propose future directions in digital health literacy, reaching various ECE settings, implementation science, and community partnerships to expand the use of digital interventions.

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 designed to increase children's 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 benefits and harms 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 March 2023. We searched Proquest Dissertations and Theses in December 2022. We reviewed reference lists of included trials and contacted authors of the included trials to identify further potentially relevant trials.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-randomised controlled trials (C-RCTs) and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both amongst children aged five years and under compared to no-intervention control, 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. 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 certainty of evidence (GRADE approach) using Cochrane procedures.

MAIN RESULTS

We included 53 trials with 120 trial arms and 12,350 participants. Sixteen trials examined the impact of child-feeding practice interventions only (e.g. repeated food exposure) in increasing child vegetable intake. Twenty trials examined the impact of multicomponent interventions primarily conducted in the childcare setting (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Seventeen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children only in increasing child fruit and vegetable intake and one each examined a child-focused mindfulness intervention or providing families with fruit and vegetable interventions. We judged nine of the 53 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 moderate-certainty evidence that child-feeding practice interventions versus no-intervention control probably have a small positive effect on child vegetable consumption, equivalent to an increase of 15.5 grams as-desired consumption of vegetables (SMD 0.44, 95% confidence interval (CI) 0.24 to 0.65; 15 trials, 1976 participants; mean post-intervention follow-up = 12.3 weeks). No trials in this comparison reported information about intervention costs. One trial reported no harms or serious unintended adverse consequences (low-certainty evidence). Multicomponent interventions versus no-intervention control probably have a small effect on child consumption of fruit and vegetables (SMD 0.27, 95% CI 0.11 to 0.43; 14 trials, 4318 participants; moderate-certainty evidence; mean post-intervention follow-up = 4.0 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. One trial, which tested a multicomponent garden-based intervention, reported the installation of the garden as part of the intervention to be USD 1500 per childcare centre (low-certainty evidence). No trials in this comparison reported information about unintended adverse consequences of interventions. Parent nutrition education interventions may have little to no short-term impact on child consumption of fruit and vegetables versus no-intervention control (SMD 0.10, 95% CI -0.02 to 0.22; 14 trials, 4122 participants; low-certainty evidence; mean post-intervention follow-up = 6.4 weeks). One trial reported the total estimated cost of delivering a parent nutrition education intervention for infant feeding, physical activity and sedentary behaviours delivered by a dietitian as approximately AUD 500 per family (low-certainty evidence). One trial reported no unintended adverse consequences on family food expenditure following implementation of an intervention delivered over the telephone to improve parental knowledge and skills about the home food environment (low-certainty evidence). Trials reported receiving governmental or charitable funds, except for one trial reporting industry funding.

AUTHORS' CONCLUSIONS

There was moderate-certainty evidence that child-feeding practice interventions and multicomponent interventions probably lead to only small increases in fruit and vegetable consumption in children aged five years and under. Parent nutrition education interventions may have little or no effect on increasing fruit and vegetable consumption in children aged five years and under. Future research should be prioritised on assessment and reporting of both intervention cost and adverse effects, and development and evaluation of interventions in research gaps, including in a broader range of settings and in low- and middle-income countries. This review continues to be maintained as a living systematic review with monthly searches for new evidence and incorporation of relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Effectiveness of Interventions Promoting Dietary Intake, Physical Activity, and Healthy Weight Status of Children in Family Child Care: A Systematic Review

INTRODUCTION

This systematic review examines the effectiveness of interventions in family child care (FCC) on (1) children's dietary intake, physical activity levels and weight, and (2) FCC health-promoting environments, policies, and practices. Quasi-experimental studies measuring these outcomes were included.

METHODS

All available articles up to July 2023 were searched using MEDLINE, ERIC, CINAHL, Embase, Scopus, and A+ Education, and 15 interventions were included. Methodological quality was assessed with the Effective Public Health Practice Project Assessment tool.

RESULTS

Thirteen studies were weak, and 2 strong in quality. Four interventions included children's dietary intake as an outcome measure, 2 included physical activity, and 3 weight status. Twelve interventions assessed nutrition and 7 physical activity environmental outcomes.

DISCUSSION

Interventions in FCC improved children's dietary intake, but their impact on physical activity and weight status was inconclusive. Furthermore, positive impacts were observed in environmental outcomes related to nutrition, whereas research on physical activity environmental outcomes was limited.

IMPLICATIONS FOR RESEARCH AND PRACTICE

Future research could replicate interventions to validate effectiveness and understand positive outcome mechanisms. Future interventions might use FCC stakeholders' input, incorporate innovative physical activity components, enhance FCC providers' position as role models, involve parents, and target those groups that are at a high risk of being obese.

Systems map of interventions to improve dietary intake of pre-school aged children: A scoping review

Implementation and sustaining impact of early childhood nutrition interventions in practice remains a challenge. An understanding of the extent to which determinants across multiple levels of the food system are being addressed may improve success. This literature review aimed to synthesise the evidence on interventions targeting dietary intake and eating behaviours in preschool children using a systems approach. Eligible studies included intervention studies targeting the dietary intake of preschool children aged 2-5 years in high income countries, published in English after January 2000. Interventions were categorised to the Determinants of Nutrition and Eating (DONE) framework for children developed and evaluated by experts across multiple fields. The framework maps and ranks 411 factors driving eating behaviours and nutrition and can be used to systematically summarise determinants. DONE ranks each determinant for its perceived research priority. A total of 160 eligible studies were identified. Most interventions targeted interpersonal (n = 101, 63.1%) and individual (n = 85, 53.1%) level determinants, with fewer targeting environmental (n = 55, 34.4%) and policy level (n = 17, 10.6%) determinants. The most frequently addressed determinants were Parental Resources and Risk Factors (n = 85) and Children's Food Knowledge, Skills and Abilities (n = 67). These determinants had a Moderate research priority rating. Home Food Availability and Accessibility at the environmental level is classified as the highest research priority, however, only 15 of 160 interventions addressed this determinant. This review highlights home food availability and accessibility as potential leverage points for future interventions to improve children's dietary intake and eating behaviours.

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.

Mediation of the association between social environmental characteristics of family childcare home and weight status in children by diet quality

BACKGROUND

The food and beverages served in family childcare homes (FCCHs) may play an important role in the development of childhood overweight and obesity. This analysis examines whether children's diet quality mediates the relationship between foods and beverages served in FCCHs and preschool-aged children's weight status.

METHODS

Trained and certified staff conducted observations for two days in each FCCH, using the Environment and Policy Assessment and Observation (EPAO) measure to determine the foods and beverages served to children (N = 370) in FCCHs (N = 120). They also used the Dietary Observation in Child Care (DOCC) protocol to assess children's food and beverage intake during childcare, from which we calculated the Healthy Eating Index-2015 (HEI), a measure of diet quality. Height and weight were measured for each child with parent consent from which the child's body mass index (BMI) z-scores were calculated. A multilevel mediation analysis was conducted to indicate whether children's diet quality mediates the relations between food and beverage served in FCCHs and preschool-aged children's weight status.

RESULTS

Children's total HEI scores significantly mediated the relationship between the EPAO subscale Food Provided and children's BMI z-scores (B=-0.01, p < .05, 95% CI = [-0.03, - 0.002]). Further, the EPAO subscale Food Provided was positively associated with the total HEI score (B = 0.75, p < .01, 95% CI = [0.32, 1.18]). Total HEI scores were negatively associated with BMI z-score (B=-0.01, p < .05, 95% CI = [-0.02, - 0.001]).

CONCLUSION

Children's diet quality did significantly mediate the relationship between the food served in FCCHs and children's weight status. More longitudinal studies with longer follow-up periods need to be conducted to confirm these relationships. Further, future studies need to examine the relationships between a broader spectrum of FCCH environmental characteristics and home environment with children's weight status, as well as other mediators including physical activity.

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.

Policy, systems, and environmental interventions addressing physical activity in early childhood education settings: A systematic review

Policy, systems, and environmental (PSE) approaches can facilitate physical activity in priority populations (e.g., racial and ethnic minority, low wealth groups) within early childhood education (ECE) settings. The purpose of this review was to 1) characterize the inclusion of priority populations within ECE physical activity interventions containing PSE approaches and 2) identify and describe interventions within these populations. Seven databases were systematically searched (January 2000-Febrary 2022) for ECE-based interventions focusing on children (0-6 years) that utilized at least one PSE approach. Eligible studies included a child physical activity or physical activity environment outcome and child or center-level population characteristics. Forty-four studies, representing 42 interventions were identified. For Aim 1, half of interventions included one PSE approach (21/42), with only 11/42 including three or more approaches. Physical environment changes [e.g., adding play equipment, modifying space (25/42)] were the most used PSE approaches followed by system [e.g., integrating activity into routines, (21/42)] and policy [e.g., outdoor time (20/42)] approaches. Nearly half of interventions were conducted in predominantly priority populations (18/42). Studies were primarily rated as good (51%) or fair (38%) methodological quality using the Downs and Black checklist. In Aim 2, of the 12 interventions assessing child physical activity in priority populations, 9/12 reported at least one physical activity outcome in the expected direction. Of the 11 interventions assessing the physical activity environment, 9/11 reported an effect in the expected direction. Findings indicate clear opportunities exist to target priority populations by incorporating PSE approaches in ECE physical activity interventions.

Young Children's Dietary Quality in Family Child Care and in Their Own Home

BACKGROUND

Some evidence suggests that children may have higher quality dietary intake in early care and education settings, compared with their respective homes, but no studies have explored these differences among children in less formal family child care.

OBJECTIVE

The purpose of this study was to compare dietary quality via the Healthy Eating Index 2015 among children in family child care and in their own home.

DESIGN

This was a cross-sectional analysis of baseline dietary intake data from the Childcare Home Eating and Exercise Research study, a natural experiment, using directly observed dietary data in child care and 24-hour recall data in homes among children in South Carolina.

PARTICIPANTS/SETTING

Participants were 123 children in 52 family child-care homes between 2018 and 2019.

MAIN OUTCOME MEASURE

The main outcome was total and component Healthy Eating Index 2015 scores.

STATISTICAL ANALYSIS

The analysis was a hierarchical linear regression of children nested within family child care homes adjusting for child, provider, facility, and parent characteristics, including sex, age, race, ethnicity, and income, with parameters and SEs estimated via bootstrap sampling.

RESULTS

Children had a mean ± SD Healthy Eating Index 2015 score of 60.3 ± 12.1 in family child-care homes and 54.3 ± 12.9 in their own home (P < 0.001). In adjusted analysis and after accounting for clustering of children in family child care homes, total HEI-2015 scores were lower at home than in care (β = -5.18 ± 1.47; 95% CI -8.05 to -2.30; P = 0.003).

CONCLUSIONS

Children had healthier dietary intake in family child-care homes vs their respective homes.

"My wellbeing-their wellbeing "- An eHealth intervention for managing obesity in early care and education: Protocol for the Go NAPSACC Cares cluster randomized control trial

BACKGROUND

To fully leverage the potential of the early care and education (ECE) setting for childhood obesity prevention, initiatives must not intervene solely at the organizational level, but rather they should also address the health needs of the ECE workers. Workers suffer disproportionately high rates of obesity, and have reported low confidence in modeling and promoting healthy eating and activity behaviors. However, information regarding the effectiveness of improving ECE workers' health behaviors or whether such improvements elicit meaningful change in the ECE environment and/or the children in their care is limited.

METHOD

The proposed study will integrate a staff wellness intervention into a nationally recognized, ECE obesity prevention initiative (Go NAPSACC). Go NAPSACC+ Staff Wellness program will be assessed using a clustered randomized controlled trial including 84 ECE centers, 168 workers, and 672 2-5-year-old children. Centers will be randomly assigned to 1) standard "Go NAPSACC" or 2) Go NAPSACC+ Staff Wellness. Outcome measures will assess impact on dietary intake and PA behaviors of 2-5-year-old children at 6 months (primary aim) and 12 months. Secondarily, we will compare the impact of the intervention on centers' implementation of healthy weight practices and the effect on ECE workers' diet quality and PA at 6- and 12 months.

DISCUSSION

This trial expects to increase our understanding of how ECE worker's personal health behaviors impact the health behaviors of the children in their care and the ECE environment.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT05656807, registered on 19 December 2022. Protocol version 1.0, 22 March 2023.

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.

Policy, system, and environmental interventions addressing obesity and diet-related outcomes in early childhood education settings: A systematic review

Early childhood education (ECE) settings play an important role in child dietary intake and excess weight gain. Policy, systems, and environment (PSE) approaches have potential to reduce disparities in children at higher risk for obesity. The purpose of this review was to (1) characterize the inclusion of populations at higher risk for obesity in ECE interventions and (2) identify effective ECE interventions in these populations. Seven databases were searched for ECE interventions. Intervention characteristics and methodological quality were assessed in 35 articles representing 34 interventions. Interventions identified were mainly a combination of ECE and parent interventions (41%) or stand-alone ECE intervention (29%), with few multisector efforts (23%) or government regulations assessed (5%). Many included policy (70%) or social environment components (61%). For Aim 1, two thirds were conducted in primarily populations at higher risk for obesity (67%). Studies were rated as fair or good methodological quality. For Aim 2, 10 studies demonstrated effectiveness at improving diet or reducing obesity in populations at higher risk for obesity. Most included a longer intervention (i.e., >6 months), multiple PSE components, and formative work. Opportunities to incorporate more PSE components in ECE-based interventions and collaborate with parents and communities are warranted to improve child health.

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.

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.

Physical Activity and Screen Time Practices of Family Child Care Providers: Do They Meet Best Practice Guidelines?

Background: Child care settings significantly influence children's physical activity (PA) and screen time (ST) behaviors, yet less research has been conducted in family child care homes (FCCHs) than in child care centers. While a few studies have measured family child care providers' (FCCPs') PA practices, none have used observation to assess which specific evidence-based, best practice guidelines FCCPs met or did not meet, and no previous studies have included Latinx providers. This article examines FCCPs' adherence to PA and ST best practice guidelines using primarily observational methods with diverse FCCPs (including Latinx). Methods: We examined baseline data from a cluster randomized trial including surveys and observational data collected at the FCCH to assess whether providers met specific PA and ST best practices from the Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) and the American Academy of Pediatrics. Results: Providers completed a telephone survey and participated in two full-day observations (n = 127; 72% Hispanic). Overall, only 4 of 14 PA and ST best practices were met by >50% of providers including: leading a planned PA class more than once a week; no ST during meal or snack; not modeling sedentary behavior; and providing families with information about children's ST. Best practices least likely to be met (<20% of providers) include: providing children with >60 minutes of outdoor play daily; providing children with >45 minutes of adult-led PA each day; participating in outdoor PA with children; participating in indoor PA with children; prompting and praising children for being active; and talking with children informally about the importance of PA. Conclusions: While FCCPs engage in some positive PA and ST practices, many providers do not meet best practice guidelines. There is a need for more research about how to overcome providers' personal and environmental barriers for meeting these guidelines as well as interventions and supports to overcome these barriers. Clinical Trial Registration Number NCT0245645.

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.

Assessment of Feeding Practices and Mealtime Environments in Australian Family Daycare Services

OBJECTIVE

Assess educators' feeding practices and mealtime environments in family daycare services and examine the factors associated with educators' feeding practices and mealtime environments.

METHODS

Cross-sectional observational study of family daycare services (n = 33) in Australia. Best practices for mealtime environments and educator feeding practices were assessed during each mealtime using the Environment Policy Assessment and Observation instrument. Correlates assessed via survey included: socioeconomic status, main language spoken at home, early childhood career experience, and nutrition professional development. Descriptive statistics and independent t tests were calculated.

RESULTS

Educators typically had higher scores, indicating better practices, for (the absence of) negative practices compared with positive practices. The only positive practice meeting best-practice standards was educators sitting with children during the meal. There were no significant correlations for educators' feeding practices or mealtime environment.

CONCLUSIONS AND IMPLICATIONS

Educators may benefit from professional development targeting positive feeding practices and supportive mealtime environments.

Involvement of Non-Parental Caregivers in Obesity Prevention Interventions among 0-3-Year-Old Children: A Scoping Review

INTRODUCTION

We examined the scope of literature including non-parental caregiver involvement in child obesity prevention interventions.

METHODS

We conducted a scoping review following the Arksey and O'Malley framework, including only studies reporting 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.

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.

Barriers and facilitators to the implementation of healthy eating, physical activity and obesity prevention policies, practices or programs in family day care: A mixed method systematic review

Family day care (FDC) services provide care to young children typically within the carer's own home and represents a unique setting to deliver public health programs to improve child health. To support the implementation of programs targeting healthy eating, physical activity and obesity prevention in the FDC setting, an understanding of the factors influencing their implementation is required. This mixed methods systematic review aimed to describe the barriers and facilitators to the implementation of healthy eating, physical activity or obesity prevention policies, practices and programs (hereafter referred to as programs) in the FDC setting, and synthesise these according to the Theoretical Domains Framework (TDF). Electronic searches were conducted in 7 databases up to July 2020 to identify studies reporting the barriers and/or facilitators to program implementation in the FDC setting. Methodological quality assessments of included studies were conducted using the Mixed Methods Appraisal Tool (MMAT). Twenty studies met the review inclusion criteria (12 qualitative, 6 quantitative, 2 mixed methods). Of the 20 included studies, 16 reported barriers and facilitators mapped to the 'environmental contexts and resources' TDF domain; 10 reported barriers mapped to the 'social influences' TDF domain. Ten of the 12 qualitative studies and none of the quantitative or mixed method studies met all relevant MMAT criteria. This review comprehensively describes barriers and facilitators that need to be addressed to improve the implementation of healthy eating, physical activity and obesity prevention programs in FDC to ensure the expected health benefits of such programs reach children attending FDC.

Implementation of a workplace physical activity intervention in child care: process evaluation results from the Care2BWell trial

Care2BWell was designed to evaluate the efficacy of Healthy Lifestyles (HL), a worksite health promotion intervention to increase child care workers' physical activity. The purpose of this study was to use process evaluation to describe the implementation of HL and determine if different levels of implementation are associated with changes in workers' physical activity. Data were collected from 250 workers randomized to HL, a 6 month, multilevel intervention that included an educational workshop followed by three 8 week campaigns that included self-monitoring and feedback, raffle incentive, social support, and center director coaching. Process evaluation data collection included direct observation, self-reported evaluation surveys, website analytics and user test account data, tracking databases and semi-structured interviews. Implementation scores were calculated for each intervention component and compared at the center and individual levels. Nearly a third of workers never self-monitored and few (16%) met self-monitoring goals. Only 39% of centers engaged with the social support component as intended. Raffle and social support components were perceived as the least useful. Implementation varied widely by center (25%-76%) and individual workers (0%-94%). No within- or between-group differences for high compared to low implementation groups for change in physical activity were evident. Interview themes included limited sustainability, competing priorities, importance of social support, and desire for a more intensive, personalized intervention. Wide variation in implementation may explain limited effects on intervention outcomes. Future worksite interventions designed for child care workers can use these findings to optimize health promotion in this setting.

An Overview of Research Opportunities to Increase the Impact of Nutrition Intervention Research in Early Childhood and Education Care Settings According to the RE-AIM Framework

Objective: To highlight opportunities for future nutrition intervention research within early childhood and education care (ECEC) settings, with a focus on generating evidence that has applicability to real-world policy and practice. Methods: An overview of opportunities to progress the field was developed by the authors using a collaborative writing approach and informed by recent research in the field. The group developed a list of recommendations aligned with the reach, effectiveness, adoption, implementation and maintenance (RE-AIM) framework. Pairs of authors drafted individual sections of the manuscript, which were then reviewed by a separate pair. The first and senior author consolidated all sections of the manuscript and sought critical input on the draft iterations of the manuscript. Results: Interventions that employ digital platforms (reach) in ECEC settings, as well as research in the family day care setting (effectiveness) were identified as areas of opportunities. Research understanding the determinants of and effective strategies for dissemination (adoption), the implementation of nutrition programs, in addition to de-implementation (implementation) of inappropriate nutrition practices, is warranted. For maintenance, there is a need to better understand sustainability and the sustainment of interventions, in addition to undertaking policy-relevant research. Conclusions: The ECEC setting is prime for innovative and practical nutrition intervention research.

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.